Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- checkpoint-3125/README.md +202 -0
- checkpoint-3125/adapter_config.json +31 -0
- checkpoint-3125/adapter_model.safetensors +3 -0
- checkpoint-3125/merges.txt +0 -0
- checkpoint-3125/optimizer.pt +3 -0
- checkpoint-3125/rng_state.pth +3 -0
- checkpoint-3125/scheduler.pt +3 -0
- checkpoint-3125/special_tokens_map.json +24 -0
- checkpoint-3125/tokenizer_config.json +22 -0
- checkpoint-3125/trainer_state.json +2217 -0
- checkpoint-3125/training_args.bin +3 -0
- checkpoint-3125/vocab.json +0 -0
- checkpoint-6250/README.md +202 -0
- checkpoint-6250/adapter_config.json +31 -0
- checkpoint-6250/adapter_model.safetensors +3 -0
- checkpoint-6250/merges.txt +0 -0
- checkpoint-6250/optimizer.pt +3 -0
- checkpoint-6250/rng_state.pth +3 -0
- checkpoint-6250/scheduler.pt +3 -0
- checkpoint-6250/special_tokens_map.json +24 -0
- checkpoint-6250/tokenizer_config.json +22 -0
- checkpoint-6250/trainer_state.json +0 -0
- checkpoint-6250/training_args.bin +3 -0
- checkpoint-6250/vocab.json +0 -0
- checkpoint-9375/README.md +202 -0
- checkpoint-9375/adapter_config.json +31 -0
- checkpoint-9375/adapter_model.safetensors +3 -0
- checkpoint-9375/merges.txt +0 -0
- checkpoint-9375/optimizer.pt +3 -0
- checkpoint-9375/rng_state.pth +3 -0
- checkpoint-9375/scheduler.pt +3 -0
- checkpoint-9375/special_tokens_map.json +24 -0
- checkpoint-9375/tokenizer_config.json +22 -0
- checkpoint-9375/trainer_state.json +0 -0
- checkpoint-9375/training_args.bin +3 -0
- checkpoint-9375/vocab.json +0 -0
- config.json +40 -0
- merges.txt +0 -0
- special_tokens_map.json +24 -0
- tokenizer_config.json +22 -0
- training_logs.csv +939 -0
- vocab.json +0 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: gpt2-medium
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "GPT2LMHeadModel",
|
| 5 |
+
"parent_library": "transformers.models.gpt2.modeling_gpt2"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "gpt2-medium",
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": true,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 128,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 64,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"c_attn"
|
| 27 |
+
],
|
| 28 |
+
"task_type": null,
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e080b6018d76cf35e380d38c6d986e6242e3d34fb8b0e94622e054c202fb2587
|
| 3 |
+
size 25172088
|
checkpoint-3125/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: gpt2-medium
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
checkpoint-3125/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "GPT2LMHeadModel",
|
| 5 |
+
"parent_library": "transformers.models.gpt2.modeling_gpt2"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "gpt2-medium",
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": true,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 128,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 64,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"c_attn"
|
| 27 |
+
],
|
| 28 |
+
"task_type": null,
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
checkpoint-3125/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:808eb6c7977cb683352c4d6e4f4509c0b6bbf25932055faca1b9d2c3fd96995e
|
| 3 |
+
size 25172088
|
checkpoint-3125/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-3125/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:33b5cff42bfd7cca5a61241e4983ca3d59d3c0fa36588b98b5393a3201b8401f
|
| 3 |
+
size 50372538
|
checkpoint-3125/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b19bb2054b92e3b341aeff130324419c0b360c2bd88cd65e4248549686c44ce5
|
| 3 |
+
size 14244
|
checkpoint-3125/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:392855cc9cbe029377262097ef598767921e2a3bc6937822c989a7603ee182c3
|
| 3 |
+
size 1064
|
checkpoint-3125/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|endoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|endoftext|>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<|endoftext|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": true,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-3125/tokenizer_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"50256": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
}
|
| 13 |
+
},
|
| 14 |
+
"bos_token": "<|endoftext|>",
|
| 15 |
+
"clean_up_tokenization_spaces": false,
|
| 16 |
+
"eos_token": "<|endoftext|>",
|
| 17 |
+
"errors": "replace",
|
| 18 |
+
"model_max_length": 1024,
|
| 19 |
+
"pad_token": "<|endoftext|>",
|
| 20 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 21 |
+
"unk_token": "<|endoftext|>"
|
| 22 |
+
}
|
checkpoint-3125/trainer_state.json
ADDED
|
@@ -0,0 +1,2217 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 3125,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0032,
|
| 13 |
+
"grad_norm": 10.0,
|
| 14 |
+
"learning_rate": 2.132196162046908e-06,
|
| 15 |
+
"loss": 28.3701,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0064,
|
| 20 |
+
"grad_norm": 10.0,
|
| 21 |
+
"learning_rate": 4.264392324093816e-06,
|
| 22 |
+
"loss": 24.5207,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0096,
|
| 27 |
+
"grad_norm": 10.0,
|
| 28 |
+
"learning_rate": 6.396588486140726e-06,
|
| 29 |
+
"loss": 22.6885,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0128,
|
| 34 |
+
"grad_norm": 10.0,
|
| 35 |
+
"learning_rate": 8.528784648187633e-06,
|
| 36 |
+
"loss": 25.2666,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.016,
|
| 41 |
+
"grad_norm": 10.0,
|
| 42 |
+
"learning_rate": 1.0660980810234541e-05,
|
| 43 |
+
"loss": 23.0791,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.0192,
|
| 48 |
+
"grad_norm": 9.999999046325684,
|
| 49 |
+
"learning_rate": 1.2793176972281452e-05,
|
| 50 |
+
"loss": 23.3554,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.0224,
|
| 55 |
+
"grad_norm": 10.000000953674316,
|
| 56 |
+
"learning_rate": 1.4925373134328357e-05,
|
| 57 |
+
"loss": 23.0232,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.0256,
|
| 62 |
+
"grad_norm": 10.0,
|
| 63 |
+
"learning_rate": 1.7057569296375266e-05,
|
| 64 |
+
"loss": 21.8077,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.0288,
|
| 69 |
+
"grad_norm": 9.999999046325684,
|
| 70 |
+
"learning_rate": 1.9189765458422178e-05,
|
| 71 |
+
"loss": 20.0271,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.032,
|
| 76 |
+
"grad_norm": 9.999999046325684,
|
| 77 |
+
"learning_rate": 2.1321961620469083e-05,
|
| 78 |
+
"loss": 17.0629,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.0352,
|
| 83 |
+
"grad_norm": 9.999999046325684,
|
| 84 |
+
"learning_rate": 2.345415778251599e-05,
|
| 85 |
+
"loss": 18.8398,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.0384,
|
| 90 |
+
"grad_norm": 9.999998092651367,
|
| 91 |
+
"learning_rate": 2.5586353944562904e-05,
|
| 92 |
+
"loss": 15.8197,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.0416,
|
| 97 |
+
"grad_norm": 9.999998092651367,
|
| 98 |
+
"learning_rate": 2.771855010660981e-05,
|
| 99 |
+
"loss": 14.2088,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.0448,
|
| 104 |
+
"grad_norm": 10.0,
|
| 105 |
+
"learning_rate": 2.9850746268656714e-05,
|
| 106 |
+
"loss": 14.0394,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.048,
|
| 111 |
+
"grad_norm": 10.0,
|
| 112 |
+
"learning_rate": 3.1982942430703626e-05,
|
| 113 |
+
"loss": 14.3635,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.0512,
|
| 118 |
+
"grad_norm": 10.0,
|
| 119 |
+
"learning_rate": 3.411513859275053e-05,
|
| 120 |
+
"loss": 11.0378,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.0544,
|
| 125 |
+
"grad_norm": 9.999999046325684,
|
| 126 |
+
"learning_rate": 3.624733475479744e-05,
|
| 127 |
+
"loss": 10.8982,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.0576,
|
| 132 |
+
"grad_norm": 9.999998092651367,
|
| 133 |
+
"learning_rate": 3.8379530916844355e-05,
|
| 134 |
+
"loss": 9.9566,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.0608,
|
| 139 |
+
"grad_norm": 9.999999046325684,
|
| 140 |
+
"learning_rate": 4.051172707889126e-05,
|
| 141 |
+
"loss": 10.2806,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.064,
|
| 146 |
+
"grad_norm": 9.999999046325684,
|
| 147 |
+
"learning_rate": 4.2643923240938166e-05,
|
| 148 |
+
"loss": 9.8932,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.0672,
|
| 153 |
+
"grad_norm": 10.0,
|
| 154 |
+
"learning_rate": 4.477611940298508e-05,
|
| 155 |
+
"loss": 8.1511,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.0704,
|
| 160 |
+
"grad_norm": 9.999998092651367,
|
| 161 |
+
"learning_rate": 4.690831556503198e-05,
|
| 162 |
+
"loss": 8.07,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.0736,
|
| 167 |
+
"grad_norm": 9.999999046325684,
|
| 168 |
+
"learning_rate": 4.904051172707889e-05,
|
| 169 |
+
"loss": 8.0589,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.0768,
|
| 174 |
+
"grad_norm": 9.999998092651367,
|
| 175 |
+
"learning_rate": 5.117270788912581e-05,
|
| 176 |
+
"loss": 6.8857,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.08,
|
| 181 |
+
"grad_norm": 9.999999046325684,
|
| 182 |
+
"learning_rate": 5.330490405117271e-05,
|
| 183 |
+
"loss": 6.7318,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.0832,
|
| 188 |
+
"grad_norm": 10.0,
|
| 189 |
+
"learning_rate": 5.543710021321962e-05,
|
| 190 |
+
"loss": 7.0872,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.0864,
|
| 195 |
+
"grad_norm": 9.999999046325684,
|
| 196 |
+
"learning_rate": 5.756929637526652e-05,
|
| 197 |
+
"loss": 6.5861,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.0896,
|
| 202 |
+
"grad_norm": 10.0,
|
| 203 |
+
"learning_rate": 5.970149253731343e-05,
|
| 204 |
+
"loss": 6.3828,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.0928,
|
| 209 |
+
"grad_norm": 10.0,
|
| 210 |
+
"learning_rate": 6.183368869936035e-05,
|
| 211 |
+
"loss": 6.0198,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.096,
|
| 216 |
+
"grad_norm": 9.999999046325684,
|
| 217 |
+
"learning_rate": 6.396588486140725e-05,
|
| 218 |
+
"loss": 6.2239,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.0992,
|
| 223 |
+
"grad_norm": 9.999999046325684,
|
| 224 |
+
"learning_rate": 6.609808102345416e-05,
|
| 225 |
+
"loss": 5.7589,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.1024,
|
| 230 |
+
"grad_norm": 9.999998092651367,
|
| 231 |
+
"learning_rate": 6.823027718550106e-05,
|
| 232 |
+
"loss": 5.4196,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.1056,
|
| 237 |
+
"grad_norm": 9.999999046325684,
|
| 238 |
+
"learning_rate": 7.036247334754798e-05,
|
| 239 |
+
"loss": 5.6412,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.1088,
|
| 244 |
+
"grad_norm": 10.0,
|
| 245 |
+
"learning_rate": 7.249466950959489e-05,
|
| 246 |
+
"loss": 5.2791,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.112,
|
| 251 |
+
"grad_norm": 10.0,
|
| 252 |
+
"learning_rate": 7.46268656716418e-05,
|
| 253 |
+
"loss": 5.5189,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.1152,
|
| 258 |
+
"grad_norm": 10.0,
|
| 259 |
+
"learning_rate": 7.675906183368871e-05,
|
| 260 |
+
"loss": 5.0969,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.1184,
|
| 265 |
+
"grad_norm": 9.999999046325684,
|
| 266 |
+
"learning_rate": 7.889125799573562e-05,
|
| 267 |
+
"loss": 5.2089,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.1216,
|
| 272 |
+
"grad_norm": 9.999999046325684,
|
| 273 |
+
"learning_rate": 8.102345415778252e-05,
|
| 274 |
+
"loss": 6.2735,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.1248,
|
| 279 |
+
"grad_norm": 9.999999046325684,
|
| 280 |
+
"learning_rate": 8.315565031982943e-05,
|
| 281 |
+
"loss": 5.1972,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.128,
|
| 286 |
+
"grad_norm": 9.999998092651367,
|
| 287 |
+
"learning_rate": 8.528784648187633e-05,
|
| 288 |
+
"loss": 4.791,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.1312,
|
| 293 |
+
"grad_norm": 10.0,
|
| 294 |
+
"learning_rate": 8.742004264392325e-05,
|
| 295 |
+
"loss": 5.139,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.1344,
|
| 300 |
+
"grad_norm": 9.999998092651367,
|
| 301 |
+
"learning_rate": 8.955223880597016e-05,
|
| 302 |
+
"loss": 5.1234,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.1376,
|
| 307 |
+
"grad_norm": 9.726828575134277,
|
| 308 |
+
"learning_rate": 9.168443496801706e-05,
|
| 309 |
+
"loss": 4.763,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.1408,
|
| 314 |
+
"grad_norm": 10.0,
|
| 315 |
+
"learning_rate": 9.381663113006397e-05,
|
| 316 |
+
"loss": 5.0725,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.144,
|
| 321 |
+
"grad_norm": 10.0,
|
| 322 |
+
"learning_rate": 9.594882729211087e-05,
|
| 323 |
+
"loss": 4.708,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.1472,
|
| 328 |
+
"grad_norm": 9.999999046325684,
|
| 329 |
+
"learning_rate": 9.808102345415778e-05,
|
| 330 |
+
"loss": 4.3924,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.1504,
|
| 335 |
+
"grad_norm": 8.861834526062012,
|
| 336 |
+
"learning_rate": 9.998877161464182e-05,
|
| 337 |
+
"loss": 4.3606,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.1536,
|
| 342 |
+
"grad_norm": 9.999999046325684,
|
| 343 |
+
"learning_rate": 9.987648776105997e-05,
|
| 344 |
+
"loss": 4.2736,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.1568,
|
| 349 |
+
"grad_norm": 9.999999046325684,
|
| 350 |
+
"learning_rate": 9.97642039074781e-05,
|
| 351 |
+
"loss": 4.5541,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.16,
|
| 356 |
+
"grad_norm": 8.72944450378418,
|
| 357 |
+
"learning_rate": 9.965192005389625e-05,
|
| 358 |
+
"loss": 4.3459,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.1632,
|
| 363 |
+
"grad_norm": 9.999999046325684,
|
| 364 |
+
"learning_rate": 9.95396362003144e-05,
|
| 365 |
+
"loss": 4.0927,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.1664,
|
| 370 |
+
"grad_norm": 9.396402359008789,
|
| 371 |
+
"learning_rate": 9.942735234673256e-05,
|
| 372 |
+
"loss": 4.1877,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.1696,
|
| 377 |
+
"grad_norm": 6.486421585083008,
|
| 378 |
+
"learning_rate": 9.931506849315069e-05,
|
| 379 |
+
"loss": 3.9887,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.1728,
|
| 384 |
+
"grad_norm": 9.999999046325684,
|
| 385 |
+
"learning_rate": 9.920278463956883e-05,
|
| 386 |
+
"loss": 4.1643,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.176,
