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 sha256:4d1652c7a003dd8627cd4a9648e12d63c6d4c984d8c61b0fca89d4f8de2daeaf
|
| 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:f6272464f0c1bda6ffa9cdadfef39d61b8b78421f8fcbb6ad2806ad028346120
|
| 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:cbfa0492104e0d14ab252606a95a1182673ac69bc120fe2d5d982be7311ea6da
|
| 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:feded292b067a53a2aeb0e2a23dd8fd5fd080c27efc2767fe4b430da7e5f7d6f
|
| 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": 10.000000953674316,
|
| 14 |
+
"learning_rate": 2.132196162046908e-06,
|
| 15 |
+
"loss": 25.0099,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0064,
|
| 20 |
+
"grad_norm": 10.0,
|
| 21 |
+
"learning_rate": 4.264392324093816e-06,
|
| 22 |
+
"loss": 21.1499,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0096,
|
| 27 |
+
"grad_norm": 9.999999046325684,
|
| 28 |
+
"learning_rate": 6.396588486140726e-06,
|
| 29 |
+
"loss": 19.6111,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0128,
|
| 34 |
+
"grad_norm": 10.0,
|
| 35 |
+
"learning_rate": 8.528784648187633e-06,
|
| 36 |
+
"loss": 22.3722,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.016,
|
| 41 |
+
"grad_norm": 9.999999046325684,
|
| 42 |
+
"learning_rate": 1.0660980810234541e-05,
|
| 43 |
+
"loss": 20.1462,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.0192,
|
| 48 |
+
"grad_norm": 10.0,
|
| 49 |
+
"learning_rate": 1.2793176972281452e-05,
|
| 50 |
+
"loss": 20.4235,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.0224,
|
| 55 |
+
"grad_norm": 10.0,
|
| 56 |
+
"learning_rate": 1.4925373134328357e-05,
|
| 57 |
+
"loss": 20.7853,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.0256,
|
| 62 |
+
"grad_norm": 10.0,
|
| 63 |
+
"learning_rate": 1.7057569296375266e-05,
|
| 64 |
+
"loss": 19.5459,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.0288,
|
| 69 |
+
"grad_norm": 9.999999046325684,
|
| 70 |
+
"learning_rate": 1.9189765458422178e-05,
|
| 71 |
+
"loss": 18.4778,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.032,
|
| 76 |
+
"grad_norm": 9.999999046325684,
|
| 77 |
+
"learning_rate": 2.1321961620469083e-05,
|
| 78 |
+
"loss": 16.2191,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.0352,
|
| 83 |
+
"grad_norm": 10.0,
|
| 84 |
+
"learning_rate": 2.345415778251599e-05,
|
| 85 |
+
"loss": 18.5773,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.0384,
|
| 90 |
+
"grad_norm": 9.999999046325684,
|
| 91 |
+
"learning_rate": 2.5586353944562904e-05,
|
| 92 |
+
"loss": 15.9389,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.0416,
|
| 97 |
+
"grad_norm": 10.0,
|
| 98 |
+
"learning_rate": 2.771855010660981e-05,
|
| 99 |
+
"loss": 15.6064,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.0448,
|
| 104 |
+
"grad_norm": 10.000000953674316,
|
| 105 |
+
"learning_rate": 2.9850746268656714e-05,
|
| 106 |
+
"loss": 15.6366,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.048,
|
| 111 |
+
"grad_norm": 10.000000953674316,
|
| 112 |
+
"learning_rate": 3.1982942430703626e-05,
|
| 113 |
+
"loss": 16.7232,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.0512,
|
| 118 |
+
"grad_norm": 10.0,
|
| 119 |
+
"learning_rate": 3.411513859275053e-05,
|
| 120 |
+
"loss": 13.2957,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.0544,
|
| 125 |
+
"grad_norm": 10.0,
|
| 126 |
+
"learning_rate": 3.624733475479744e-05,
|
| 127 |
+
"loss": 13.3429,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.0576,
|
| 132 |
+
"grad_norm": 9.999999046325684,
|
| 133 |
+
"learning_rate": 3.8379530916844355e-05,
|
| 134 |
+
"loss": 13.3301,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.0608,
|
| 139 |
+
"grad_norm": 10.000000953674316,
|
| 140 |
+
"learning_rate": 4.051172707889126e-05,
|
| 141 |
+
"loss": 15.1708,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.064,
|
| 146 |
+
"grad_norm": 10.0,
|
| 147 |
+
"learning_rate": 4.2643923240938166e-05,
|
| 148 |
+
"loss": 14.8533,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.0672,
|
| 153 |
+
"grad_norm": 10.0,
|
| 154 |
+
"learning_rate": 4.477611940298508e-05,
|
| 155 |
+
"loss": 11.6389,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.0704,
|
| 160 |
+
"grad_norm": 9.999999046325684,
|
| 161 |
+
"learning_rate": 4.690831556503198e-05,
|
| 162 |
+
"loss": 12.2515,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.0736,
|
| 167 |
+
"grad_norm": 10.0,
|
| 168 |
+
"learning_rate": 4.904051172707889e-05,
|
| 169 |
+
"loss": 12.6637,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.0768,
|
| 174 |
+
"grad_norm": 9.999999046325684,
|
| 175 |
+
"learning_rate": 5.117270788912581e-05,
|
| 176 |
+
"loss": 10.6091,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.08,
|
| 181 |
+
"grad_norm": 9.999999046325684,
|
| 182 |
+
"learning_rate": 5.330490405117271e-05,
|
| 183 |
+
"loss": 10.9362,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.0832,
|
| 188 |
+
"grad_norm": 10.0,
|
| 189 |
+
"learning_rate": 5.543710021321962e-05,
|
| 190 |
+
"loss": 12.4545,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.0864,
|
| 195 |
+
"grad_norm": 10.000000953674316,
|
| 196 |
+
"learning_rate": 5.756929637526652e-05,
|
| 197 |
+
"loss": 11.5238,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.0896,
|
| 202 |
+
"grad_norm": 10.0,
|
| 203 |
+
"learning_rate": 5.970149253731343e-05,
|
| 204 |
+
"loss": 10.8966,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.0928,
|
| 209 |
+
"grad_norm": 10.0,
|
| 210 |
+
"learning_rate": 6.183368869936035e-05,
|
| 211 |
+
"loss": 10.5903,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.096,
|
| 216 |
+
"grad_norm": 10.0,
|
| 217 |
+
"learning_rate": 6.396588486140725e-05,
|
| 218 |
+
"loss": 10.4872,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.0992,
|
| 223 |
+
"grad_norm": 10.0,
|
| 224 |
+
"learning_rate": 6.609808102345416e-05,
|
| 225 |
+
"loss": 9.9663,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.1024,
|
| 230 |
+
"grad_norm": 9.999999046325684,
|
| 231 |
+
"learning_rate": 6.823027718550106e-05,
|
| 232 |
+
"loss": 9.4655,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.1056,
|
| 237 |
+
"grad_norm": 10.0,
|
| 238 |
+
"learning_rate": 7.036247334754798e-05,
|
| 239 |
+
"loss": 10.487,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.1088,
|
| 244 |
+
"grad_norm": 10.000001907348633,
|
| 245 |
+
"learning_rate": 7.249466950959489e-05,
|
| 246 |
+
"loss": 9.3626,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.112,
|
| 251 |
+
"grad_norm": 10.0,
|
| 252 |
+
"learning_rate": 7.46268656716418e-05,
|
| 253 |
+
"loss": 9.864,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.1152,
|
| 258 |
+
"grad_norm": 9.999999046325684,