|
| 391 |
+
"grad_norm": 8.012758255004883,
|
| 392 |
+
"learning_rate": 9.909050078598698e-05,
|
| 393 |
+
"loss": 4.0236,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.1792,
|
| 398 |
+
"grad_norm": 9.999999046325684,
|
| 399 |
+
"learning_rate": 9.897821693240512e-05,
|
| 400 |
+
"loss": 3.9494,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.1824,
|
| 405 |
+
"grad_norm": 9.999998092651367,
|
| 406 |
+
"learning_rate": 9.886593307882327e-05,
|
| 407 |
+
"loss": 3.7742,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.1856,
|
| 412 |
+
"grad_norm": 9.999999046325684,
|
| 413 |
+
"learning_rate": 9.875364922524142e-05,
|
| 414 |
+
"loss": 3.817,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.1888,
|
| 419 |
+
"grad_norm": 10.0,
|
| 420 |
+
"learning_rate": 9.864136537165956e-05,
|
| 421 |
+
"loss": 3.8002,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.192,
|
| 426 |
+
"grad_norm": 9.999998092651367,
|
| 427 |
+
"learning_rate": 9.852908151807771e-05,
|
| 428 |
+
"loss": 3.5841,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.1952,
|
| 433 |
+
"grad_norm": 9.999998092651367,
|
| 434 |
+
"learning_rate": 9.841679766449586e-05,
|
| 435 |
+
"loss": 3.7045,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.1984,
|
| 440 |
+
"grad_norm": 9.999999046325684,
|
| 441 |
+
"learning_rate": 9.8304513810914e-05,
|
| 442 |
+
"loss": 3.3623,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.2016,
|
| 447 |
+
"grad_norm": 9.999998092651367,
|
| 448 |
+
"learning_rate": 9.819222995733213e-05,
|
| 449 |
+
"loss": 3.3953,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.2048,
|
| 454 |
+
"grad_norm": 7.71815824508667,
|
| 455 |
+
"learning_rate": 9.807994610375028e-05,
|
| 456 |
+
"loss": 3.5513,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.208,
|
| 461 |
+
"grad_norm": 7.819033145904541,
|
| 462 |
+
"learning_rate": 9.796766225016843e-05,
|
| 463 |
+
"loss": 3.3845,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.2112,
|
| 468 |
+
"grad_norm": 9.44756031036377,
|
| 469 |
+
"learning_rate": 9.785537839658657e-05,
|
| 470 |
+
"loss": 3.2571,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.2144,
|
| 475 |
+
"grad_norm": 5.626587390899658,
|
| 476 |
+
"learning_rate": 9.774309454300472e-05,
|
| 477 |
+
"loss": 3.1949,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.2176,
|
| 482 |
+
"grad_norm": 9.968693733215332,
|
| 483 |
+
"learning_rate": 9.763081068942287e-05,
|
| 484 |
+
"loss": 3.05,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.2208,
|
| 489 |
+
"grad_norm": 9.028199195861816,
|
| 490 |
+
"learning_rate": 9.751852683584101e-05,
|
| 491 |
+
"loss": 3.378,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.224,
|
| 496 |
+
"grad_norm": 9.999999046325684,
|
| 497 |
+
"learning_rate": 9.740624298225916e-05,
|
| 498 |
+
"loss": 3.2383,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.2272,
|
| 503 |
+
"grad_norm": 10.0,
|
| 504 |
+
"learning_rate": 9.729395912867731e-05,
|
| 505 |
+
"loss": 3.2572,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.2304,
|
| 510 |
+
"grad_norm": 9.906242370605469,
|
| 511 |
+
"learning_rate": 9.718167527509545e-05,
|
| 512 |
+
"loss": 3.2422,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.2336,
|
| 517 |
+
"grad_norm": 7.099668025970459,
|
| 518 |
+
"learning_rate": 9.706939142151358e-05,
|
| 519 |
+
"loss": 3.199,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.2368,
|
| 524 |
+
"grad_norm": 6.1059136390686035,
|
| 525 |
+
"learning_rate": 9.695710756793174e-05,
|
| 526 |
+
"loss": 2.9136,
|
| 527 |
+
"step": 740
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.24,
|
| 531 |
+
"grad_norm": 8.184073448181152,
|
| 532 |
+
"learning_rate": 9.684482371434989e-05,
|
| 533 |
+
"loss": 3.0956,
|
| 534 |
+
"step": 750
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.2432,
|
| 538 |
+
"grad_norm": 7.790270805358887,
|
| 539 |
+
"learning_rate": 9.673253986076802e-05,
|
| 540 |
+
"loss": 2.9784,
|
| 541 |
+
"step": 760
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.2464,
|
| 545 |
+
"grad_norm": 9.385482788085938,
|
| 546 |
+
"learning_rate": 9.662025600718617e-05,
|
| 547 |
+
"loss": 3.042,
|
| 548 |
+
"step": 770
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.2496,
|
| 552 |
+
"grad_norm": 9.105142593383789,
|
| 553 |
+
"learning_rate": 9.650797215360432e-05,
|
| 554 |
+
"loss": 3.0201,
|
| 555 |
+
"step": 780
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.2528,
|
| 559 |
+
"grad_norm": 9.999999046325684,
|
| 560 |
+
"learning_rate": 9.639568830002246e-05,
|
| 561 |
+
"loss": 2.8601,
|
| 562 |
+
"step": 790
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.256,
|
| 566 |
+
"grad_norm": 9.999999046325684,
|
| 567 |
+
"learning_rate": 9.628340444644061e-05,
|
| 568 |
+
"loss": 3.0558,
|
| 569 |
+
"step": 800
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.2592,
|
| 573 |
+
"grad_norm": 7.617279052734375,
|
| 574 |
+
"learning_rate": 9.617112059285875e-05,
|
| 575 |
+
"loss": 2.9531,
|
| 576 |
+
"step": 810
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.2624,
|
| 580 |
+
"grad_norm": 7.272448539733887,
|
| 581 |
+
"learning_rate": 9.605883673927689e-05,
|
| 582 |
+
"loss": 2.9163,
|
| 583 |
+
"step": 820
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.2656,
|
| 587 |
+
"grad_norm": 10.0,
|
| 588 |
+
"learning_rate": 9.594655288569504e-05,
|
| 589 |
+
"loss": 3.0416,
|
| 590 |
+
"step": 830
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.2688,
|
| 594 |
+
"grad_norm": 6.786662578582764,
|
| 595 |
+
"learning_rate": 9.583426903211319e-05,
|
| 596 |
+
"loss": 3.0136,
|
| 597 |
+
"step": 840
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.272,
|
| 601 |
+
"grad_norm": 6.918086051940918,
|
| 602 |
+
"learning_rate": 9.572198517853134e-05,
|
| 603 |
+
"loss": 2.8705,
|
| 604 |
+
"step": 850
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.2752,
|
| 608 |
+
"grad_norm": 9.991483688354492,
|
| 609 |
+
"learning_rate": 9.560970132494948e-05,
|
| 610 |
+
"loss": 2.9016,
|
| 611 |
+
"step": 860
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.2784,
|
| 615 |
+
"grad_norm": 6.9515581130981445,
|
| 616 |
+
"learning_rate": 9.549741747136763e-05,
|
| 617 |
+
"loss": 2.7265,
|
| 618 |
+
"step": 870
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.2816,
|
| 622 |
+
"grad_norm": 8.731250762939453,
|
| 623 |
+
"learning_rate": 9.538513361778578e-05,
|
| 624 |
+
"loss": 2.8442,
|
| 625 |
+
"step": 880
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.2848,
|
| 629 |
+
"grad_norm": 7.565758228302002,
|
| 630 |
+
"learning_rate": 9.527284976420391e-05,
|
| 631 |
+
"loss": 2.7234,
|
| 632 |
+
"step": 890
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.288,
|
| 636 |
+
"grad_norm": 7.732306003570557,
|
| 637 |
+
"learning_rate": 9.516056591062205e-05,
|
| 638 |
+
"loss": 3.0467,
|
| 639 |
+
"step": 900
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.2912,
|
| 643 |
+
"grad_norm": 9.999999046325684,
|
| 644 |
+
"learning_rate": 9.50482820570402e-05,
|
| 645 |
+
"loss": 2.9938,
|
| 646 |
+
"step": 910
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.2944,
|
| 650 |
+
"grad_norm": 7.414172649383545,
|
| 651 |
+
"learning_rate": 9.493599820345834e-05,
|
| 652 |
+
"loss": 2.7438,
|
| 653 |
+
"step": 920
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.2976,
|
| 657 |
+
"grad_norm": 8.1228609085083,
|
| 658 |
+
"learning_rate": 9.482371434987649e-05,
|
| 659 |
+
"loss": 2.8815,
|
| 660 |
+
"step": 930
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.3008,
|
| 664 |
+
"grad_norm": 6.716073513031006,
|
| 665 |
+
"learning_rate": 9.471143049629464e-05,
|
| 666 |
+
"loss": 2.6688,
|
| 667 |
+
"step": 940
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.304,
|
| 671 |
+
"grad_norm": 5.223897933959961,
|
| 672 |
+
"learning_rate": 9.459914664271278e-05,
|
| 673 |
+
"loss": 2.7251,
|
| 674 |
+
"step": 950
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.3072,
|
| 678 |
+
"grad_norm": 7.797822952270508,
|
| 679 |
+
"learning_rate": 9.448686278913093e-05,
|
| 680 |
+
"loss": 2.5746,
|
| 681 |
+
"step": 960
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.3104,
|
| 685 |
+
"grad_norm": 6.63670539855957,
|
| 686 |
+
"learning_rate": 9.437457893554908e-05,
|
| 687 |
+
"loss": 2.6461,
|
| 688 |
+
"step": 970
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.3136,
|
| 692 |
+
"grad_norm": 10.0,
|
| 693 |
+
"learning_rate": 9.426229508196722e-05,
|
| 694 |
+
"loss": 2.7993,
|
| 695 |
+
"step": 980
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.3168,
|
| 699 |
+
"grad_norm": 7.738500595092773,
|
| 700 |
+
"learning_rate": 9.415001122838537e-05,
|
| 701 |
+
"loss": 2.7401,
|
| 702 |
+
"step": 990
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.32,
|
| 706 |
+
"grad_norm": 8.710482597351074,
|
| 707 |
+
"learning_rate": 9.40377273748035e-05,
|
| 708 |
+
"loss": 2.6068,
|
| 709 |
+
"step": 1000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.3232,
|
| 713 |
+
"grad_norm": 6.2432684898376465,
|
| 714 |
+
"learning_rate": 9.392544352122165e-05,
|
| 715 |
+
"loss": 2.6246,
|
| 716 |
+
"step": 1010
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.3264,
|
| 720 |
+
"grad_norm": 7.530930519104004,
|
| 721 |
+
"learning_rate": 9.381315966763979e-05,
|
| 722 |
+
"loss": 2.7303,
|
| 723 |
+
"step": 1020
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.3296,
|
| 727 |
+
"grad_norm": 9.89444637298584,
|
| 728 |
+
"learning_rate": 9.370087581405794e-05,
|
| 729 |
+
"loss": 2.7558,
|
| 730 |
+
"step": 1030
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.3328,
|
| 734 |
+
"grad_norm": 9.999998092651367,
|
| 735 |
+
"learning_rate": 9.358859196047609e-05,
|
| 736 |
+
"loss": 2.8216,
|
| 737 |
+
"step": 1040
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.336,
|
| 741 |
+
"grad_norm": 5.699310302734375,
|
| 742 |
+
"learning_rate": 9.347630810689423e-05,
|
| 743 |
+
"loss": 2.81,
|
| 744 |
+
"step": 1050
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.3392,
|
| 748 |
+
"grad_norm": 9.999999046325684,
|
| 749 |
+
"learning_rate": 9.336402425331238e-05,
|
| 750 |
+
"loss": 2.797,
|
| 751 |
+
"step": 1060
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.3424,
|
| 755 |
+
"grad_norm": 5.669271469116211,
|
| 756 |
+
"learning_rate": 9.325174039973053e-05,
|
| 757 |
+
"loss": 2.6244,
|
| 758 |
+
"step": 1070
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.3456,
|
| 762 |
+
"grad_norm": 9.576983451843262,
|
| 763 |
+
"learning_rate": 9.313945654614867e-05,
|
| 764 |
+
"loss": 2.7266,
|
| 765 |
+
"step": 1080
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.3488,
|
| 769 |
+
"grad_norm": 5.313910007476807,
|
| 770 |
+
"learning_rate": 9.30271726925668e-05,
|
| 771 |
+
"loss": 2.8692,
|
| 772 |
+
"step": 1090
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.352,
|
| 776 |
+
"grad_norm": 8.139154434204102,
|
| 777 |
+
"learning_rate": 9.291488883898496e-05,
|
| 778 |
+
"loss": 2.6439,
|
| 779 |
+
"step": 1100
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.3552,
|
| 783 |
+
"grad_norm": 6.6432600021362305,
|
| 784 |
+
"learning_rate": 9.280260498540311e-05,
|
| 785 |
+
"loss": 2.6079,
|
| 786 |
+
"step": 1110
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.3584,
|
| 790 |
+
"grad_norm": 9.999999046325684,
|
| 791 |
+
"learning_rate": 9.269032113182124e-05,
|
| 792 |
+
"loss": 2.7581,
|
| 793 |
+
"step": 1120
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.3616,
|
| 797 |
+
"grad_norm": 4.576703071594238,
|
| 798 |
+
"learning_rate": 9.25780372782394e-05,
|
| 799 |
+
"loss": 2.6304,
|
| 800 |
+
"step": 1130
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.3648,
|
| 804 |
+
"grad_norm": 5.5572285652160645,
|
| 805 |
+
"learning_rate": 9.246575342465755e-05,
|
| 806 |
+
"loss": 2.5335,
|
| 807 |
+
"step": 1140
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.368,
|
| 811 |
+
"grad_norm": 7.863306045532227,
|
| 812 |
+
"learning_rate": 9.235346957107568e-05,
|
| 813 |
+
"loss": 2.4998,
|
| 814 |
+
"step": 1150
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.3712,
|
| 818 |
+
"grad_norm": 8.850831031799316,
|
| 819 |
+
"learning_rate": 9.224118571749383e-05,
|
| 820 |
+
"loss": 2.6284,
|
| 821 |
+
"step": 1160
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.3744,
|
| 825 |
+
"grad_norm": 6.468632221221924,
|
| 826 |
+
"learning_rate": 9.212890186391197e-05,
|
| 827 |
+
"loss": 2.6882,
|
| 828 |
+
"step": 1170
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.3776,
|
| 832 |
+
"grad_norm": 5.677201271057129,
|
| 833 |
+
"learning_rate": 9.201661801033011e-05,
|
| 834 |
+
"loss": 2.4775,
|
| 835 |
+
"step": 1180
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.3808,
|
| 839 |
+
"grad_norm": 4.348922252655029,
|
| 840 |
+
"learning_rate": 9.190433415674826e-05,
|
| 841 |
+
"loss": 2.7046,
|
| 842 |
+
"step": 1190
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.384,
|
| 846 |
+
"grad_norm": 7.337803363800049,
|
| 847 |
+
"learning_rate": 9.179205030316641e-05,
|
| 848 |
+
"loss": 2.5728,
|
| 849 |
+
"step": 1200
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.3872,
|
| 853 |
+
"grad_norm": 9.881601333618164,
|
| 854 |
+
"learning_rate": 9.167976644958456e-05,
|
| 855 |
+
"loss": 2.5674,
|
| 856 |
+
"step": 1210
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.3904,
|
| 860 |
+
"grad_norm": 7.198265552520752,
|
| 861 |
+
"learning_rate": 9.15674825960027e-05,
|
| 862 |
+
"loss": 2.545,
|
| 863 |
+
"step": 1220
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.3936,
|
| 867 |
+
"grad_norm": 4.9246907234191895,
|
| 868 |
+
"learning_rate": 9.145519874242085e-05,
|
| 869 |
+
"loss": 2.7013,
|
| 870 |
+
"step": 1230
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.3968,
|
| 874 |
+
"grad_norm": 5.395358085632324,
|
| 875 |
+
"learning_rate": 9.1342914888839e-05,
|
| 876 |
+
"loss": 2.5742,
|
| 877 |
+
"step": 1240
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.4,
|
| 881 |
+
"grad_norm": 6.851541042327881,
|
| 882 |
+
"learning_rate": 9.123063103525713e-05,
|
| 883 |
+
"loss": 2.6272,
|
| 884 |
+
"step": 1250
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.4032,
|
| 888 |
+
"grad_norm": 6.056896209716797,
|
| 889 |
+
"learning_rate": 9.111834718167527e-05,
|
| 890 |
+
"loss": 2.5673,
|
| 891 |
+
"step": 1260
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.4064,
|
| 895 |
+
"grad_norm": 6.445649147033691,
|
| 896 |
+
"learning_rate": 9.100606332809342e-05,
|
| 897 |
+
"loss": 2.8856,
|
| 898 |
+
"step": 1270
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.4096,
|
| 902 |
+
"grad_norm": 7.691575527191162,
|
| 903 |
+
"learning_rate": 9.089377947451156e-05,
|
| 904 |
+
"loss": 2.6714,
|
| 905 |
+
"step": 1280
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.4128,
|
| 909 |
+
"grad_norm": 5.955436706542969,
|
| 910 |
+
"learning_rate": 9.078149562092971e-05,
|
| 911 |
+
"loss": 2.6481,
|
| 912 |
+
"step": 1290
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.416,
|
| 916 |
+
"grad_norm": 9.62521743774414,
|
| 917 |
+
"learning_rate": 9.066921176734786e-05,
|
| 918 |
+
"loss": 2.5761,
|
| 919 |
+
"step": 1300
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.4192,
|
| 923 |
+
"grad_norm": 4.644749641418457,
|
| 924 |
+
"learning_rate": 9.055692791376601e-05,
|
| 925 |
+
"loss": 2.5133,
|
| 926 |
+
"step": 1310
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.4224,
|
| 930 |
+
"grad_norm": 4.176416397094727,
|
| 931 |
+
"learning_rate": 9.044464406018415e-05,
|
| 932 |
+
"loss": 2.4743,
|
| 933 |
+
"step": 1320
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.4256,
|
| 937 |
+
"grad_norm": 6.192687511444092,
|
| 938 |
+
"learning_rate": 9.03323602066023e-05,
|
| 939 |
+
"loss": 2.5556,
|
| 940 |
+
"step": 1330
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.4288,
|
| 944 |
+
"grad_norm": 4.459692001342773,
|
| 945 |
+
"learning_rate": 9.022007635302045e-05,
|
| 946 |
+
"loss": 2.4436,
|
| 947 |
+
"step": 1340
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.432,
|
| 951 |
+
"grad_norm": 6.155325412750244,
|
| 952 |
+
"learning_rate": 9.010779249943859e-05,
|
| 953 |
+
"loss": 2.4914,
|
| 954 |
+
"step": 1350
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.4352,
|
| 958 |
+
"grad_norm": 4.706230163574219,
|
| 959 |
+
"learning_rate": 8.999550864585672e-05,
|
| 960 |
+
"loss": 2.4705,
|
| 961 |
+
"step": 1360
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.4384,
|
| 965 |
+
"grad_norm": 6.316796779632568,
|
| 966 |
+
"learning_rate": 8.988322479227488e-05,
|
| 967 |
+
"loss": 2.4537,
|
| 968 |
+
"step": 1370
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.4416,
|
| 972 |
+
"grad_norm": 7.529996395111084,
|
| 973 |
+
"learning_rate": 8.977094093869301e-05,
|
| 974 |
+
"loss": 2.3581,
|
| 975 |
+
"step": 1380
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.4448,
|
| 979 |
+
"grad_norm": 7.215747356414795,
|
| 980 |
+
"learning_rate": 8.965865708511116e-05,
|
| 981 |
+
"loss": 2.4923,
|
| 982 |
+
"step": 1390
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.448,
|
| 986 |
+
"grad_norm": 6.232388973236084,
|
| 987 |
+
"learning_rate": 8.954637323152931e-05,
|
| 988 |
+
"loss": 2.423,
|
| 989 |
+
"step": 1400
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.4512,
|
| 993 |
+
"grad_norm": 4.451657772064209,
|
| 994 |
+
"learning_rate": 8.943408937794746e-05,
|
| 995 |
+
"loss": 2.567,
|
| 996 |
+
"step": 1410
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.4544,
|
| 1000 |
+
"grad_norm": 5.643525123596191,
|
| 1001 |
+
"learning_rate": 8.93218055243656e-05,
|
| 1002 |
+
"loss": 2.4042,
|
| 1003 |
+
"step": 1420
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.4576,
|
| 1007 |
+
"grad_norm": 9.999999046325684,
|
| 1008 |
+
"learning_rate": 8.920952167078375e-05,
|
| 1009 |
+
"loss": 2.4591,
|
| 1010 |
+
"step": 1430
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.4608,
|
| 1014 |
+
"grad_norm": 7.8325514793396,
|
| 1015 |
+
"learning_rate": 8.909723781720189e-05,
|
| 1016 |
+
"loss": 2.5524,
|
| 1017 |
+
"step": 1440
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.464,
|
| 1021 |
+
"grad_norm": 7.601844310760498,
|
| 1022 |
+
"learning_rate": 8.898495396362003e-05,
|
| 1023 |
+
"loss": 2.4915,
|
| 1024 |
+
"step": 1450
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.4672,
|
| 1028 |
+
"grad_norm": 10.0,
|
| 1029 |
+
"learning_rate": 8.887267011003818e-05,
|
| 1030 |
+
"loss": 2.5315,
|
| 1031 |
+
"step": 1460
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.4704,
|
| 1035 |
+
"grad_norm": 5.353204250335693,
|
| 1036 |
+
"learning_rate": 8.876038625645633e-05,
|
| 1037 |
+
"loss": 2.4169,
|
| 1038 |
+
"step": 1470
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.4736,
|
| 1042 |
+
"grad_norm": 9.473418235778809,
|
| 1043 |
+
"learning_rate": 8.864810240287447e-05,
|
| 1044 |
+
"loss": 2.4273,
|
| 1045 |
+
"step": 1480
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.4768,
|
| 1049 |
+
"grad_norm": 9.468120574951172,
|
| 1050 |
+
"learning_rate": 8.853581854929262e-05,
|
| 1051 |
+
"loss": 2.6286,
|
| 1052 |
+
"step": 1490
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.48,
|
| 1056 |
+
"grad_norm": 5.575021743774414,
|
| 1057 |
+
"learning_rate": 8.842353469571077e-05,
|
| 1058 |
+
"loss": 2.6011,
|
| 1059 |
+
"step": 1500
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.4832,
|
| 1063 |
+
"grad_norm": 7.234686374664307,
|
| 1064 |
+
"learning_rate": 8.83112508421289e-05,
|
| 1065 |
+
"loss": 2.3283,
|
| 1066 |
+
"step": 1510
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.4864,
|
| 1070 |
+
"grad_norm": 4.9356184005737305,
|
| 1071 |
+
"learning_rate": 8.819896698854705e-05,
|
| 1072 |
+
"loss": 2.3356,
|
| 1073 |
+
"step": 1520
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.4896,
|
| 1077 |
+
"grad_norm": 5.09841775894165,
|
| 1078 |
+
"learning_rate": 8.808668313496519e-05,
|
| 1079 |
+
"loss": 2.3931,
|
| 1080 |
+
"step": 1530
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.4928,
|
| 1084 |
+
"grad_norm": 5.874563694000244,
|
| 1085 |
+
"learning_rate": 8.797439928138334e-05,
|
| 1086 |
+
"loss": 2.3976,
|
| 1087 |
+
"step": 1540
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.496,
|
| 1091 |
+
"grad_norm": 6.544667720794678,
|
| 1092 |
+
"learning_rate": 8.786211542780148e-05,
|
| 1093 |
+
"loss": 2.5013,
|
| 1094 |
+
"step": 1550
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.4992,
|
| 1098 |
+
"grad_norm": 7.496267795562744,
|
| 1099 |
+
"learning_rate": 8.774983157421963e-05,
|
| 1100 |
+
"loss": 2.4145,
|
| 1101 |
+
"step": 1560
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.5024,
|
| 1105 |
+
"grad_norm": 6.886484146118164,
|
| 1106 |
+
"learning_rate": 8.763754772063778e-05,
|
| 1107 |
+
"loss": 2.5783,
|
| 1108 |
+
"step": 1570
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.5056,
|
| 1112 |
+
"grad_norm": 5.7106547355651855,
|
| 1113 |
+
"learning_rate": 8.752526386705592e-05,
|
| 1114 |
+
"loss": 2.3237,
|
| 1115 |
+
"step": 1580
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.5088,
|
| 1119 |
+
"grad_norm": 4.9011125564575195,
|
| 1120 |
+
"learning_rate": 8.741298001347407e-05,
|
| 1121 |
+
"loss": 2.4852,
|
| 1122 |
+
"step": 1590
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.512,
|
| 1126 |
+
"grad_norm": 4.599292755126953,
|
| 1127 |
+
"learning_rate": 8.730069615989222e-05,
|
| 1128 |
+
"loss": 2.4273,
|
| 1129 |
+
"step": 1600
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.5152,
|
| 1133 |
+
"grad_norm": 5.276413440704346,
|
| 1134 |
+
"learning_rate": 8.718841230631036e-05,
|
| 1135 |
+
"loss": 2.3425,
|
| 1136 |
+
"step": 1610
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.5184,
|
| 1140 |
+
"grad_norm": 9.41219425201416,
|
| 1141 |
+
"learning_rate": 8.70761284527285e-05,
|
| 1142 |
+
"loss": 2.4555,
|
| 1143 |
+
"step": 1620
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.5216,
|
| 1147 |
+
"grad_norm": 8.96435260772705,
|
| 1148 |
+
"learning_rate": 8.696384459914664e-05,
|
| 1149 |
+
"loss": 2.3372,
|
| 1150 |
+
"step": 1630
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.5248,
|
| 1154 |
+
"grad_norm": 6.9553985595703125,
|
| 1155 |
+
"learning_rate": 8.68515607455648e-05,
|
| 1156 |
+
"loss": 2.5085,
|
| 1157 |
+
"step": 1640
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.528,
|
| 1161 |
+
"grad_norm": 5.708377838134766,
|
| 1162 |
+
"learning_rate": 8.673927689198293e-05,
|
| 1163 |
+
"loss": 2.4528,
|
| 1164 |
+
"step": 1650
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.5312,
|
| 1168 |
+
"grad_norm": 8.115442276000977,
|
| 1169 |
+
"learning_rate": 8.662699303840108e-05,
|
| 1170 |
+
"loss": 2.3779,
|
| 1171 |
+
"step": 1660
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.5344,
|
| 1175 |
+
"grad_norm": 4.635824680328369,
|
| 1176 |
+
"learning_rate": 8.651470918481923e-05,
|
| 1177 |
+
"loss": 2.2828,
|
| 1178 |
+
"step": 1670
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.5376,
|
| 1182 |
+
"grad_norm": 3.9847660064697266,
|
| 1183 |
+
"learning_rate": 8.640242533123737e-05,
|
| 1184 |
+
"loss": 2.4229,
|
| 1185 |
+
"step": 1680
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.5408,
|
| 1189 |
+
"grad_norm": 7.811954975128174,
|
| 1190 |
+
"learning_rate": 8.629014147765552e-05,
|
| 1191 |
+
"loss": 2.2189,
|
| 1192 |
+
"step": 1690
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.544,
|
| 1196 |
+
"grad_norm": 6.775632858276367,
|
| 1197 |
+
"learning_rate": 8.617785762407367e-05,
|
| 1198 |
+
"loss": 2.3237,
|
| 1199 |
+
"step": 1700
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.5472,
|
| 1203 |
+
"grad_norm": 9.999999046325684,
|
| 1204 |
+
"learning_rate": 8.606557377049181e-05,
|
| 1205 |
+
"loss": 2.4138,
|
| 1206 |
+
"step": 1710
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.5504,
|
| 1210 |
+
"grad_norm": 5.420886039733887,
|
| 1211 |
+
"learning_rate": 8.595328991690995e-05,
|
| 1212 |
+
"loss": 2.4619,
|
| 1213 |
+
"step": 1720
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.5536,
|
| 1217 |
+
"grad_norm": 5.865475177764893,
|
| 1218 |
+
"learning_rate": 8.58410060633281e-05,
|
| 1219 |
+
"loss": 2.4588,
|
| 1220 |
+
"step": 1730
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.5568,
|
| 1224 |
+
"grad_norm": 6.2092509269714355,
|
| 1225 |
+
"learning_rate": 8.572872220974623e-05,
|
| 1226 |
+
"loss": 2.4464,
|
| 1227 |
+
"step": 1740
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.56,
|
| 1231 |
+
"grad_norm": 7.776535511016846,
|
| 1232 |
+
"learning_rate": 8.561643835616438e-05,
|
| 1233 |
+
"loss": 2.4011,
|
| 1234 |
+
"step": 1750
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.5632,
|
| 1238 |
+
"grad_norm": 6.631662368774414,
|
| 1239 |
+
"learning_rate": 8.550415450258253e-05,
|
| 1240 |
+
"loss": 2.355,
|
| 1241 |
+
"step": 1760
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.5664,
|
| 1245 |
+
"grad_norm": 6.007630825042725,
|
| 1246 |
+
"learning_rate": 8.539187064900069e-05,
|
| 1247 |
+
"loss": 2.5012,
|
| 1248 |
+
"step": 1770
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.5696,
|
| 1252 |
+
"grad_norm": 9.999998092651367,
|
| 1253 |
+
"learning_rate": 8.527958679541882e-05,
|
| 1254 |
+
"loss": 2.5772,
|
| 1255 |
+
"step": 1780
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.5728,
|
| 1259 |
+
"grad_norm": 5.767541408538818,
|
| 1260 |
+
"learning_rate": 8.516730294183697e-05,
|
| 1261 |
+
"loss": 2.5464,
|
| 1262 |
+
"step": 1790
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.576,
|
| 1266 |
+
"grad_norm": 7.417142868041992,
|
| 1267 |
+
"learning_rate": 8.505501908825511e-05,
|
| 1268 |
+
"loss": 2.453,
|
| 1269 |
+
"step": 1800
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.5792,
|
| 1273 |
+
"grad_norm": 5.6994733810424805,
|
| 1274 |
+
"learning_rate": 8.494273523467325e-05,
|
| 1275 |
+
"loss": 2.5931,
|
| 1276 |
+
"step": 1810
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.5824,
|
| 1280 |
+
"grad_norm": 7.309426784515381,
|
| 1281 |
+
"learning_rate": 8.48304513810914e-05,
|
| 1282 |
+
"loss": 2.4631,
|
| 1283 |
+
"step": 1820
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.5856,
|
| 1287 |
+
"grad_norm": 5.572476863861084,
|
| 1288 |
+
"learning_rate": 8.471816752750955e-05,
|
| 1289 |
+
"loss": 2.5555,
|
| 1290 |
+
"step": 1830
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.5888,
|
| 1294 |
+
"grad_norm": 6.397329330444336,
|
| 1295 |
+
"learning_rate": 8.460588367392769e-05,
|
| 1296 |
+
"loss": 2.2597,
|
| 1297 |
+
"step": 1840
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.592,
|
| 1301 |
+
"grad_norm": 4.919052600860596,
|
| 1302 |
+
"learning_rate": 8.449359982034584e-05,
|
| 1303 |
+
"loss": 2.3108,
|
| 1304 |
+
"step": 1850
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.5952,
|
| 1308 |
+
"grad_norm": 8.084444999694824,
|
| 1309 |
+
"learning_rate": 8.438131596676399e-05,
|
| 1310 |
+
"loss": 2.3109,
|
| 1311 |
+
"step": 1860
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.5984,
|
| 1315 |
+
"grad_norm": 6.542473316192627,
|
| 1316 |
+
"learning_rate": 8.426903211318214e-05,
|
| 1317 |
+
"loss": 2.523,
|
| 1318 |
+
"step": 1870
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.6016,
|
| 1322 |
+
"grad_norm": 9.999998092651367,
|
| 1323 |
+
"learning_rate": 8.415674825960028e-05,
|
| 1324 |
+
"loss": 2.591,
|
| 1325 |
+
"step": 1880
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.6048,
|
| 1329 |
+
"grad_norm": 10.0,
|
| 1330 |
+
"learning_rate": 8.404446440601843e-05,
|
| 1331 |
+
"loss": 2.1992,
|
| 1332 |
+
"step": 1890
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.608,
|
| 1336 |
+
"grad_norm": 8.659969329833984,
|
| 1337 |
+
"learning_rate": 8.393218055243656e-05,
|
| 1338 |
+
"loss": 2.2673,
|
| 1339 |
+
"step": 1900
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.6112,
|
| 1343 |
+
"grad_norm": 6.26581335067749,
|
| 1344 |
+
"learning_rate": 8.38198966988547e-05,
|
| 1345 |
+
"loss": 2.2571,
|
| 1346 |
+
"step": 1910
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.6144,
|
| 1350 |
+
"grad_norm": 4.025020122528076,
|
| 1351 |
+
"learning_rate": 8.370761284527285e-05,
|
| 1352 |
+
"loss": 2.4292,
|
| 1353 |
+
"step": 1920
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.6176,
|
| 1357 |
+
"grad_norm": 8.125853538513184,
|
| 1358 |
+
"learning_rate": 8.3595328991691e-05,
|
| 1359 |
+
"loss": 2.4198,
|
| 1360 |
+
"step": 1930
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.6208,
|
| 1364 |
+
"grad_norm": 9.907950401306152,
|
| 1365 |
+
"learning_rate": 8.348304513810914e-05,
|
| 1366 |
+
"loss": 2.3154,
|
| 1367 |
+