|
| 259 |
+
"learning_rate": 7.675906183368871e-05,
|
| 260 |
+
"loss": 8.8008,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.1184,
|
| 265 |
+
"grad_norm": 10.0,
|
| 266 |
+
"learning_rate": 7.889125799573562e-05,
|
| 267 |
+
"loss": 9.7772,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.1216,
|
| 272 |
+
"grad_norm": 10.0,
|
| 273 |
+
"learning_rate": 8.102345415778252e-05,
|
| 274 |
+
"loss": 8.7418,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.1248,
|
| 279 |
+
"grad_norm": 9.999999046325684,
|
| 280 |
+
"learning_rate": 8.315565031982943e-05,
|
| 281 |
+
"loss": 9.1157,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.128,
|
| 286 |
+
"grad_norm": 10.000000953674316,
|
| 287 |
+
"learning_rate": 8.528784648187633e-05,
|
| 288 |
+
"loss": 8.1395,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.1312,
|
| 293 |
+
"grad_norm": 10.0,
|
| 294 |
+
"learning_rate": 8.742004264392325e-05,
|
| 295 |
+
"loss": 8.8305,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.1344,
|
| 300 |
+
"grad_norm": 10.0,
|
| 301 |
+
"learning_rate": 8.955223880597016e-05,
|
| 302 |
+
"loss": 9.2089,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.1376,
|
| 307 |
+
"grad_norm": 10.000000953674316,
|
| 308 |
+
"learning_rate": 9.168443496801706e-05,
|
| 309 |
+
"loss": 8.5206,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.1408,
|
| 314 |
+
"grad_norm": 9.999999046325684,
|
| 315 |
+
"learning_rate": 9.381663113006397e-05,
|
| 316 |
+
"loss": 8.8993,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.144,
|
| 321 |
+
"grad_norm": 10.0,
|
| 322 |
+
"learning_rate": 9.594882729211087e-05,
|
| 323 |
+
"loss": 8.8173,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.1472,
|
| 328 |
+
"grad_norm": 10.000000953674316,
|
| 329 |
+
"learning_rate": 9.808102345415778e-05,
|
| 330 |
+
"loss": 8.3408,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.1504,
|
| 335 |
+
"grad_norm": 10.0,
|
| 336 |
+
"learning_rate": 9.998877161464182e-05,
|
| 337 |
+
"loss": 7.5853,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.1536,
|
| 342 |
+
"grad_norm": 10.0,
|
| 343 |
+
"learning_rate": 9.987648776105997e-05,
|
| 344 |
+
"loss": 7.4544,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.1568,
|
| 349 |
+
"grad_norm": 10.000000953674316,
|
| 350 |
+
"learning_rate": 9.97642039074781e-05,
|
| 351 |
+
"loss": 8.0499,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.16,
|
| 356 |
+
"grad_norm": 10.0,
|
| 357 |
+
"learning_rate": 9.965192005389625e-05,
|
| 358 |
+
"loss": 8.2335,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.1632,
|
| 363 |
+
"grad_norm": 10.0,
|
| 364 |
+
"learning_rate": 9.95396362003144e-05,
|
| 365 |
+
"loss": 7.0574,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.1664,
|
| 370 |
+
"grad_norm": 10.0,
|
| 371 |
+
"learning_rate": 9.942735234673256e-05,
|
| 372 |
+
"loss": 6.8412,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.1696,
|
| 377 |
+
"grad_norm": 10.0,
|
| 378 |
+
"learning_rate": 9.931506849315069e-05,
|
| 379 |
+
"loss": 7.1418,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.1728,
|
| 384 |
+
"grad_norm": 10.0,
|
| 385 |
+
"learning_rate": 9.920278463956883e-05,
|
| 386 |
+
"loss": 7.1722,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.176,
|
| 391 |
+
"grad_norm": 10.0,
|
| 392 |
+
"learning_rate": 9.909050078598698e-05,