"step": 1940
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.624,
|
| 1371 |
+
"grad_norm": 4.589335918426514,
|
| 1372 |
+
"learning_rate": 8.337076128452729e-05,
|
| 1373 |
+
"loss": 2.2819,
|
| 1374 |
+
"step": 1950
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.6272,
|
| 1378 |
+
"grad_norm": 3.842802047729492,
|
| 1379 |
+
"learning_rate": 8.325847743094544e-05,
|
| 1380 |
+
"loss": 2.2328,
|
| 1381 |
+
"step": 1960
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.6304,
|
| 1385 |
+
"grad_norm": 9.061366081237793,
|
| 1386 |
+
"learning_rate": 8.314619357736358e-05,
|
| 1387 |
+
"loss": 2.3952,
|
| 1388 |
+
"step": 1970
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.6336,
|
| 1392 |
+
"grad_norm": 3.815833330154419,
|
| 1393 |
+
"learning_rate": 8.303390972378173e-05,
|
| 1394 |
+
"loss": 2.4474,
|
| 1395 |
+
"step": 1980
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.6368,
|
| 1399 |
+
"grad_norm": 8.364211082458496,
|
| 1400 |
+
"learning_rate": 8.292162587019986e-05,
|
| 1401 |
+
"loss": 2.4021,
|
| 1402 |
+
"step": 1990
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.64,
|
| 1406 |
+
"grad_norm": 5.37713623046875,
|
| 1407 |
+
"learning_rate": 8.280934201661802e-05,
|
| 1408 |
+
"loss": 2.5195,
|
| 1409 |
+
"step": 2000
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.6432,
|
| 1413 |
+
"grad_norm": 8.178314208984375,
|
| 1414 |
+
"learning_rate": 8.269705816303615e-05,
|
| 1415 |
+
"loss": 2.3142,
|
| 1416 |
+
"step": 2010
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.6464,
|
| 1420 |
+
"grad_norm": 7.809556007385254,
|
| 1421 |
+
"learning_rate": 8.25847743094543e-05,
|
| 1422 |
+
"loss": 2.1985,
|
| 1423 |
+
"step": 2020
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.6496,
|
| 1427 |
+
"grad_norm": 9.732132911682129,
|
| 1428 |
+
"learning_rate": 8.247249045587245e-05,
|
| 1429 |
+
"loss": 2.2352,
|
| 1430 |
+
"step": 2030
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.6528,
|
| 1434 |
+
"grad_norm": 6.2440571784973145,
|
| 1435 |
+
"learning_rate": 8.236020660229059e-05,
|
| 1436 |
+
"loss": 2.1969,
|
| 1437 |
+
"step": 2040
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.656,
|
| 1441 |
+
"grad_norm": 5.272789478302002,
|
| 1442 |
+
"learning_rate": 8.224792274870874e-05,
|
| 1443 |
+
"loss": 2.3256,
|
| 1444 |
+
"step": 2050
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.6592,
|
| 1448 |
+
"grad_norm": 9.74461555480957,
|
| 1449 |
+
"learning_rate": 8.213563889512689e-05,
|
| 1450 |
+
"loss": 2.4389,
|
| 1451 |
+
"step": 2060
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.6624,
|
| 1455 |
+
"grad_norm": 4.720157146453857,
|
| 1456 |
+
"learning_rate": 8.202335504154503e-05,
|
| 1457 |
+
"loss": 2.4185,
|
| 1458 |
+
"step": 2070
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.6656,
|
| 1462 |
+
"grad_norm": 6.901200294494629,
|
| 1463 |
+
"learning_rate": 8.191107118796317e-05,
|
| 1464 |
+
"loss": 2.4403,
|
| 1465 |
+
"step": 2080
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.6688,
|
| 1469 |
+
"grad_norm": 6.6285624504089355,
|
| 1470 |
+
"learning_rate": 8.179878733438132e-05,
|
| 1471 |
+
"loss": 2.3017,
|
| 1472 |
+
"step": 2090
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.672,
|
| 1476 |
+
"grad_norm": 5.480203628540039,
|
| 1477 |
+
"learning_rate": 8.168650348079947e-05,
|
| 1478 |
+
"loss": 2.4988,
|
| 1479 |
+
"step": 2100
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.6752,
|
| 1483 |
+
"grad_norm": 6.834201335906982,
|
| 1484 |
+
"learning_rate": 8.15742196272176e-05,
|
| 1485 |
+
"loss": 2.355,
|
| 1486 |
+
"step": 2110
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.6784,
|
| 1490 |
+
"grad_norm": 5.478670120239258,
|
| 1491 |
+
"learning_rate": 8.146193577363576e-05,
|
| 1492 |
+
"loss": 2.5405,
|
| 1493 |
+
"step": 2120
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.6816,
|
| 1497 |
+
"grad_norm": 8.395478248596191,
|
| 1498 |
+
"learning_rate": 8.13496519200539e-05,
|
| 1499 |
+
"loss": 2.2928,
|
| 1500 |
+
"step": 2130
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.6848,
|
| 1504 |
+
"grad_norm": 7.398046016693115,
|
| 1505 |
+
"learning_rate": 8.123736806647204e-05,
|
| 1506 |
+
"loss": 2.2259,
|
| 1507 |
+
"step": 2140
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.688,
|
| 1511 |
+
"grad_norm": 8.656116485595703,
|
| 1512 |
+
"learning_rate": 8.11250842128902e-05,
|
| 1513 |
+
"loss": 2.2555,
|
| 1514 |
+
"step": 2150
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.6912,
|
| 1518 |
+
"grad_norm": 9.999999046325684,
|
| 1519 |
+
"learning_rate": 8.101280035930835e-05,
|
| 1520 |
+
"loss": 2.4798,
|
| 1521 |
+
"step": 2160
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.6944,
|
| 1525 |
+
"grad_norm": 4.557366847991943,
|
| 1526 |
+
"learning_rate": 8.090051650572648e-05,
|
| 1527 |
+
"loss": 2.5535,
|
| 1528 |
+
"step": 2170
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.6976,
|
| 1532 |
+
"grad_norm": 4.364936351776123,
|
| 1533 |
+
"learning_rate": 8.078823265214462e-05,
|
| 1534 |
+
"loss": 2.1993,
|
| 1535 |
+
"step": 2180
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.7008,
|
| 1539 |
+
"grad_norm": 6.322412014007568,
|
| 1540 |
+
"learning_rate": 8.067594879856277e-05,
|
| 1541 |
+
"loss": 2.3593,
|
| 1542 |
+
"step": 2190
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.704,
|
| 1546 |
+
"grad_norm": 6.9465789794921875,
|
| 1547 |
+
"learning_rate": 8.056366494498092e-05,
|
| 1548 |
+
"loss": 2.3772,
|
| 1549 |
+
"step": 2200
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.7072,
|
| 1553 |
+
"grad_norm": 6.708092212677002,
|
| 1554 |
+
"learning_rate": 8.045138109139906e-05,
|
| 1555 |
+
"loss": 2.332,
|
| 1556 |
+
"step": 2210
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.7104,
|
| 1560 |
+
"grad_norm": 5.4256768226623535,
|
| 1561 |
+
"learning_rate": 8.033909723781721e-05,
|
| 1562 |
+
"loss": 2.3298,
|
| 1563 |
+
"step": 2220
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.7136,
|
| 1567 |
+
"grad_norm": 4.8214850425720215,
|
| 1568 |
+
"learning_rate": 8.022681338423536e-05,
|
| 1569 |
+
"loss": 2.244,
|
| 1570 |
+
"step": 2230
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.7168,
|
| 1574 |
+
"grad_norm": 4.757294654846191,
|
| 1575 |
+
"learning_rate": 8.01145295306535e-05,
|
| 1576 |
+
"loss": 2.516,
|
| 1577 |
+
"step": 2240
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.72,
|
| 1581 |
+
"grad_norm": 8.969782829284668,
|
| 1582 |
+
"learning_rate": 8.000224567707165e-05,
|
| 1583 |
+
"loss": 2.5106,
|
| 1584 |
+
"step": 2250
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.7232,
|
| 1588 |
+
"grad_norm": 5.573437690734863,
|
| 1589 |
+
"learning_rate": 7.988996182348978e-05,
|
| 1590 |
+
"loss": 2.5074,
|
| 1591 |
+
"step": 2260
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.7264,
|
| 1595 |
+
"grad_norm": 6.883465766906738,
|
| 1596 |
+
"learning_rate": 7.977767796990792e-05,
|
| 1597 |
+
"loss": 2.2634,
|
| 1598 |
+
"step": 2270
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.7296,
|
| 1602 |
+
"grad_norm": 6.035622596740723,
|
| 1603 |
+
"learning_rate": 7.966539411632607e-05,
|
| 1604 |
+
"loss": 2.3059,
|
| 1605 |
+
"step": 2280
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.7328,
|
| 1609 |
+
"grad_norm": 6.905811309814453,
|
| 1610 |
+
"learning_rate": 7.955311026274422e-05,
|
| 1611 |
+
"loss": 2.3145,
|
| 1612 |
+
"step": 2290
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.736,
|
| 1616 |
+
"grad_norm": 6.611968517303467,
|
| 1617 |
+
"learning_rate": 7.944082640916236e-05,
|
| 1618 |
+
"loss": 2.3089,
|
| 1619 |
+
"step": 2300
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.7392,
|
| 1623 |
+
"grad_norm": 8.46692180633545,
|
| 1624 |
+
"learning_rate": 7.932854255558051e-05,
|
| 1625 |
+
"loss": 2.3344,
|
| 1626 |
+
"step": 2310
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.7424,
|
| 1630 |
+
"grad_norm": 7.151182174682617,
|
| 1631 |
+
"learning_rate": 7.921625870199866e-05,
|
| 1632 |
+
"loss": 2.2796,
|
| 1633 |
+
"step": 2320
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.7456,
|
| 1637 |
+
"grad_norm": 3.971759080886841,
|
| 1638 |
+
"learning_rate": 7.910397484841681e-05,
|
| 1639 |
+
"loss": 2.2586,
|
| 1640 |
+
"step": 2330
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.7488,
|
| 1644 |
+
"grad_norm": 6.936121940612793,
|
| 1645 |
+
"learning_rate": 7.899169099483495e-05,
|
| 1646 |
+
"loss": 2.2539,
|
| 1647 |
+
"step": 2340
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.752,
|
| 1651 |
+
"grad_norm": 4.994493007659912,
|
| 1652 |
+
"learning_rate": 7.887940714125309e-05,
|
| 1653 |
+
"loss": 2.1336,
|
| 1654 |
+
"step": 2350
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.7552,
|
| 1658 |
+
"grad_norm": 5.026124000549316,
|
| 1659 |
+
"learning_rate": 7.876712328767124e-05,
|
| 1660 |
+
"loss": 2.2772,
|
| 1661 |
+
"step": 2360
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.7584,
|
| 1665 |
+
"grad_norm": 8.548295974731445,
|
| 1666 |
+
"learning_rate": 7.865483943408937e-05,
|
| 1667 |
+
"loss": 2.2297,
|
| 1668 |
+
"step": 2370
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.7616,
|
| 1672 |
+
"grad_norm": 6.2121901512146,
|
| 1673 |
+
"learning_rate": 7.854255558050752e-05,
|
| 1674 |
+
"loss": 2.2928,
|
| 1675 |
+
"step": 2380
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.7648,
|
| 1679 |
+
"grad_norm": 6.6148810386657715,
|
| 1680 |
+
"learning_rate": 7.843027172692568e-05,
|
| 1681 |
+
"loss": 2.3334,
|
| 1682 |
+
"step": 2390
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.768,
|
| 1686 |
+
"grad_norm": 4.6633758544921875,
|
| 1687 |
+
"learning_rate": 7.831798787334381e-05,
|
| 1688 |
+
"loss": 2.4213,
|
| 1689 |
+
"step": 2400
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.7712,
|
| 1693 |
+
"grad_norm": 6.86946439743042,
|
| 1694 |
+
"learning_rate": 7.820570401976196e-05,
|
| 1695 |
+
"loss": 2.2479,
|
| 1696 |
+
"step": 2410
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.7744,
|
| 1700 |
+
"grad_norm": 7.258929252624512,
|
| 1701 |
+
"learning_rate": 7.809342016618011e-05,
|
| 1702 |
+
"loss": 2.1996,
|
| 1703 |
+
"step": 2420
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.7776,
|
| 1707 |
+
"grad_norm": 6.279372215270996,
|
| 1708 |
+
"learning_rate": 7.798113631259825e-05,
|
| 1709 |
+
"loss": 2.2665,
|
| 1710 |
+
"step": 2430
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.7808,
|
| 1714 |
+
"grad_norm": 8.62110710144043,
|
| 1715 |
+
"learning_rate": 7.78688524590164e-05,
|
| 1716 |
+
"loss": 2.4074,
|
| 1717 |
+
"step": 2440
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.784,
|
| 1721 |
+
"grad_norm": 10.000000953674316,
|
| 1722 |
+
"learning_rate": 7.775656860543454e-05,
|
| 1723 |
+
"loss": 3.6339,
|
| 1724 |
+
"step": 2450
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.7872,
|
| 1728 |
+
"grad_norm": 4.590153217315674,
|
| 1729 |
+
"learning_rate": 7.764428475185269e-05,
|
| 1730 |
+
"loss": 2.3271,
|
| 1731 |
+
"step": 2460
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.7904,
|
| 1735 |
+
"grad_norm": 5.067539691925049,
|
| 1736 |
+
"learning_rate": 7.753200089827083e-05,
|
| 1737 |
+
"loss": 2.2559,
|
| 1738 |
+
"step": 2470
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.7936,
|
| 1742 |
+
"grad_norm": 4.031103610992432,
|
| 1743 |
+
"learning_rate": 7.741971704468898e-05,
|
| 1744 |
+
"loss": 2.3426,
|
| 1745 |
+
"step": 2480
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.7968,
|
| 1749 |
+
"grad_norm": 8.196564674377441,
|
| 1750 |
+
"learning_rate": 7.730743319110713e-05,
|
| 1751 |
+
"loss": 2.1718,
|
| 1752 |
+
"step": 2490
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.8,
|
| 1756 |
+
"grad_norm": 4.67139196395874,
|
| 1757 |
+
"learning_rate": 7.719514933752526e-05,
|
| 1758 |
+
"loss": 2.5061,
|
| 1759 |
+
"step": 2500
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.8032,
|
| 1763 |
+
"grad_norm": 6.368116855621338,
|
| 1764 |
+
"learning_rate": 7.708286548394342e-05,
|
| 1765 |
+
"loss": 2.2068,
|
| 1766 |
+
"step": 2510
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.8064,
|
| 1770 |
+
"grad_norm": 8.849568367004395,
|
| 1771 |
+
"learning_rate": 7.697058163036157e-05,
|
| 1772 |
+
"loss": 2.3294,
|
| 1773 |
+
"step": 2520
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.8096,
|
| 1777 |
+
"grad_norm": 5.521136283874512,
|
| 1778 |
+
"learning_rate": 7.68582977767797e-05,
|
| 1779 |
+
"loss": 2.3293,
|
| 1780 |
+
"step": 2530
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.8128,
|
| 1784 |
+
"grad_norm": 7.696922302246094,
|
| 1785 |
+
"learning_rate": 7.674601392319784e-05,
|
| 1786 |
+
"loss": 2.3748,
|
| 1787 |
+
"step": 2540
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.816,
|
| 1791 |
+
"grad_norm": 7.695867538452148,
|
| 1792 |
+
"learning_rate": 7.663373006961599e-05,
|
| 1793 |
+
"loss": 2.0888,
|
| 1794 |
+
"step": 2550
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.8192,
|
| 1798 |
+
"grad_norm": 4.007026672363281,
|
| 1799 |
+
"learning_rate": 7.652144621603414e-05,
|
| 1800 |
+
"loss": 2.2417,
|
| 1801 |
+
"step": 2560
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.8224,
|
| 1805 |
+
"grad_norm": 5.373133659362793,
|
| 1806 |
+
"learning_rate": 7.640916236245228e-05,
|
| 1807 |
+
"loss": 2.397,
|
| 1808 |
+
"step": 2570
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.8256,
|
| 1812 |
+
"grad_norm": 7.045199871063232,
|
| 1813 |
+
"learning_rate": 7.629687850887043e-05,
|
| 1814 |
+
"loss": 2.3619,
|
| 1815 |
+
"step": 2580
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.8288,
|
| 1819 |
+
"grad_norm": 6.271018028259277,
|
| 1820 |
+
"learning_rate": 7.618459465528858e-05,
|
| 1821 |
+
"loss": 2.2644,
|
| 1822 |
+
"step": 2590
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.832,
|
| 1826 |
+
"grad_norm": 8.043970108032227,
|
| 1827 |
+
"learning_rate": 7.607231080170672e-05,
|
| 1828 |
+
"loss": 2.5374,
|
| 1829 |
+
"step": 2600
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.8352,
|
| 1833 |
+
"grad_norm": 6.158629894256592,
|
| 1834 |
+
"learning_rate": 7.596002694812487e-05,
|
| 1835 |
+
"loss": 2.2779,
|
| 1836 |
+
"step": 2610
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.8384,
|
| 1840 |
+
"grad_norm": 3.6692025661468506,
|
| 1841 |
+
"learning_rate": 7.5847743094543e-05,
|
| 1842 |
+
"loss": 2.2478,
|
| 1843 |
+
"step": 2620
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.8416,
|
| 1847 |
+
"grad_norm": 6.483317852020264,
|
| 1848 |
+
"learning_rate": 7.573545924096114e-05,
|
| 1849 |
+
"loss": 2.152,
|
| 1850 |
+
"step": 2630
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.8448,
|
| 1854 |
+
"grad_norm": 5.592394828796387,
|
| 1855 |
+
"learning_rate": 7.562317538737929e-05,
|
| 1856 |
+
"loss": 2.4605,
|
| 1857 |
+
"step": 2640
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.848,
|
| 1861 |
+
"grad_norm": 5.773263931274414,
|
| 1862 |
+
"learning_rate": 7.551089153379744e-05,
|
| 1863 |
+
"loss": 2.4734,
|
| 1864 |
+
"step": 2650
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.8512,
|
| 1868 |
+
"grad_norm": 5.897200584411621,
|
| 1869 |
+
"learning_rate": 7.53986076802156e-05,
|
| 1870 |
+
"loss": 2.2845,
|
| 1871 |
+
"step": 2660
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.8544,
|
| 1875 |
+
"grad_norm": 6.476402759552002,
|
| 1876 |
+
"learning_rate": 7.528632382663373e-05,
|
| 1877 |
+
"loss": 2.1883,
|
| 1878 |
+
"step": 2670
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.8576,
|
| 1882 |
+
"grad_norm": 5.920806884765625,
|
| 1883 |
+
"learning_rate": 7.517403997305188e-05,
|
| 1884 |
+
"loss": 2.4448,
|
| 1885 |
+
"step": 2680
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.8608,
|
| 1889 |
+
"grad_norm": 4.258580207824707,
|
| 1890 |
+
"learning_rate": 7.506175611947003e-05,
|
| 1891 |
+
"loss": 2.1579,
|
| 1892 |
+
"step": 2690
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.864,
|
| 1896 |
+
"grad_norm": 4.463003635406494,
|
| 1897 |
+
"learning_rate": 7.494947226588817e-05,
|
| 1898 |
+
"loss": 2.2095,
|
| 1899 |
+
"step": 2700
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.8672,
|
| 1903 |
+
"grad_norm": 8.6676607131958,
|
| 1904 |
+
"learning_rate": 7.483718841230631e-05,
|
| 1905 |
+
"loss": 2.3664,
|
| 1906 |
+
"step": 2710
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.8704,
|
| 1910 |
+
"grad_norm": 8.912688255310059,
|
| 1911 |
+
"learning_rate": 7.472490455872446e-05,
|
| 1912 |
+
"loss": 2.4029,
|
| 1913 |
+
"step": 2720
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.8736,
|
| 1917 |
+
"grad_norm": 6.20881986618042,
|
| 1918 |
+
"learning_rate": 7.46126207051426e-05,
|
| 1919 |
+
"loss": 2.2843,
|
| 1920 |
+
"step": 2730
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.8768,
|
| 1924 |
+
"grad_norm": 7.998341083526611,
|
| 1925 |
+
"learning_rate": 7.450033685156075e-05,
|
| 1926 |
+
"loss": 2.2651,
|
| 1927 |
+
"step": 2740
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.88,
|
| 1931 |
+
"grad_norm": 9.811906814575195,
|
| 1932 |
+
"learning_rate": 7.43880529979789e-05,
|
| 1933 |
+
"loss": 2.3149,
|
| 1934 |
+
"step": 2750
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.8832,
|
| 1938 |
+
"grad_norm": 8.817770957946777,
|
| 1939 |
+
"learning_rate": 7.427576914439703e-05,
|
| 1940 |
+
"loss": 2.4565,
|
| 1941 |
+
"step": 2760
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.8864,
|
| 1945 |
+
"grad_norm": 4.727315902709961,
|
| 1946 |
+
"learning_rate": 7.416348529081518e-05,
|
| 1947 |
+
"loss": 2.2516,
|
| 1948 |
+
"step": 2770
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.8896,
|
| 1952 |
+
"grad_norm": 6.4811859130859375,
|
| 1953 |
+
"learning_rate": 7.405120143723333e-05,
|
| 1954 |
+
"loss": 2.0967,
|
| 1955 |
+
"step": 2780
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.8928,
|
| 1959 |
+
"grad_norm": 9.999999046325684,
|
| 1960 |
+
"learning_rate": 7.393891758365149e-05,
|
| 1961 |
+
"loss": 2.3187,
|
| 1962 |
+
"step": 2790
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.896,
|
| 1966 |
+
"grad_norm": 9.609201431274414,
|
| 1967 |
+
"learning_rate": 7.382663373006962e-05,
|
| 1968 |
+
"loss": 2.2366,
|
| 1969 |
+
"step": 2800
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.8992,
|
| 1973 |
+
"grad_norm": 6.191689968109131,
|
| 1974 |
+
"learning_rate": 7.371434987648776e-05,
|
| 1975 |
+
"loss": 2.2946,
|
| 1976 |
+
"step": 2810
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.9024,
|
| 1980 |
+
"grad_norm": 9.036121368408203,
|
| 1981 |
+
"learning_rate": 7.360206602290591e-05,
|
| 1982 |
+
"loss": 2.2624,
|
| 1983 |
+
"step": 2820
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.9056,
|
| 1987 |
+
"grad_norm": 3.915534257888794,
|
| 1988 |
+
"learning_rate": 7.348978216932405e-05,
|
| 1989 |
+
"loss": 2.4489,
|
| 1990 |
+
"step": 2830
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.9088,
|
| 1994 |
+
"grad_norm": 7.408352851867676,
|
| 1995 |
+
"learning_rate": 7.33774983157422e-05,
|
| 1996 |
+
"loss": 2.1291,
|
| 1997 |
+
"step": 2840
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.912,
|
| 2001 |
+
"grad_norm": 8.331685066223145,
|
| 2002 |
+
"learning_rate": 7.326521446216035e-05,
|
| 2003 |
+
"loss": 2.322,
|
| 2004 |
+
"step": 2850
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.9152,
|
| 2008 |
+
"grad_norm": 5.713507175445557,
|
| 2009 |
+
"learning_rate": 7.315293060857849e-05,
|
| 2010 |
+
"loss": 2.4402,
|
| 2011 |
+
"step": 2860
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.9184,
|
| 2015 |
+
"grad_norm": 5.220091342926025,
|
| 2016 |
+
"learning_rate": 7.304064675499664e-05,
|
| 2017 |
+
"loss": 2.1427,
|
| 2018 |
+
"step": 2870
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.9216,
|
| 2022 |
+
"grad_norm": 5.63717794418335,
|
| 2023 |
+
"learning_rate": 7.292836290141479e-05,
|
| 2024 |
+
"loss": 2.2149,
|
| 2025 |
+
"step": 2880
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.9248,
|
| 2029 |
+
"grad_norm": 8.326608657836914,
|
| 2030 |
+
"learning_rate": 7.281607904783292e-05,
|
| 2031 |
+
"loss": 2.4356,
|
| 2032 |
+
"step": 2890
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.928,
|
| 2036 |
+
"grad_norm": 6.667220592498779,
|
| 2037 |
+
"learning_rate": 7.270379519425106e-05,
|
| 2038 |
+
"loss": 2.1894,
|
| 2039 |
+
"step": 2900
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.9312,
|
| 2043 |
+
"grad_norm": 7.291802883148193,
|
| 2044 |
+
"learning_rate": 7.259151134066921e-05,
|
| 2045 |
+
"loss": 2.2346,
|
| 2046 |
+
"step": 2910
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.9344,
|
| 2050 |
+
"grad_norm": 5.355696678161621,
|
| 2051 |
+
"learning_rate": 7.247922748708736e-05,
|
| 2052 |
+
"loss": 2.3652,
|
| 2053 |
+
"step": 2920
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.9376,
|
| 2057 |
+
"grad_norm": 7.320453643798828,
|
| 2058 |
+
"learning_rate": 7.23669436335055e-05,
|
| 2059 |
+
"loss": 2.1491,
|
| 2060 |
+
"step": 2930
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.9408,
|
| 2064 |
+
"grad_norm": 6.482708930969238,
|
| 2065 |
+
"learning_rate": 7.225465977992365e-05,
|
| 2066 |
+
"loss": 2.1797,
|
| 2067 |
+
"step": 2940
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.944,
|
| 2071 |
+
"grad_norm": 8.68603515625,
|
| 2072 |
+
"learning_rate": 7.21423759263418e-05,
|
| 2073 |
+
"loss": 2.186,
|
| 2074 |
+
"step": 2950
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.9472,
|
| 2078 |
+
"grad_norm": 7.641050815582275,
|
| 2079 |
+
"learning_rate": 7.203009207275994e-05,
|
| 2080 |
+
"loss": 2.2185,
|
| 2081 |
+
"step": 2960
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.9504,
|
| 2085 |
+
"grad_norm": 7.222169876098633,
|
| 2086 |
+
"learning_rate": 7.191780821917809e-05,
|
| 2087 |
+
"loss": 2.3927,
|
| 2088 |
+
"step": 2970
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.9536,
|
| 2092 |
+
"grad_norm": 4.246700763702393,
|
| 2093 |
+
"learning_rate": 7.180552436559623e-05,
|
| 2094 |
+
"loss": 2.3365,
|
| 2095 |
+
"step": 2980
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.9568,
|
| 2099 |
+
"grad_norm": 6.096432685852051,
|
| 2100 |
+
"learning_rate": 7.169324051201438e-05,
|
| 2101 |
+
"loss": 2.1232,
|
| 2102 |
+
"step": 2990
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.96,
|
| 2106 |
+
"grad_norm": 5.851985454559326,
|
| 2107 |
+
"learning_rate": 7.158095665843251e-05,
|
| 2108 |
+
"loss": 2.2176,
|
| 2109 |
+
"step": 3000
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.9632,
|
| 2113 |
+
"grad_norm": 7.797232627868652,
|
| 2114 |
+
"learning_rate": 7.146867280485066e-05,
|
| 2115 |
+
"loss": 2.4043,
|
| 2116 |
+
"step": 3010
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.9664,
|
| 2120 |
+
"grad_norm": 5.3702521324157715,
|
| 2121 |
+
"learning_rate": 7.135638895126882e-05,
|
| 2122 |
+
"loss": 2.2836,
|
| 2123 |
+
"step": 3020
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.9696,
|
| 2127 |
+
"grad_norm": 8.7493257522583,
|
| 2128 |
+
"learning_rate": 7.124410509768695e-05,
|
| 2129 |
+
"loss": 2.2188,
|
| 2130 |
+
"step": 3030
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.9728,
|
| 2134 |
+
"grad_norm": 10.0,
|
| 2135 |
+
"learning_rate": 7.11318212441051e-05,
|
| 2136 |
+
"loss": 2.3706,
|
| 2137 |
+
"step": 3040
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.976,
|
| 2141 |
+
"grad_norm": 8.834953308105469,
|
| 2142 |
+
"learning_rate": 7.101953739052325e-05,
|
| 2143 |
+
"loss": 2.442,
|
| 2144 |
+
"step": 3050
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 0.9792,
|
| 2148 |
+
"grad_norm": 7.613494873046875,
|
| 2149 |
+
"learning_rate": 7.090725353694139e-05,
|
| 2150 |
+
"loss": 2.3874,
|
| 2151 |
+
"step": 3060
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 0.9824,
|
| 2155 |
+
"grad_norm": 5.66098165512085,
|
| 2156 |
+
"learning_rate": 7.079496968335954e-05,
|
| 2157 |
+
"loss": 2.1254,
|
| 2158 |
+
"step": 3070
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.9856,
|
| 2162 |
+
"grad_norm": 8.746124267578125,
|
| 2163 |
+
"learning_rate": 7.068268582977768e-05,
|
| 2164 |
+
"loss": 2.2545,
|
| 2165 |
+
"step": 3080
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.9888,
|
| 2169 |
+
"grad_norm": 9.96347713470459,
|
| 2170 |
+
"learning_rate": 7.057040197619582e-05,
|
| 2171 |
+
"loss": 2.1841,
|
| 2172 |
+
"step": 3090
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.992,
|
| 2176 |
+
"grad_norm": 8.428536415100098,
|
| 2177 |
+
"learning_rate": 7.045811812261397e-05,
|
| 2178 |
+
"loss": 2.3754,
|
| 2179 |
+
"step": 3100
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.9952,
|
| 2183 |
+
"grad_norm": 6.405836582183838,
|
| 2184 |
+
"learning_rate": 7.034583426903212e-05,
|
| 2185 |
+
"loss": 2.2303,
|
| 2186 |
+
"step": 3110
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.9984,
|
| 2190 |
+
"grad_norm": 7.094132423400879,
|
| 2191 |
+
"learning_rate": 7.023355041545027e-05,
|
| 2192 |
+
"loss": 2.1851,
|
| 2193 |
+
"step": 3120
|
| 2194 |
+
}
|
| 2195 |
+
],
|
| 2196 |
+
"logging_steps": 10,
|
| 2197 |
+
"max_steps": 9375,
|
| 2198 |
+
"num_input_tokens_seen": 0,
|
| 2199 |
+
"num_train_epochs": 3,
|
| 2200 |
+
"save_steps": 500,
|
| 2201 |
+
"stateful_callbacks": {
|
| 2202 |
+
"TrainerControl": {
|
| 2203 |
+
"args": {
|
| 2204 |
+
"should_epoch_stop": false,
|
| 2205 |
+
"should_evaluate": false,
|
| 2206 |
+
"should_log": false,
|
| 2207 |
+
"should_save": true,
|
| 2208 |
+
"should_training_stop": false
|
| 2209 |
+
},
|
| 2210 |
+
"attributes": {}
|
| 2211 |
+
}
|
| 2212 |
+
},
|
| 2213 |
+
"total_flos": 0.0,
|
| 2214 |
+
"train_batch_size": 32,
|
| 2215 |
+
"trial_name": null,
|
| 2216 |
+
"trial_params": null
|
| 2217 |
+
}
|
checkpoint-3125/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de0dfe1c7042d6c0f1df2bd5079ed1e70733df6289a28a73c7d47650ee78f2bc
|
| 3 |
+
size 5304
|
checkpoint-3125/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-6250/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: gpt2-medium
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
checkpoint-6250/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "GPT2LMHeadModel",
|
| 5 |
+
"parent_library": "transformers.models.gpt2.modeling_gpt2"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "gpt2-medium",
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": true,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 128,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 64,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"c_attn"
|
| 27 |
+
],
|
| 28 |
+
"task_type": null,
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
checkpoint-6250/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6034fd92a3c52a9ec20b5670571bb736284c8ea3eba04613684b80b85276b1f1
|
| 3 |
+
size 25172088
|
checkpoint-6250/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-6250/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:243a1376a9402f428f0327a2037909f9f5dda56dfde0c1271b61e5f71ecfbb46
|
| 3 |
+
size 50372538
|
checkpoint-6250/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c120d48de72cdb78154eb3ff34dcb662bf117dd1d28d6bd0d82dd6f4212161a
|
| 3 |
+
size 14244
|
checkpoint-6250/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:54bf5bc35983da2516a319daa8db116d3e18d36fcecad8a541a6fed01b6c2f20
|
| 3 |
+
size 1064
|
checkpoint-6250/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|endoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|endoftext|>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<|endoftext|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": true,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-6250/tokenizer_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"50256": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
}
|
| 13 |
+
},
|
| 14 |
+
"bos_token": "<|endoftext|>",
|
| 15 |
+
"clean_up_tokenization_spaces": false,
|
| 16 |
+
"eos_token": "<|endoftext|>",
|
| 17 |
+
"errors": "replace",
|
| 18 |
+
"model_max_length": 1024,
|
| 19 |
+
"pad_token": "<|endoftext|>",
|
| 20 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 21 |
+
"unk_token": "<|endoftext|>"
|
| 22 |
+
}
|
checkpoint-6250/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-6250/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de0dfe1c7042d6c0f1df2bd5079ed1e70733df6289a28a73c7d47650ee78f2bc
|
| 3 |
+
size 5304
|
checkpoint-6250/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-9375/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: gpt2-medium
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
checkpoint-9375/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "GPT2LMHeadModel",
|
| 5 |
+