|
| 393 |
+
"loss": 6.7641,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.1792,
|
| 398 |
+
"grad_norm": 10.0,
|
| 399 |
+
"learning_rate": 9.897821693240512e-05,
|
| 400 |
+
"loss": 6.3646,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.1824,
|
| 405 |
+
"grad_norm": 10.0,
|
| 406 |
+
"learning_rate": 9.886593307882327e-05,
|
| 407 |
+
"loss": 6.3469,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.1856,
|
| 412 |
+
"grad_norm": 10.0,
|
| 413 |
+
"learning_rate": 9.875364922524142e-05,
|
| 414 |
+
"loss": 6.38,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.1888,
|
| 419 |
+
"grad_norm": 10.000000953674316,
|
| 420 |
+
"learning_rate": 9.864136537165956e-05,
|
| 421 |
+
"loss": 5.8154,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.192,
|
| 426 |
+
"grad_norm": 10.000000953674316,
|
| 427 |
+
"learning_rate": 9.852908151807771e-05,
|
| 428 |
+
"loss": 5.6794,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.1952,
|
| 433 |
+
"grad_norm": 9.999999046325684,
|
| 434 |
+
"learning_rate": 9.841679766449586e-05,
|
| 435 |
+
"loss": 5.4415,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.1984,
|
| 440 |
+
"grad_norm": 10.0,
|
| 441 |
+
"learning_rate": 9.8304513810914e-05,
|
| 442 |
+
"loss": 4.7814,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.2016,
|
| 447 |
+
"grad_norm": 10.000000953674316,
|
| 448 |
+
"learning_rate": 9.819222995733213e-05,
|
| 449 |
+
"loss": 4.8304,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.2048,
|
| 454 |
+
"grad_norm": 10.0,
|
| 455 |
+
"learning_rate": 9.807994610375028e-05,
|
| 456 |
+
"loss": 4.9017,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.208,
|
| 461 |
+
"grad_norm": 10.0,
|
| 462 |
+
"learning_rate": 9.796766225016843e-05,
|
| 463 |
+
"loss": 4.5826,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.2112,
|
| 468 |
+
"grad_norm": 10.0,
|
| 469 |
+
"learning_rate": 9.785537839658657e-05,
|
| 470 |
+
"loss": 4.4032,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.2144,
|
| 475 |
+
"grad_norm": 10.0,
|
| 476 |
+
"learning_rate": 9.774309454300472e-05,
|
| 477 |
+
"loss": 4.4789,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.2176,
|
| 482 |
+
"grad_norm": 10.000000953674316,
|
| 483 |
+
"learning_rate": 9.763081068942287e-05,
|
| 484 |
+
"loss": 3.5318,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.2208,
|
| 489 |
+
"grad_norm": 10.000000953674316,
|
| 490 |
+
"learning_rate": 9.751852683584101e-05,
|
| 491 |
+
"loss": 3.9803,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.224,
|
| 496 |
+
"grad_norm": 10.0,
|
| 497 |
+
"learning_rate": 9.740624298225916e-05,
|
| 498 |
+
"loss": 3.3411,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.2272,
|
| 503 |
+
"grad_norm": 10.0,
|
| 504 |
+
"learning_rate": 9.729395912867731e-05,
|
| 505 |
+
"loss": 3.8421,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.2304,
|
| 510 |
+
"grad_norm": 10.000000953674316,
|
| 511 |
+
"learning_rate": 9.718167527509545e-05,
|
| 512 |
+
"loss": 3.8598,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.2336,
|
| 517 |
+
"grad_norm": 9.999999046325684,
|
| 518 |
+
"learning_rate": 9.706939142151358e-05,
|
| 519 |
+
"loss": 3.6175,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.2368,
|
| 524 |
+
"grad_norm": 9.999999046325684,
|
| 525 |
+
"learning_rate": 9.695710756793174e-05,
|
| 526 |
+
"loss": 3.3833,
|
| 527 |
+
"step": 740
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.24,
|
| 531 |
+
"grad_norm": 10.0,
|
| 532 |
+
"learning_rate": 9.684482371434989e-05,
|
| 533 |
+
"loss": 3.1501,
|
| 534 |
+
"step": 750
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.2432,
|
| 538 |
+
"grad_norm": 10.0,
|
| 539 |
+
"learning_rate": 9.673253986076802e-05,
|
| 540 |
+
"loss": 3.2144,
|
| 541 |
+
"step": 760
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.2464,
|
| 545 |
+
"grad_norm": 10.0,
|
| 546 |
+
"learning_rate": 9.662025600718617e-05,
|
| 547 |
+
"loss": 3.1372,
|
| 548 |
+
"step": 770
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.2496,
|
| 552 |
+
"grad_norm": 10.0,
|
| 553 |
+
"learning_rate": 9.650797215360432e-05,
|
| 554 |
+
"loss": 2.728,
|
| 555 |
+
"step": 780
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.2528,
|
| 559 |
+
"grad_norm": 10.0,
|
| 560 |
+
"learning_rate": 9.639568830002246e-05,
|
| 561 |
+
"loss": 2.7485,
|
| 562 |
+
"step": 790
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.256,
|
| 566 |
+
"grad_norm": 10.000000953674316,
|
| 567 |
+
"learning_rate": 9.628340444644061e-05,
|
| 568 |
+
"loss": 2.7431,
|
| 569 |
+
"step": 800
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.2592,
|
| 573 |
+
"grad_norm": 10.0,
|
| 574 |
+
"learning_rate": 9.617112059285875e-05,
|
| 575 |
+
"loss": 2.534,
|
| 576 |
+
"step": 810
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.2624,
|
| 580 |
+
"grad_norm": 10.0,
|
| 581 |
+
"learning_rate": 9.605883673927689e-05,
|
| 582 |
+
"loss": 2.6129,
|
| 583 |
+
"step": 820
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.2656,
|
| 587 |
+
"grad_norm": 10.0,
|
| 588 |
+
"learning_rate": 9.594655288569504e-05,
|
| 589 |
+
"loss": 2.6607,
|
| 590 |
+
"step": 830
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.2688,
|
| 594 |
+
"grad_norm": 9.999999046325684,
|
| 595 |
+
"learning_rate": 9.583426903211319e-05,
|
| 596 |
+
"loss": 2.5158,
|
| 597 |
+
"step": 840
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.272,
|
| 601 |
+
"grad_norm": 9.999999046325684,
|
| 602 |
+
"learning_rate": 9.572198517853134e-05,
|
| 603 |
+
"loss": 2.2633,
|
| 604 |
+
"step": 850
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.2752,
|
| 608 |
+
"grad_norm": 10.0,
|
| 609 |
+
"learning_rate": 9.560970132494948e-05,
|
| 610 |
+
"loss": 2.4407,
|
| 611 |
+
"step": 860
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.2784,
|
| 615 |
+
"grad_norm": 9.999999046325684,
|
| 616 |
+
"learning_rate": 9.549741747136763e-05,
|
| 617 |
+
"loss": 2.1584,
|
| 618 |
+
"step": 870
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.2816,
|
| 622 |
+
"grad_norm": 10.0,
|
| 623 |
+
"learning_rate": 9.538513361778578e-05,
|
| 624 |
+
"loss": 2.1552,
|
| 625 |
+
"step": 880
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.2848,
|
| 629 |
+
"grad_norm": 10.000000953674316,
|
| 630 |
+
"learning_rate": 9.527284976420391e-05,
|
| 631 |
+
"loss": 1.8968,
|
| 632 |
+
"step": 890
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.288,
|
| 636 |
+
"grad_norm": 9.999999046325684,
|
| 637 |
+
"learning_rate": 9.516056591062205e-05,
|
| 638 |
+
"loss": 1.9182,
|
| 639 |
+
"step": 900
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.2912,
|
| 643 |
+
"grad_norm": 10.0,
|
| 644 |
+