"parent_library": "transformers.models.gpt2.modeling_gpt2"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "gpt2-medium",
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": true,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 128,
|
| 17 |
+
"lora_dropout": 0.0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 64,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"c_attn"
|
| 27 |
+
],
|
| 28 |
+
"task_type": null,
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
checkpoint-9375/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e080b6018d76cf35e380d38c6d986e6242e3d34fb8b0e94622e054c202fb2587
|
| 3 |
+
size 25172088
|
checkpoint-9375/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-9375/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5f0e8d012cfc8a35e8edf37ebbd4584056ea26ca8c1da275db85833f14af208
|
| 3 |
+
size 50372538
|
checkpoint-9375/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45a17cbacf815f7540ba86fc4db7056edcdc3201a531803e9244208a01c54025
|
| 3 |
+
size 14244
|
checkpoint-9375/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a17c6f8f90b7492d85e3ccb69e5e19d7c97f2aa89c2af5ae7acd1722212a18fd
|
| 3 |
+
size 1064
|
checkpoint-9375/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|endoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|endoftext|>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<|endoftext|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": true,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-9375/tokenizer_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"50256": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
}
|
| 13 |
+
},
|
| 14 |
+
"bos_token": "<|endoftext|>",
|
| 15 |
+
"clean_up_tokenization_spaces": false,
|
| 16 |
+
"eos_token": "<|endoftext|>",
|
| 17 |
+
"errors": "replace",
|
| 18 |
+
"model_max_length": 1024,
|
| 19 |
+
"pad_token": "<|endoftext|>",
|
| 20 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 21 |
+
"unk_token": "<|endoftext|>"
|
| 22 |
+
}
|
checkpoint-9375/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-9375/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de0dfe1c7042d6c0f1df2bd5079ed1e70733df6289a28a73c7d47650ee78f2bc
|
| 3 |
+
size 5304
|
checkpoint-9375/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "gpt2-medium",
|
| 3 |
+
"activation_function": "gelu_new",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"GPT2LMHeadModel"
|
| 6 |
+
],
|
| 7 |
+
"attn_pdrop": 0.1,
|
| 8 |
+
"bos_token_id": 50256,
|
| 9 |
+
"embd_pdrop": 0.1,
|
| 10 |
+
"eos_token_id": 50256,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"layer_norm_epsilon": 1e-05,
|
| 13 |
+
"model_type": "gpt2",
|
| 14 |
+
"n_ctx": 1024,
|
| 15 |
+
"n_embd": 1024,
|
| 16 |
+
"n_head": 16,
|
| 17 |
+
"n_inner": null,
|
| 18 |
+
"n_layer": 24,
|
| 19 |
+
"n_positions": 1024,
|
| 20 |
+
"n_special": 0,
|
| 21 |
+
"predict_special_tokens": true,
|
| 22 |
+
"reorder_and_upcast_attn": false,
|
| 23 |
+
"resid_pdrop": 0.1,
|
| 24 |
+
"scale_attn_by_inverse_layer_idx": false,
|
| 25 |
+
"scale_attn_weights": true,
|
| 26 |
+
"summary_activation": null,
|
| 27 |
+
"summary_first_dropout": 0.1,
|
| 28 |
+
"summary_proj_to_labels": true,
|
| 29 |
+
"summary_type": "cls_index",
|
| 30 |
+
"summary_use_proj": true,
|
| 31 |
+
"task_specific_params": {
|
| 32 |
+
"text-generation": {
|
| 33 |
+
"do_sample": true,
|
| 34 |
+
"max_length": 50
|
| 35 |
+
}
|
| 36 |
+
},
|
| 37 |
+
"transformers_version": "4.45.2",
|
| 38 |
+
"use_cache": true,
|
| 39 |
+
"vocab_size": 50257
|
| 40 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|endoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|endoftext|>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<|endoftext|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": true,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"50256": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
}
|
| 13 |
+
},
|
| 14 |
+
"bos_token": "<|endoftext|>",
|
| 15 |
+
"clean_up_tokenization_spaces": false,
|
| 16 |
+
"eos_token": "<|endoftext|>",
|
| 17 |
+
"errors": "replace",
|
| 18 |
+
"model_max_length": 1024,
|
| 19 |
+
"pad_token": "<|endoftext|>",
|
| 20 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 21 |
+
"unk_token": "<|endoftext|>"
|
| 22 |
+
}
|
training_logs.csv
ADDED
|
@@ -0,0 +1,939 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
step,training_loss,grad_norm
|
| 2 |
+
10,28.3701,10.0
|
| 3 |
+
20,24.5207,10.0
|
| 4 |
+
30,22.6885,10.0
|
| 5 |
+
40,25.2666,10.0
|
| 6 |
+
50,23.0791,10.0
|
| 7 |
+
60,23.3554,9.999999046325684
|
| 8 |
+
70,23.0232,10.000000953674316
|
| 9 |
+
80,21.8077,10.0
|
| 10 |
+
90,20.0271,9.999999046325684
|
| 11 |
+
100,17.0629,9.999999046325684
|
| 12 |
+
110,18.8398,9.999999046325684
|
| 13 |
+
120,15.8197,9.999998092651367
|
| 14 |
+
130,14.2088,9.999998092651367
|
| 15 |
+
140,14.0394,10.0
|
| 16 |
+
150,14.3635,10.0
|
| 17 |
+
160,11.0378,10.0
|
| 18 |
+
170,10.8982,9.999999046325684
|
| 19 |
+
180,9.9566,9.999998092651367
|
| 20 |
+
190,10.2806,9.999999046325684
|
| 21 |
+
200,9.8932,9.999999046325684
|
| 22 |
+
210,8.1511,10.0
|
| 23 |
+
220,8.07,9.999998092651367
|
| 24 |
+
230,8.0589,9.999999046325684
|
| 25 |
+
240,6.8857,9.999998092651367
|
| 26 |
+
250,6.7318,9.999999046325684
|
| 27 |
+
260,7.0872,10.0
|
| 28 |
+
270,6.5861,9.999999046325684
|
| 29 |
+
280,6.3828,10.0
|
| 30 |
+
290,6.0198,10.0
|
| 31 |
+
300,6.2239,9.999999046325684
|
| 32 |
+
310,5.7589,9.999999046325684
|
| 33 |
+
320,5.4196,9.999998092651367
|
| 34 |
+
330,5.6412,9.999999046325684
|
| 35 |
+
340,5.2791,10.0
|
| 36 |
+
350,5.5189,10.0
|
| 37 |
+
360,5.0969,10.0
|
| 38 |
+
370,5.2089,9.999999046325684
|
| 39 |
+
380,6.2735,9.999999046325684
|
| 40 |
+
390,5.1972,9.999999046325684
|
| 41 |
+
400,4.791,9.999998092651367
|
| 42 |
+
410,5.139,10.0
|
| 43 |
+
420,5.1234,9.999998092651367
|
| 44 |
+
430,4.763,9.726828575134277
|
| 45 |
+
440,5.0725,10.0
|
| 46 |
+
450,4.708,10.0
|
| 47 |
+
460,4.3924,9.999999046325684
|
| 48 |
+
470,4.3606,8.861834526062012
|
| 49 |
+
480,4.2736,9.999999046325684
|
| 50 |
+
490,4.5541,9.999999046325684
|
| 51 |
+
500,4.3459,8.72944450378418
|
| 52 |
+
510,4.0927,9.999999046325684
|
| 53 |
+
520,4.1877,9.396402359008789
|
| 54 |
+
530,3.9887,6.486421585083008
|
| 55 |
+
540,4.1643,9.999999046325684
|
| 56 |
+
550,4.0236,8.012758255004883
|
| 57 |
+
560,3.9494,9.999999046325684
|
| 58 |
+
570,3.7742,9.999998092651367
|
| 59 |
+
580,3.817,9.999999046325684
|
| 60 |
+
590,3.8002,10.0
|
| 61 |
+
600,3.5841,9.999998092651367
|
| 62 |
+
610,3.7045,9.999998092651367
|
| 63 |
+
620,3.3623,9.999999046325684
|
| 64 |
+
630,3.3953,9.999998092651367
|
| 65 |
+
640,3.5513,7.71815824508667
|
| 66 |
+
650,3.3845,7.819033145904541
|
| 67 |
+
660,3.2571,9.44756031036377
|
| 68 |
+
670,3.1949,5.626587390899658
|
| 69 |
+
680,3.05,9.968693733215332
|
| 70 |
+
690,3.378,9.028199195861816
|
| 71 |
+
700,3.2383,9.999999046325684
|
| 72 |
+
710,3.2572,10.0
|
| 73 |
+
720,3.2422,9.906242370605469
|
| 74 |
+
730,3.199,7.099668025970459
|
| 75 |
+
740,2.9136,6.1059136390686035
|
| 76 |
+
750,3.0956,8.184073448181152
|
| 77 |
+
760,2.9784,7.790270805358887
|
| 78 |
+
770,3.042,9.385482788085938
|
| 79 |
+
780,3.0201,9.105142593383789
|
| 80 |
+
790,2.8601,9.999999046325684
|
| 81 |
+
800,3.0558,9.999999046325684
|
| 82 |
+
810,2.9531,7.617279052734375
|
| 83 |
+
820,2.9163,7.272448539733887
|
| 84 |
+
830,3.0416,10.0
|
| 85 |
+
840,3.0136,6.786662578582764
|
| 86 |
+
850,2.8705,6.918086051940918
|
| 87 |
+
860,2.9016,9.991483688354492
|
| 88 |
+
870,2.7265,6.9515581130981445
|
| 89 |
+
880,2.8442,8.731250762939453
|
| 90 |
+
890,2.7234,7.565758228302002
|
| 91 |
+
900,3.0467,7.732306003570557
|
| 92 |
+
910,2.9938,9.999999046325684
|
| 93 |
+
920,2.7438,7.414172649383545
|
| 94 |
+
930,2.8815,8.1228609085083
|
| 95 |
+
940,2.6688,6.716073513031006
|
| 96 |
+
950,2.7251,5.223897933959961
|
| 97 |
+
960,2.5746,7.797822952270508
|
| 98 |
+
970,2.6461,6.63670539855957
|
| 99 |
+
980,2.7993,10.0
|
| 100 |
+
990,2.7401,7.738500595092773
|
| 101 |
+
1000,2.6068,8.710482597351074
|
| 102 |
+
1010,2.6246,6.2432684898376465
|
| 103 |
+
1020,2.7303,7.530930519104004
|
| 104 |
+
1030,2.7558,9.89444637298584
|
| 105 |
+
1040,2.8216,9.999998092651367
|
| 106 |
+
1050,2.81,5.699310302734375
|
| 107 |
+
1060,2.797,9.999999046325684
|
| 108 |
+
1070,2.6244,5.669271469116211
|
| 109 |
+
1080,2.7266,9.576983451843262
|
| 110 |
+
1090,2.8692,5.313910007476807
|
| 111 |
+
1100,2.6439,8.139154434204102
|
| 112 |
+
1110,2.6079,6.6432600021362305
|
| 113 |
+
1120,2.7581,9.999999046325684
|
| 114 |
+
1130,2.6304,4.576703071594238
|
| 115 |
+
1140,2.5335,5.5572285652160645
|
| 116 |
+
1150,2.4998,7.863306045532227
|
| 117 |
+
1160,2.6284,8.850831031799316
|
| 118 |
+
1170,2.6882,6.468632221221924
|
| 119 |
+
1180,2.4775,5.677201271057129
|
| 120 |
+
1190,2.7046,4.348922252655029
|
| 121 |
+
1200,2.5728,7.337803363800049
|
| 122 |
+
1210,2.5674,9.881601333618164
|
| 123 |
+
1220,2.545,7.198265552520752
|
| 124 |
+
1230,2.7013,4.9246907234191895
|
| 125 |
+
1240,2.5742,5.395358085632324
|
| 126 |
+
1250,2.6272,6.851541042327881
|
| 127 |
+
1260,2.5673,6.056896209716797
|
| 128 |
+
1270,2.8856,6.445649147033691
|
| 129 |
+
1280,2.6714,7.691575527191162
|
| 130 |
+
1290,2.6481,5.955436706542969
|
| 131 |
+
1300,2.5761,9.62521743774414
|
| 132 |
+
1310,2.5133,4.644749641418457
|
| 133 |
+
1320,2.4743,4.176416397094727
|
| 134 |
+
1330,2.5556,6.192687511444092
|
| 135 |
+
1340,2.4436,4.459692001342773
|
| 136 |
+
1350,2.4914,6.155325412750244
|
| 137 |
+
1360,2.4705,4.706230163574219
|
| 138 |
+
1370,2.4537,6.316796779632568
|
| 139 |
+
1380,2.3581,7.529996395111084
|
| 140 |
+
1390,2.4923,7.215747356414795
|
| 141 |
+
1400,2.423,6.232388973236084
|
| 142 |
+
1410,2.567,4.451657772064209
|
| 143 |
+
1420,2.4042,5.643525123596191
|
| 144 |
+
1430,2.4591,9.999999046325684
|
| 145 |
+
1440,2.5524,7.8325514793396
|
| 146 |
+
1450,2.4915,7.601844310760498
|
| 147 |
+
1460,2.5315,10.0
|
| 148 |
+
1470,2.4169,5.353204250335693
|
| 149 |
+
1480,2.4273,9.473418235778809
|
| 150 |
+
1490,2.6286,9.468120574951172
|
| 151 |
+
1500,2.6011,5.575021743774414
|
| 152 |
+
1510,2.3283,7.234686374664307
|
| 153 |
+
1520,2.3356,4.9356184005737305
|
| 154 |
+
1530,2.3931,5.09841775894165
|
| 155 |
+
1540,2.3976,5.874563694000244
|
| 156 |
+
1550,2.5013,6.544667720794678
|
| 157 |
+
1560,2.4145,7.496267795562744
|
| 158 |
+
1570,2.5783,6.886484146118164
|
| 159 |
+
1580,2.3237,5.7106547355651855
|
| 160 |
+
1590,2.4852,4.9011125564575195
|
| 161 |
+
1600,2.4273,4.599292755126953
|
| 162 |
+
1610,2.3425,5.276413440704346
|
| 163 |
+
1620,2.4555,9.41219425201416
|
| 164 |
+
1630,2.3372,8.96435260772705
|
| 165 |
+
1640,2.5085,6.9553985595703125
|
| 166 |
+
1650,2.4528,5.708377838134766
|
| 167 |
+
1660,2.3779,8.115442276000977
|
| 168 |
+
1670,2.2828,4.635824680328369
|
| 169 |
+
1680,2.4229,3.9847660064697266
|
| 170 |
+
1690,2.2189,7.811954975128174
|
| 171 |
+
1700,2.3237,6.775632858276367
|
| 172 |
+
1710,2.4138,9.999999046325684
|
| 173 |
+
1720,2.4619,5.420886039733887
|
| 174 |
+
1730,2.4588,5.865475177764893
|
| 175 |
+
1740,2.4464,6.2092509269714355
|
| 176 |
+
1750,2.4011,7.776535511016846
|
| 177 |
+
1760,2.355,6.631662368774414
|
| 178 |
+
1770,2.5012,6.007630825042725
|
| 179 |
+
1780,2.5772,9.999998092651367
|
| 180 |
+
1790,2.5464,5.767541408538818
|
| 181 |
+
1800,2.453,7.417142868041992
|
| 182 |
+
1810,2.5931,5.6994733810424805
|
| 183 |
+
1820,2.4631,7.309426784515381
|
| 184 |
+
1830,2.5555,5.572476863861084
|
| 185 |
+
1840,2.2597,6.397329330444336
|
| 186 |
+
1850,2.3108,4.919052600860596
|
| 187 |
+
1860,2.3109,8.084444999694824
|
| 188 |
+
1870,2.523,6.542473316192627
|
| 189 |
+
1880,2.591,9.999998092651367
|
| 190 |
+
1890,2.1992,10.0
|
| 191 |
+
1900,2.2673,8.659969329833984
|
| 192 |
+
1910,2.2571,6.26581335067749
|
| 193 |
+
1920,2.4292,4.025020122528076
|
| 194 |
+
1930,2.4198,8.125853538513184
|
| 195 |
+
1940,2.3154,9.907950401306152
|
| 196 |
+
1950,2.2819,4.589335918426514
|
| 197 |
+
1960,2.2328,3.842802047729492
|
| 198 |
+
1970,2.3952,9.061366081237793
|
| 199 |
+
1980,2.4474,3.815833330154419
|
| 200 |
+
1990,2.4021,8.364211082458496
|
| 201 |
+
2000,2.5195,5.37713623046875
|
| 202 |
+
2010,2.3142,8.178314208984375
|
| 203 |
+
2020,2.1985,7.809556007385254
|
| 204 |
+
2030,2.2352,9.732132911682129
|
| 205 |
+
2040,2.1969,6.2440571784973145
|
| 206 |
+
2050,2.3256,5.272789478302002
|
| 207 |
+
2060,2.4389,9.74461555480957
|
| 208 |
+
2070,2.4185,4.720157146453857
|
| 209 |
+
2080,2.4403,6.901200294494629
|
| 210 |
+
2090,2.3017,6.6285624504089355
|
| 211 |
+
2100,2.4988,5.480203628540039
|
| 212 |
+
2110,2.355,6.834201335906982
|
| 213 |
+
2120,2.5405,5.478670120239258
|
| 214 |
+
2130,2.2928,8.395478248596191
|
| 215 |
+
2140,2.2259,7.398046016693115
|
| 216 |
+
2150,2.2555,8.656116485595703
|
| 217 |
+
2160,2.4798,9.999999046325684
|
| 218 |
+
2170,2.5535,4.557366847991943
|
| 219 |
+
2180,2.1993,4.364936351776123
|
| 220 |
+
2190,2.3593,6.322412014007568
|
| 221 |
+
2200,2.3772,6.9465789794921875
|
| 222 |
+
2210,2.332,6.708092212677002
|
| 223 |
+
2220,2.3298,5.4256768226623535
|
| 224 |
+
2230,2.244,4.8214850425720215
|
| 225 |
+
2240,2.516,4.757294654846191
|
| 226 |
+
2250,2.5106,8.969782829284668
|
| 227 |
+
2260,2.5074,5.573437690734863
|
| 228 |
+
2270,2.2634,6.883465766906738
|
| 229 |
+
2280,2.3059,6.035622596740723
|
| 230 |
+
2290,2.3145,6.905811309814453
|
| 231 |
+
2300,2.3089,6.611968517303467
|
| 232 |
+
2310,2.3344,8.46692180633545
|
| 233 |
+
2320,2.2796,7.151182174682617
|
| 234 |
+
2330,2.2586,3.971759080886841
|
| 235 |
+
2340,2.2539,6.936121940612793
|
| 236 |
+
2350,2.1336,4.994493007659912
|
| 237 |
+
2360,2.2772,5.026124000549316
|
| 238 |
+
2370,2.2297,8.548295974731445
|
| 239 |
+
2380,2.2928,6.2121901512146
|
| 240 |
+
2390,2.3334,6.6148810386657715
|
| 241 |
+
2400,2.4213,4.6633758544921875
|
| 242 |
+
2410,2.2479,6.86946439743042
|
| 243 |
+
2420,2.1996,7.258929252624512
|
| 244 |
+
2430,2.2665,6.279372215270996
|
| 245 |
+
2440,2.4074,8.62110710144043
|
| 246 |
+
2450,3.6339,10.000000953674316
|
| 247 |
+
2460,2.3271,4.590153217315674
|
| 248 |
+
2470,2.2559,5.067539691925049
|
| 249 |
+
2480,2.3426,4.031103610992432
|
| 250 |
+
2490,2.1718,8.196564674377441
|
| 251 |
+
2500,2.5061,4.67139196395874
|
| 252 |
+
2510,2.2068,6.368116855621338
|
| 253 |
+
2520,2.3294,8.849568367004395
|
| 254 |
+
2530,2.3293,5.521136283874512
|
| 255 |
+
2540,2.3748,7.696922302246094
|
| 256 |
+
2550,2.0888,7.695867538452148
|
| 257 |
+
2560,2.2417,4.007026672363281
|
| 258 |
+
2570,2.397,5.373133659362793
|
| 259 |
+
2580,2.3619,7.045199871063232
|
| 260 |
+
2590,2.2644,6.271018028259277
|
| 261 |
+
2600,2.5374,8.043970108032227
|
| 262 |
+
2610,2.2779,6.158629894256592
|
| 263 |
+
2620,2.2478,3.6692025661468506
|
| 264 |
+
2630,2.152,6.483317852020264
|
| 265 |
+
2640,2.4605,5.592394828796387
|
| 266 |
+
2650,2.4734,5.773263931274414
|
| 267 |
+
2660,2.2845,5.897200584411621
|
| 268 |
+
2670,2.1883,6.476402759552002
|
| 269 |
+
2680,2.4448,5.920806884765625
|
| 270 |
+
2690,2.1579,4.258580207824707
|
| 271 |
+
2700,2.2095,4.463003635406494
|
| 272 |
+
2710,2.3664,8.6676607131958
|
| 273 |
+
2720,2.4029,8.912688255310059
|
| 274 |
+
2730,2.2843,6.20881986618042
|
| 275 |
+
2740,2.2651,7.998341083526611
|
| 276 |
+
2750,2.3149,9.811906814575195
|
| 277 |
+
2760,2.4565,8.817770957946777
|
| 278 |
+
2770,2.2516,4.727315902709961
|
| 279 |
+
2780,2.0967,6.4811859130859375
|
| 280 |
+
2790,2.3187,9.999999046325684
|
| 281 |
+
2800,2.2366,9.609201431274414
|
| 282 |
+
2810,2.2946,6.191689968109131
|
| 283 |
+
2820,2.2624,9.036121368408203
|
| 284 |
+
2830,2.4489,3.915534257888794
|
| 285 |
+
2840,2.1291,7.408352851867676
|
| 286 |
+
2850,2.322,8.331685066223145
|
| 287 |
+
2860,2.4402,5.713507175445557
|
| 288 |
+
2870,2.1427,5.220091342926025
|
| 289 |
+
2880,2.2149,5.63717794418335
|
| 290 |
+
2890,2.4356,8.326608657836914
|
| 291 |
+
2900,2.1894,6.667220592498779
|
| 292 |
+
2910,2.2346,7.291802883148193
|
| 293 |
+
2920,2.3652,5.355696678161621
|
| 294 |
+
2930,2.1491,7.320453643798828
|
| 295 |
+
2940,2.1797,6.482708930969238
|
| 296 |
+
2950,2.186,8.68603515625
|
| 297 |
+
2960,2.2185,7.641050815582275
|
| 298 |
+
2970,2.3927,7.222169876098633
|
| 299 |
+
2980,2.3365,4.246700763702393
|
| 300 |
+
2990,2.1232,6.096432685852051
|
| 301 |
+
3000,2.2176,5.851985454559326
|
| 302 |
+
3010,2.4043,7.797232627868652
|
| 303 |
+
3020,2.2836,5.3702521324157715
|
| 304 |
+
3030,2.2188,8.7493257522583
|
| 305 |
+
3040,2.3706,10.0
|
| 306 |
+
3050,2.442,8.834953308105469
|
| 307 |
+
3060,2.3874,7.613494873046875
|
| 308 |
+
3070,2.1254,5.66098165512085
|
| 309 |
+
3080,2.2545,8.746124267578125
|
| 310 |
+
3090,2.1841,9.96347713470459
|
| 311 |
+
3100,2.3754,8.428536415100098
|
| 312 |
+
3110,2.2303,6.405836582183838
|
| 313 |
+
3120,2.1851,7.094132423400879
|
| 314 |
+
3130,2.2898,5.770329475402832
|
| 315 |
+
3140,2.3988,4.412771701812744
|
| 316 |
+
3150,2.35,9.633313179016113
|
| 317 |
+
3160,2.1658,7.720678806304932
|
| 318 |
+
3170,2.1582,7.196460723876953
|
| 319 |
+
3180,2.3164,3.8286609649658203
|
| 320 |
+
3190,2.2672,7.099523067474365
|
| 321 |
+
3200,2.2812,6.283836364746094
|
| 322 |
+
3210,2.1724,4.959673881530762
|
| 323 |
+
3220,2.159,9.999998092651367
|
| 324 |
+
3230,2.3596,4.327045440673828
|
| 325 |
+
3240,2.3693,7.3624653816223145
|
| 326 |
+
3250,2.3983,8.922405242919922
|
| 327 |
+
3260,2.1969,6.19892692565918
|
| 328 |
+
3270,2.2934,6.3894524574279785
|
| 329 |
+
3280,2.2858,7.240560054779053
|
| 330 |
+
3290,2.2498,6.6486992835998535
|
| 331 |
+
3300,2.2005,7.461024761199951
|
| 332 |
+
3310,2.2171,9.999999046325684
|
| 333 |
+
3320,2.0921,6.346460342407227
|
| 334 |
+
3330,2.2411,6.42893648147583
|
| 335 |
+
3340,2.0989,5.788027286529541
|
| 336 |
+
3350,2.3168,9.999999046325684
|
| 337 |
+
3360,2.2532,5.730334758758545
|
| 338 |
+
3370,2.1161,7.052060127258301
|
| 339 |
+
3380,2.2371,4.694394588470459
|
| 340 |
+
3390,2.5154,6.626163482666016
|
| 341 |
+
3400,2.1627,7.122054576873779
|
| 342 |
+
3410,2.072,6.109677791595459
|
| 343 |
+
3420,2.354,7.214818000793457
|
| 344 |
+
3430,2.3704,9.6759672164917
|
| 345 |
+
3440,2.3059,4.210315227508545
|
| 346 |
+
3450,2.3811,6.809922218322754
|
| 347 |
+
3460,2.4183,5.466648578643799
|
| 348 |
+
3470,2.2508,8.649759292602539
|
| 349 |
+
3480,2.1897,4.219826698303223
|
| 350 |
+
3490,2.1246,6.436397552490234
|
| 351 |
+
3500,2.5233,9.999999046325684
|
| 352 |
+
3510,2.3533,10.0
|
| 353 |
+
3520,2.2338,3.651031732559204
|
| 354 |
+
3530,2.2797,5.527792453765869
|
| 355 |
+
3540,2.1877,4.227158546447754
|
| 356 |
+
3550,2.1618,6.878480434417725
|
| 357 |
+
3560,2.1245,5.831515789031982
|
| 358 |
+
3570,2.1778,3.441094160079956
|
| 359 |
+
3580,1.9831,7.330443382263184
|
| 360 |
+
3590,2.1796,8.98618221282959
|
| 361 |
+
3600,2.3529,4.757387638092041
|
| 362 |
+
3610,2.3361,3.5186734199523926
|
| 363 |
+
3620,2.1439,6.991964340209961
|
| 364 |
+
3630,2.1227,6.133205413818359
|
| 365 |
+
3640,2.2649,4.490849018096924
|
| 366 |
+
3650,2.2646,6.143466949462891
|
| 367 |
+
3660,2.2631,4.09475040435791
|
| 368 |
+
3670,2.2013,9.874448776245117
|
| 369 |
+
3680,2.2698,7.732521057128906
|
| 370 |
+
3690,2.1787,5.697376251220703
|
| 371 |
+
3700,2.1337,6.074872970581055
|
| 372 |
+
3710,2.1082,7.495859622955322
|
| 373 |
+
3720,2.2119,5.88323450088501
|
| 374 |
+
3730,2.1251,4.20490837097168
|
| 375 |
+
3740,2.3263,7.4095540046691895
|
| 376 |
+
3750,2.0824,5.438231468200684
|
| 377 |
+
3760,2.37,7.119965553283691
|
| 378 |
+
3770,2.3092,4.426470756530762
|
| 379 |
+
3780,2.1568,5.602468490600586
|
| 380 |
+
3790,2.0438,4.94999361038208
|
| 381 |
+
3800,2.2386,6.560863494873047
|
| 382 |
+
3810,3.1694,9.445927619934082
|
| 383 |
+
3820,2.2535,6.8221564292907715
|
| 384 |
+
3830,2.1744,6.22130012512207
|
| 385 |
+
3840,2.5386,5.471611499786377
|
| 386 |
+
3850,2.1352,3.5220141410827637
|
| 387 |
+
3860,2.2617,6.965565204620361
|
| 388 |
+
3870,2.1913,5.471559047698975
|
| 389 |
+
3880,2.2588,7.852587699890137
|
| 390 |
+
3890,2.1421,3.5346343517303467
|
| 391 |
+
3900,2.3086,8.021695137023926
|
| 392 |
+
3910,2.1955,5.215954780578613
|
| 393 |
+
3920,2.0465,6.547055244445801
|
| 394 |
+
3930,2.2372,8.973469734191895
|
| 395 |
+
3940,2.2969,8.85340404510498
|
| 396 |
+
3950,2.1088,8.8905029296875
|
| 397 |
+
3960,2.2229,3.574281930923462
|
| 398 |
+
3970,2.0212,6.460089683532715
|
| 399 |
+
3980,2.2653,6.969429969787598
|
| 400 |
+
3990,2.2088,6.06675386428833
|
| 401 |
+
4000,2.1276,9.980952262878418
|
| 402 |
+
4010,2.2661,5.178830146789551
|
| 403 |
+
4020,2.1305,9.019587516784668
|
| 404 |
+
4030,2.1621,6.0943074226379395
|
| 405 |
+
4040,2.0759,3.6441543102264404
|
| 406 |
+
4050,2.1728,4.56536865234375
|
| 407 |
+
4060,2.1825,4.460301876068115
|
| 408 |
+
4070,2.2135,4.983593940734863
|
| 409 |
+
4080,2.3566,6.907173156738281
|
| 410 |
+
4090,2.2541,5.130218982696533
|
| 411 |
+
4100,1.9409,4.747898578643799
|
| 412 |
+
4110,2.2585,4.745423793792725
|
| 413 |
+
4120,2.0822,6.524007320404053
|
| 414 |
+
4130,2.0697,8.787076950073242
|
| 415 |
+
4140,2.1111,3.5528957843780518
|
| 416 |
+
4150,2.1446,5.02815580368042
|
| 417 |
+
4160,2.0923,3.4902503490448
|
| 418 |
+
4170,2.291,4.021839141845703
|
| 419 |
+
4180,2.1877,5.555225372314453
|
| 420 |
+
4190,2.0687,6.962709426879883
|
| 421 |
+
4200,2.3351,10.0
|
| 422 |
+
4210,2.2501,4.848272800445557
|
| 423 |
+
4220,2.1061,5.333714962005615
|
| 424 |
+
4230,2.1438,6.211556434631348
|
| 425 |
+
4240,2.1886,8.62783145904541
|
| 426 |
+
4250,2.2546,7.506083965301514
|
| 427 |
+
4260,2.3712,5.266780376434326
|
| 428 |
+
4270,2.1088,9.855100631713867
|
| 429 |
+
4280,2.347,3.677947759628296
|
| 430 |
+
4290,2.2568,7.6731276512146
|
| 431 |
+
4300,2.0683,5.236011505126953
|
| 432 |
+
4310,2.1171,6.686437606811523
|
| 433 |
+
4320,2.2386,10.0
|
| 434 |
+
4330,2.1134,4.5010986328125
|
| 435 |
+
4340,2.4407,3.935786724090576
|
| 436 |
+
4350,2.2234,6.398930072784424
|
| 437 |
+
4360,2.1862,8.995603561401367
|
| 438 |
+
4370,2.1446,8.50732421875
|
| 439 |
+
4380,2.1897,8.399739265441895
|
| 440 |
+
4390,2.1621,9.738068580627441
|
| 441 |
+
4400,2.2949,7.87959098815918
|
| 442 |
+
4410,2.0071,6.368355751037598
|
| 443 |
+
4420,2.2448,5.002744197845459
|
| 444 |
+
4430,2.3409,4.510824203491211
|
| 445 |
+
4440,2.1176,6.529369831085205
|
| 446 |
+
4450,2.0862,9.94469165802002
|
| 447 |
+
4460,2.4251,5.885842323303223
|
| 448 |
+
4470,1.9864,6.890707492828369
|
| 449 |
+
4480,2.1435,4.47102689743042
|
| 450 |
+
4490,2.0326,4.225493431091309
|
| 451 |
+
4500,2.1564,4.37125825881958
|
| 452 |
+
4510,2.0743,8.290303230285645
|
| 453 |
+
4520,2.2523,5.776940822601318
|
| 454 |
+
4530,2.1078,4.822579383850098
|
| 455 |
+
4540,2.0797,5.790931224822998
|
| 456 |
+
4550,2.1237,5.75389289855957
|
| 457 |
+
4560,2.2125,7.504802227020264
|
| 458 |
+
4570,2.1611,4.340479850769043
|
| 459 |
+
4580,2.2023,8.178547859191895
|
| 460 |
+
4590,2.1268,9.241583824157715
|
| 461 |
+
4600,2.1976,4.36149263381958
|
| 462 |
+
4610,2.1717,9.999999046325684
|
| 463 |
+
4620,1.9805,5.395240306854248
|
| 464 |
+
4630,2.2378,5.555797576904297
|
| 465 |
+
4640,2.1956,5.219169616699219
|
| 466 |
+
4650,2.0657,9.0369234085083
|
| 467 |
+
4660,1.9879,7.064931392669678
|
| 468 |
+
4670,2.2089,6.1723809242248535
|
| 469 |
+
4680,2.1378,9.340553283691406
|
| 470 |
+
4690,2.0892,7.710911750793457
|
| 471 |
+
4700,2.421,8.593657493591309
|
| 472 |
+
4710,2.0054,3.763519763946533
|
| 473 |
+
4720,2.2029,5.541579723358154
|
| 474 |
+
4730,2.0555,4.48792839050293
|
| 475 |
+
4740,2.1252,4.694746494293213
|
| 476 |
+
4750,2.2292,3.626134157180786
|
| 477 |
+
4760,2.138,7.184067249298096
|
| 478 |
+
4770,2.2403,5.250986576080322
|
| 479 |
+
4780,2.1862,6.30639123916626
|
| 480 |
+
4790,2.1111,5.524565696716309
|
| 481 |
+
4800,2.1711,4.2406697273254395
|
| 482 |
+
4810,2.057,4.823990821838379
|
| 483 |
+
4820,2.0207,6.957513809204102
|
| 484 |
+
4830,2.222,5.449457168579102
|
| 485 |
+
4840,2.2214,4.320427894592285
|
| 486 |
+
4850,2.2,4.92500638961792
|
| 487 |
+
4860,2.0129,4.991371154785156
|
| 488 |
+
4870,2.2163,6.521137237548828
|
| 489 |
+
4880,2.0385,7.385705947875977
|
| 490 |
+
4890,2.1222,8.725979804992676
|
| 491 |
+
4900,2.0741,4.52073335647583
|
| 492 |
+
4910,2.1543,6.499835014343262
|
| 493 |
+
4920,2.2229,7.410144329071045
|
| 494 |
+
4930,2.1517,4.372899055480957
|
| 495 |
+
4940,2.1163,3.7120919227600098
|
| 496 |
+
4950,2.1247,7.357861518859863
|
| 497 |
+
4960,2.1781,6.083400726318359
|
| 498 |
+
4970,1.9974,6.298897743225098
|
| 499 |
+
4980,2.1545,6.194458484649658
|
| 500 |
+
4990,2.1107,5.1978278160095215
|
| 501 |
+
5000,2.3348,4.76450777053833
|
| 502 |
+
5010,2.0502,4.51431131362915
|
| 503 |
+
5020,2.1568,6.624210834503174
|
| 504 |
+
5030,2.0227,5.511273384094238
|
| 505 |
+
5040,2.1213,3.3496336936950684
|
| 506 |
+
5050,2.1931,7.776872158050537
|
| 507 |
+
5060,2.1976,6.206504821777344
|
| 508 |
+
5070,2.2875,9.433921813964844
|
| 509 |
+
5080,2.2109,5.77447509765625
|
| 510 |
+
5090,2.1561,3.713836193084717
|
| 511 |
+
5100,2.1125,3.5686769485473633
|
| 512 |
+
5110,2.2041,7.770430564880371
|
| 513 |
+
5120,2.1188,5.841362953186035
|
| 514 |
+
5130,2.0692,3.36885142326355
|
| 515 |
+
5140,2.0279,7.515949249267578
|
| 516 |
+
5150,2.0905,4.221615314483643
|
| 517 |
+
5160,2.1089,6.048422336578369
|
| 518 |
+
5170,2.2271,5.11595344543457
|
| 519 |
+
5180,2.1604,5.2255449295043945
|
| 520 |
+
5190,2.0856,5.745364189147949
|
| 521 |
+
5200,2.1981,4.490666389465332
|
| 522 |
+
5210,2.0797,5.564126968383789
|
| 523 |
+
5220,2.163,5.2047247886657715
|
| 524 |
+
5230,2.2305,8.44140625
|
| 525 |
+
5240,2.1215,8.154293060302734
|
| 526 |
+
5250,2.1661,5.150942802429199
|
| 527 |
+
5260,2.2111,6.649692058563232
|
| 528 |
+
5270,2.0773,8.254748344421387
|
| 529 |
+
5280,2.101,2.958098888397217
|
| 530 |
+
5290,2.4461,7.841224670410156
|
| 531 |
+
5300,2.1184,3.867351531982422
|
| 532 |
+
5310,2.2102,9.999999046325684
|
| 533 |
+
5320,2.1324,5.966880798339844
|
| 534 |
+
5330,2.2293,5.331724643707275
|
| 535 |
+
5340,2.044,5.222733497619629
|
| 536 |
+
5350,2.1925,3.4903883934020996
|
| 537 |
+
5360,2.1628,9.891901969909668
|
| 538 |
+
5370,2.2044,3.6791141033172607
|
| 539 |
+
5380,2.0421,3.284372091293335
|
| 540 |
+
5390,2.0564,2.7818946838378906
|
| 541 |
+
5400,2.1152,9.54232406616211
|
| 542 |
+
5410,2.1527,6.284071445465088
|
| 543 |
+
5420,2.0515,4.312674045562744
|
| 544 |
+
5430,2.2114,4.142785549163818
|
| 545 |
+
5440,2.2083,7.880631446838379
|
| 546 |
+
5450,2.2029,4.2559709548950195
|
| 547 |
+
5460,2.2198,6.414773941040039
|
| 548 |
+
5470,1.9202,4.784211158752441
|
| 549 |
+
5480,2.2925,8.340254783630371
|
| 550 |
+
5490,2.1257,3.7721922397613525
|
| 551 |
+
5500,2.1088,5.6239776611328125
|
| 552 |
+
5510,2.1422,6.1071295738220215
|
| 553 |
+
5520,2.0904,8.268501281738281
|
| 554 |
+
5530,2.2511,8.720447540283203
|
| 555 |
+
5540,2.1065,9.763360023498535
|
| 556 |
+
5550,2.0478,9.336665153503418
|
| 557 |
+
5560,2.07,9.999999046325684
|
| 558 |
+
5570,2.0205,5.811784744262695
|
| 559 |
+
5580,2.1649,8.127388000488281
|
| 560 |
+
5590,2.1256,5.085277080535889
|
| 561 |
+
5600,2.1498,5.166441440582275
|
| 562 |
+
5610,2.1661,6.641541481018066
|
| 563 |
+
5620,2.2342,3.5791046619415283
|
| 564 |
+
5630,2.136,4.0631279945373535
|
| 565 |
+
5640,2.4784,4.964014530181885
|
| 566 |
+
5650,2.3117,7.552999019622803
|
| 567 |
+
5660,2.1387,4.7818284034729
|
| 568 |
+
5670,2.1771,7.117303848266602
|
| 569 |
+
5680,1.9511,6.260792255401611
|
| 570 |
+
5690,2.3494,6.069239139556885
|
| 571 |
+
5700,2.037,3.6275076866149902
|
| 572 |
+
5710,2.1981,5.257174491882324
|
| 573 |
+
5720,2.1808,9.999999046325684
|
| 574 |
+
5730,2.1297,6.373122215270996
|
| 575 |
+
5740,2.1768,6.5584940910339355
|
| 576 |
+
5750,2.0283,8.723784446716309
|
| 577 |
+
5760,2.2787,5.2506537437438965
|
| 578 |
+
5770,2.0738,6.952129364013672
|
| 579 |
+
5780,1.9776,7.82886266708374
|
| 580 |
+
5790,2.137,8.772919654846191
|
| 581 |
+
5800,2.3822,4.685011386871338
|
| 582 |
+
5810,2.2003,6.074718952178955
|
| 583 |
+
5820,1.978,6.719532489776611
|
| 584 |
+
5830,2.0413,6.288917064666748
|
| 585 |
+
5840,2.0542,3.5031559467315674
|
| 586 |
+
5850,2.1693,7.236006259918213
|
| 587 |
+
5860,2.2759,5.247088432312012
|
| 588 |
+
5870,2.1932,4.443241596221924
|
| 589 |
+
5880,2.2292,3.587862968444824
|
| 590 |
+
5890,1.9304,2.6182422637939453
|
| 591 |
+
5900,2.1348,3.457829713821411
|
| 592 |
+
5910,2.0977,4.102409839630127
|
| 593 |
+
5920,2.171,6.1073994636535645
|
| 594 |
+
5930,2.1105,4.545835494995117
|
| 595 |
+
5940,2.0686,6.679617881774902
|
| 596 |
+
5950,2.1866,8.60380744934082
|
| 597 |
+
5960,2.1823,5.819077014923096
|
| 598 |
+
5970,2.1523,3.7871108055114746
|
| 599 |
+
5980,2.2493,5.970479965209961
|
| 600 |
+
5990,4.3472,10.0
|
| 601 |
+
6000,2.2363,8.660836219787598
|
| 602 |
+
6010,2.1017,7.8099894523620605
|
| 603 |
+
6020,2.1996,5.9949445724487305
|
| 604 |
+
6030,2.1646,6.623493671417236
|
| 605 |
+
6040,2.1039,7.280769348144531
|
| 606 |
+
6050,2.1895,5.2272257804870605
|
| 607 |
+
6060,2.1616,6.899860858917236
|
| 608 |
+
6070,2.1634,7.497065544128418
|
| 609 |
+
6080,2.0569,4.0999956130981445
|
| 610 |
+
6090,2.1319,3.794092893600464
|
| 611 |
+
6100,2.1621,5.509084224700928
|
| 612 |
+
6110,2.2731,6.076055526733398
|
| 613 |
+
6120,1.9689,3.3105826377868652
|
| 614 |
+
6130,2.1141,5.338077068328857
|
| 615 |
+
6140,1.9314,5.527437210083008
|
| 616 |
+
6150,2.0693,3.655165195465088
|
| 617 |
+
6160,2.0442,9.39285659790039
|
| 618 |
+
6170,2.3283,8.24338150024414
|
| 619 |
+
6180,2.1328,4.415241718292236
|
| 620 |
+
6190,2.0253,5.860321044921875
|
| 621 |
+
6200,2.0622,5.472553253173828
|
| 622 |
+
6210,1.9528,4.431563854217529
|
| 623 |
+
6220,2.0531,7.67194938659668
|
| 624 |
+
6230,2.0059,3.6711692810058594
|
| 625 |
+
6240,2.032,4.1530890464782715
|
| 626 |
+
6250,2.0153,4.8354926109313965
|
| 627 |
+
6260,2.0774,4.306488037109375
|
| 628 |
+
6270,2.0359,4.352275371551514
|
| 629 |
+
6280,2.029,7.978499889373779
|
| 630 |
+
6290,2.0506,6.480661869049072
|
| 631 |
+
6300,2.0744,3.58092999458313
|
| 632 |
+
6310,2.1674,5.924591064453125
|
| 633 |
+
6320,2.1415,6.986868381500244
|
| 634 |
+
6330,2.119,4.46516752243042
|
| 635 |
+
6340,2.0115,5.372344493865967
|
| 636 |
+
6350,2.0578,5.572484970092773
|
| 637 |
+
6360,2.2153,4.962610244750977
|
| 638 |
+
6370,2.0666,4.404867649078369
|
| 639 |
+
6380,2.2205,4.287213325500488
|
| 640 |
+
6390,2.0955,7.050772666931152
|
| 641 |
+
6400,2.1016,6.098924160003662
|
| 642 |
+
6410,2.2017,6.557415962219238
|
| 643 |
+
6420,2.0959,6.623813152313232
|
| 644 |
+
6430,2.16,6.275115966796875
|
| 645 |
+
6440,2.063,5.501457214355469
|
| 646 |
+
6450,1.9966,3.797224760055542
|
| 647 |
+
6460,2.1951,9.272015571594238
|
| 648 |
+
6470,1.997,3.943631172180176
|
| 649 |
+
6480,2.2323,7.709688663482666
|
| 650 |
+
6490,2.2165,8.620623588562012
|
| 651 |
+
6500,2.177,4.471000671386719
|
| 652 |
+
6510,2.1923,4.813187122344971
|
| 653 |
+
6520,2.2597,4.149843692779541
|
| 654 |
+
6530,2.0405,4.905725002288818
|
| 655 |
+
6540,2.2226,6.384262561798096
|
| 656 |
+
6550,2.0731,7.396153450012207
|
| 657 |
+
6560,2.049,4.137185096740723
|
| 658 |
+
6570,2.1183,5.075475215911865
|
| 659 |
+
6580,2.1061,5.995041370391846
|
| 660 |
+
6590,1.9933,8.12357234954834
|
| 661 |
+
6600,2.1183,4.065415382385254
|
| 662 |
+
6610,1.9599,3.1915132999420166
|
| 663 |
+
6620,2.0938,6.77773380279541
|
| 664 |
+
6630,2.079,5.450401306152344
|
| 665 |
+
6640,2.1767,4.6854963302612305
|
| 666 |
+
6650,2.0163,6.384552955627441
|
| 667 |
+
6660,2.1001,4.87563419342041
|
| 668 |
+
6670,2.0417,3.775580406188965
|
| 669 |
+
6680,2.1564,4.963315486907959
|
| 670 |
+
6690,2.1124,7.423795223236084
|
| 671 |
+
6700,2.0786,5.808844089508057
|
| 672 |
+
6710,2.1347,4.398837089538574
|
| 673 |
+
6720,1.9574,9.142531394958496
|
| 674 |
+
6730,2.0017,5.84624719619751
|
| 675 |
+
6740,1.959,7.081725597381592
|
| 676 |
+
6750,2.0554,4.674961566925049
|
| 677 |
+
6760,2.0301,6.768802642822266
|
| 678 |
+
6770,2.092,3.5873348712921143
|
| 679 |
+
6780,1.9953,4.120325088500977
|
| 680 |
+
6790,2.0688,7.765623569488525
|
| 681 |
+
6800,2.219,4.869895935058594
|
| 682 |
+
6810,2.1398,5.694615840911865
|
| 683 |
+
6820,2.0682,7.104328632354736
|
| 684 |
+
6830,2.052,5.0297932624816895
|
| 685 |
+
6840,2.211,4.520491123199463
|
| 686 |
+
6850,1.9884,3.5239853858947754
|
| 687 |
+
6860,2.1121,7.16238260269165
|
| 688 |
+
6870,2.1276,4.042484760284424
|
| 689 |
+
6880,2.0987,4.16971492767334
|
| 690 |
+
6890,2.3154,7.618093013763428
|
| 691 |
+
6900,2.1601,5.255606174468994
|
| 692 |
+
6910,1.9644,4.716766834259033
|
| 693 |
+
6920,1.9962,4.157872676849365
|
| 694 |
+
6930,2.1439,6.823659896850586
|
| 695 |
+
6940,1.9356,5.478399753570557
|
| 696 |
+
6950,2.1821,4.689790725708008
|
| 697 |
+
6960,2.0843,5.204911231994629
|
| 698 |
+
6970,2.0767,6.285693168640137
|
| 699 |
+
6980,2.1958,8.708101272583008
|
| 700 |
+
6990,2.1266,6.604062080383301
|
| 701 |
+
7000,2.2054,5.105891704559326
|
| 702 |
+
7010,1.9358,5.714686393737793
|
| 703 |
+
7020,2.076,3.433338165283203
|
| 704 |
+
7030,2.0635,4.48581600189209
|
| 705 |
+
7040,2.1363,5.338774681091309
|
| 706 |
+
7050,1.9187,7.590831279754639
|
| 707 |
+
7060,2.1299,5.141582489013672
|
| 708 |
+
7070,2.1819,5.08326530456543
|
| 709 |
+
7080,2.1374,5.986049175262451
|
| 710 |
+
7090,1.9291,4.5929999351501465
|
| 711 |
+
7100,2.0773,3.4489879608154297
|
| 712 |
+
7110,2.0115,4.485833168029785
|
| 713 |
+
7120,2.0676,6.017434120178223
|
| 714 |
+
7130,2.0369,6.2123332023620605
|
| 715 |
+
7140,2.0942,3.7782444953918457
|
| 716 |
+
7150,2.1302,7.148087024688721
|
| 717 |
+
7160,2.1838,5.7953362464904785
|
| 718 |
+
7170,2.0159,3.9319803714752197
|
| 719 |
+
7180,1.9249,4.671140193939209
|
| 720 |
+
7190,2.0409,4.661734104156494
|
| 721 |
+
7200,2.1667,7.39704704284668
|
| 722 |
+
7210,2.1305,8.355154037475586
|
| 723 |
+
7220,2.1391,5.1650285720825195
|
| 724 |
+
7230,2.0748,6.877825736999512
|
| 725 |
+
7240,2.0812,4.656685829162598
|
| 726 |
+
7250,2.0358,5.901729106903076
|
| 727 |
+
7260,2.1514,6.996543884277344
|
| 728 |
+
7270,2.0404,4.831353187561035
|
| 729 |
+
7280,1.9482,7.972875595092773
|
| 730 |
+
7290,2.2954,7.147056579589844
|
| 731 |
+
7300,2.1596,5.505180835723877
|
| 732 |
+
7310,2.1602,7.347818374633789
|
| 733 |
+
7320,2.0548,3.6011338233947754
|
| 734 |
+
7330,2.0395,3.5904648303985596
|
| 735 |
+
7340,2.0023,5.380495071411133
|
| 736 |
+
7350,1.9918,4.518589973449707
|
| 737 |
+
7360,1.9901,5.9018235206604
|
| 738 |
+
7370,2.0245,3.6925086975097656
|
| 739 |
+
7380,2.2619,9.259016990661621
|
| 740 |
+
7390,2.1797,5.5859808921813965
|
| 741 |
+
7400,2.0357,4.7031683921813965
|
| 742 |
+
7410,2.1377,6.260189056396484
|
| 743 |
+
7420,1.9451,4.784355163574219
|
| 744 |
+
7430,2.0388,8.991378784179688
|
| 745 |
+
7440,2.379,6.376221656799316
|
| 746 |
+
7450,2.1915,5.871402740478516
|
| 747 |
+
7460,2.0817,5.426553249359131
|
| 748 |
+
7470,1.924,5.839360237121582
|
| 749 |
+
7480,2.0216,2.95749568939209
|
| 750 |
+
7490,1.905,8.544522285461426
|
| 751 |
+
7500,1.9288,5.736949443817139
|
| 752 |
+
7510,1.9417,4.557583808898926
|
| 753 |
+
7520,2.3085,5.55007266998291
|
| 754 |
+
7530,1.9185,4.35857629776001
|
| 755 |
+
7540,2.1785,6.802826404571533
|
| 756 |
+
7550,1.9825,7.604827880859375
|
| 757 |
+
7560,1.9379,3.024289846420288
|
| 758 |
+
7570,2.0376,4.845406532287598
|
| 759 |
+
7580,2.0193,7.506366729736328
|
| 760 |
+
7590,2.0873,7.756492614746094
|
| 761 |
+
7600,2.1243,6.46793270111084
|
| 762 |
+
7610,2.1875,6.6785359382629395
|
| 763 |
+
7620,2.1792,3.648634433746338
|
| 764 |
+
7630,2.0782,5.907644271850586
|
| 765 |
+
7640,2.2235,7.055563926696777
|
| 766 |
+
7650,2.0072,6.187650203704834
|
| 767 |
+
7660,2.1009,7.704046726226807
|
| 768 |
+
7670,1.9614,5.42090368270874
|
| 769 |
+
7680,2.1542,4.029887676239014
|
| 770 |
+
7690,2.0916,6.325004577636719
|
| 771 |
+
7700,2.0036,3.8288917541503906
|
| 772 |
+
7710,2.1405,5.6230645179748535
|
| 773 |
+
7720,2.1522,6.5077667236328125
|
| 774 |
+
7730,2.1962,4.403681755065918
|
| 775 |
+
7740,2.1528,9.999998092651367
|
| 776 |
+
7750,2.0474,3.427657127380371
|
| 777 |
+
7760,2.0905,8.58780288696289
|
| 778 |
+
7770,2.1772,7.026243686676025
|
| 779 |
+
7780,2.0321,5.6110405921936035
|
| 780 |
+
7790,1.8835,7.481403350830078
|
| 781 |
+
7800,1.9508,4.553055286407471
|
| 782 |
+
7810,2.2059,5.52471923828125
|
| 783 |
+
7820,3.6667,3.0748660564422607
|
| 784 |
+
7830,2.188,4.8406982421875
|
| 785 |
+
7840,1.9868,6.943801403045654
|
| 786 |
+
7850,1.9901,6.901176452636719
|
| 787 |
+
7860,1.9197,5.6528520584106445
|
| 788 |
+
7870,2.2289,9.42558765411377
|
| 789 |
+
7880,2.1969,6.620875835418701
|
| 790 |
+
7890,2.1826,5.273202896118164
|
| 791 |
+
7900,2.2718,6.013164043426514
|
| 792 |
+
7910,1.9115,5.780605792999268
|
| 793 |
+
7920,2.2051,5.694150924682617
|
| 794 |
+
7930,2.0739,6.350783824920654
|
| 795 |
+
7940,2.008,3.847805976867676
|
| 796 |
+
7950,1.9905,5.354320526123047
|
| 797 |
+
7960,2.1381,5.156245231628418
|
| 798 |
+
7970,2.259,5.384928226470947
|
| 799 |
+
7980,2.206,6.737875938415527
|
| 800 |
+
7990,2.1322,3.4885711669921875
|
| 801 |
+
8000,2.2369,7.307969093322754
|
| 802 |
+
8010,1.9901,4.461708068847656
|
| 803 |
+
8020,2.1096,4.739271640777588
|
| 804 |
+
8030,2.0258,4.999455451965332
|
| 805 |
+
8040,2.0223,3.893523931503296
|
| 806 |
+
8050,2.1654,3.8808035850524902
|
| 807 |
+
8060,2.0741,3.7033116817474365
|
| 808 |
+
8070,2.1801,5.134984493255615
|
| 809 |
+
8080,2.1353,5.389072895050049
|
| 810 |
+
8090,2.0169,3.2037174701690674
|
| 811 |
+
8100,2.0105,6.975593090057373
|
| 812 |
+
8110,2.07,4.0726423263549805
|
| 813 |
+
8120,2.1497,9.999998092651367
|
| 814 |
+
8130,1.9266,3.413611888885498
|
| 815 |
+
8140,2.2622,9.220563888549805
|
| 816 |
+
8150,2.0675,4.455341339111328
|
| 817 |
+
8160,2.171,5.176009178161621
|
| 818 |
+
8170,2.1158,3.342127561569214
|
| 819 |
+
8180,2.1136,3.67814564704895
|
| 820 |
+
8190,2.1383,7.2132391929626465
|
| 821 |
+
8200,2.0992,5.090510845184326
|
| 822 |
+
8210,2.0596,4.983635902404785
|
| 823 |
+
8220,2.053,4.354836463928223
|
| 824 |
+
8230,1.9845,4.732203006744385
|
| 825 |
+
8240,1.9879,3.1118311882019043
|
| 826 |
+
8250,2.0729,4.70589542388916
|
| 827 |
+
8260,2.1209,5.572944164276123
|
| 828 |
+
8270,2.2191,9.762155532836914
|
| 829 |
+
8280,2.1546,4.850767612457275
|
| 830 |
+
8290,2.096,4.146419525146484
|
| 831 |
+
8300,2.1326,4.993535995483398
|
| 832 |
+
8310,2.1873,6.308148384094238
|
| 833 |
+
8320,2.1019,7.768478870391846
|
| 834 |
+
8330,2.06,3.5128209590911865
|
| 835 |
+
8340,2.0348,8.1862211227417
|
| 836 |
+
8350,2.1624,4.3322625160217285
|
| 837 |
+
8360,2.0585,6.597864627838135
|
| 838 |
+
8370,2.0265,4.030665874481201
|
| 839 |
+
8380,2.0382,5.775618553161621
|
| 840 |
+
8390,2.0573,3.6797897815704346
|
| 841 |
+
8400,2.0572,4.699132919311523
|
| 842 |
+
8410,2.0878,3.724128246307373
|
| 843 |
+
8420,2.3014,6.061574459075928
|
| 844 |
+
8430,2.0776,7.603193759918213
|
| 845 |
+
8440,2.075,4.737987041473389
|
| 846 |
+
8450,1.9306,3.1090354919433594
|
| 847 |
+
8460,1.9749,4.949204921722412
|
| 848 |
+
8470,2.1108,6.295539855957031
|
| 849 |
+
8480,2.0563,5.153507709503174
|
| 850 |
+
8490,2.1859,4.624126434326172
|
| 851 |
+
8500,2.1191,4.7635884284973145
|
| 852 |
+
8510,2.0735,4.604827404022217
|
| 853 |
+
8520,2.1324,6.650067329406738
|
| 854 |
+
8530,1.9815,4.415541648864746
|
| 855 |
+
8540,1.9876,4.163292407989502
|
| 856 |
+
8550,2.001,2.965481996536255
|
| 857 |
+
8560,1.9329,3.5702438354492188
|
| 858 |
+
8570,2.0726,6.828572750091553
|
| 859 |
+
8580,1.9933,5.8427300453186035
|
| 860 |
+
8590,2.2388,7.576897621154785
|
| 861 |
+
8600,1.9418,3.542816162109375
|
| 862 |
+
8610,2.1486,8.087502479553223
|
| 863 |
+
8620,2.06,4.78680419921875
|
| 864 |
+
8630,2.1584,3.113011598587036
|
| 865 |
+
8640,2.014,3.982513666152954
|
| 866 |
+
8650,1.811,5.133899211883545
|
| 867 |
+
8660,2.0902,6.8349609375
|
| 868 |
+
8670,2.1602,6.302601337432861
|
| 869 |
+
8680,2.1091,3.433237075805664
|
| 870 |
+
8690,2.098,6.184892654418945
|
| 871 |
+
8700,2.1538,5.453632354736328
|
| 872 |
+
8710,1.9261,7.197730541229248
|
| 873 |
+
8720,1.9436,8.1513032913208
|
| 874 |
+
8730,2.0882,5.156404495239258
|
| 875 |
+
8740,1.9373,6.841371059417725
|
| 876 |
+
8750,2.07,5.5138373374938965
|
| 877 |
+
8760,2.2179,4.273646831512451
|
| 878 |
+
8770,1.9038,6.17716121673584
|
| 879 |
+
8780,2.0042,5.650930881500244
|
| 880 |
+
8790,2.018,7.444324970245361
|
| 881 |
+
8800,2.2024,5.6876068115234375
|
| 882 |
+
8810,2.1015,2.757317543029785
|
| 883 |
+
8820,2.0039,5.419109344482422
|
| 884 |
+
8830,2.0869,4.2704877853393555
|
| 885 |
+
8840,2.0181,4.7045392990112305
|
| 886 |
+
8850,2.0192,5.270239353179932
|
| 887 |
+
8860,2.0618,4.050564765930176
|
| 888 |
+
8870,2.0668,5.236793041229248
|
| 889 |
+
8880,2.0369,6.486008644104004
|
| 890 |
+
8890,1.9495,4.113170146942139
|
| 891 |
+
8900,1.9701,6.932297229766846
|
| 892 |
+
8910,2.1513,5.153751373291016
|
| 893 |
+
8920,2.1062,3.6570873260498047
|
| 894 |
+
8930,2.0764,6.329987525939941
|
| 895 |
+
8940,2.0468,5.174140930175781
|
| 896 |
+
8950,1.9971,3.7998836040496826
|
| 897 |
+
8960,2.1847,8.548787117004395
|
| 898 |
+
8970,2.0329,3.677898645401001
|
| 899 |
+
8980,2.1371,6.614884853363037
|
| 900 |
+
8990,1.9745,6.62887716293335
|
| 901 |
+
9000,2.27,5.070212364196777
|
| 902 |
+
9010,2.0103,6.215460300445557
|
| 903 |
+
9020,2.1006,5.103015899658203
|
| 904 |
+
9030,1.9379,4.409531593322754
|
| 905 |
+
9040,2.1983,6.719906806945801
|
| 906 |
+
9050,2.1848,6.215670108795166
|
| 907 |
+
9060,2.2883,6.721705436706543
|
| 908 |
+
9070,2.0083,3.897223472595215
|
| 909 |
+
9080,2.0583,5.6442461013793945
|
| 910 |
+
9090,2.1312,6.394291877746582
|
| 911 |
+
9100,1.9678,2.766772985458374
|
| 912 |
+
9110,2.1135,3.434525966644287
|
| 913 |
+
9120,2.127,4.80876350402832
|
| 914 |
+
9130,1.9927,5.191465377807617
|
| 915 |
+
9140,2.0743,6.8004631996154785
|
| 916 |
+
9150,2.0535,3.939542531967163
|
| 917 |
+
9160,2.2046,3.9124600887298584
|
| 918 |
+
9170,2.0143,6.297423362731934
|
| 919 |
+
9180,2.0839,5.202453136444092
|
| 920 |
+
9190,1.985,6.202855587005615
|
| 921 |
+
9200,2.1004,4.195956230163574
|
| 922 |
+
9210,1.9329,4.236852645874023
|
| 923 |
+
9220,2.2291,5.220149040222168
|
| 924 |
+
9230,2.057,9.999998092651367
|
| 925 |
+
9240,1.9977,6.199564456939697
|
| 926 |
+
9250,2.0441,5.6598734855651855
|
| 927 |
+
9260,2.1307,3.8681833744049072
|
| 928 |
+
9270,2.0349,4.755743503570557
|
| 929 |
+
9280,2.0914,5.985792636871338
|
| 930 |
+
9290,1.8999,4.568302154541016
|
| 931 |
+
9300,2.0736,3.314087390899658
|
| 932 |
+
9310,1.9899,4.549111366271973
|
| 933 |
+
9320,2.0542,3.963134288787842
|
| 934 |
+
9330,2.1633,4.205166816711426
|
| 935 |
+
9340,2.135,4.5056657791137695
|
| 936 |
+
9350,2.0926,4.240407466888428
|
| 937 |
+
9360,1.8936,3.3892221450805664
|
| 938 |
+
9370,1.9597,5.6661481857299805
|
| 939 |
+
9375,nan,nan
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|