"learning_rate": 9.50482820570402e-05,
|
| 645 |
+
"loss": 1.9413,
|
| 646 |
+
"step": 910
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.2944,
|
| 650 |
+
"grad_norm": 10.0,
|
| 651 |
+
"learning_rate": 9.493599820345834e-05,
|
| 652 |
+
"loss": 1.8959,
|
| 653 |
+
"step": 920
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.2976,
|
| 657 |
+
"grad_norm": 10.0,
|
| 658 |
+
"learning_rate": 9.482371434987649e-05,
|
| 659 |
+
"loss": 1.9225,
|
| 660 |
+
"step": 930
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.3008,
|
| 664 |
+
"grad_norm": 10.0,
|
| 665 |
+
"learning_rate": 9.471143049629464e-05,
|
| 666 |
+
"loss": 1.8802,
|
| 667 |
+
"step": 940
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.304,
|
| 671 |
+
"grad_norm": 9.999999046325684,
|
| 672 |
+
"learning_rate": 9.459914664271278e-05,
|
| 673 |
+
"loss": 1.8896,
|
| 674 |
+
"step": 950
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.3072,
|
| 678 |
+
"grad_norm": 10.0,
|
| 679 |
+
"learning_rate": 9.448686278913093e-05,
|
| 680 |
+
"loss": 1.7142,
|
| 681 |
+
"step": 960
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.3104,
|
| 685 |
+
"grad_norm": 10.0,
|
| 686 |
+
"learning_rate": 9.437457893554908e-05,
|
| 687 |
+
"loss": 1.6888,
|
| 688 |
+
"step": 970
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.3136,
|
| 692 |
+
"grad_norm": 10.0,
|
| 693 |
+
"learning_rate": 9.426229508196722e-05,
|
| 694 |
+
"loss": 1.6177,
|
| 695 |
+
"step": 980
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.3168,
|
| 699 |
+
"grad_norm": 10.0,
|
| 700 |
+
"learning_rate": 9.415001122838537e-05,
|
| 701 |
+
"loss": 1.645,
|
| 702 |
+
"step": 990
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.32,
|
| 706 |
+
"grad_norm": 10.0,
|
| 707 |
+
"learning_rate": 9.40377273748035e-05,
|
| 708 |
+
"loss": 1.6792,
|
| 709 |
+
"step": 1000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.3232,
|
| 713 |
+
"grad_norm": 10.0,
|
| 714 |
+
"learning_rate": 9.392544352122165e-05,
|
| 715 |
+
"loss": 1.8599,
|
| 716 |
+
"step": 1010
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.3264,
|
| 720 |
+
"grad_norm": 10.0,
|
| 721 |
+
"learning_rate": 9.381315966763979e-05,
|
| 722 |
+
"loss": 1.6779,
|
| 723 |
+
"step": 1020
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.3296,
|
| 727 |
+
"grad_norm": 9.999999046325684,
|
| 728 |
+
"learning_rate": 9.370087581405794e-05,
|
| 729 |
+
"loss": 1.4669,
|
| 730 |
+
"step": 1030
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.3328,
|
| 734 |
+
"grad_norm": 10.0,
|
| 735 |
+
"learning_rate": 9.358859196047609e-05,
|
| 736 |
+
"loss": 1.3649,
|
| 737 |
+
"step": 1040
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.336,
|
| 741 |
+
"grad_norm": 10.0,
|
| 742 |
+
"learning_rate": 9.347630810689423e-05,
|
| 743 |
+
"loss": 1.3987,
|
| 744 |
+
"step": 1050
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.3392,
|
| 748 |
+
"grad_norm": 9.999998092651367,
|
| 749 |
+
"learning_rate": 9.336402425331238e-05,
|
| 750 |
+
"loss": 1.2421,
|
| 751 |
+
"step": 1060
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.3424,
|
| 755 |
+
"grad_norm": 9.999998092651367,
|
| 756 |
+
"learning_rate": 9.325174039973053e-05,
|
| 757 |
+
"loss": 1.3011,
|
| 758 |
+
"step": 1070
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.3456,
|
| 762 |
+
"grad_norm": 9.999999046325684,
|
| 763 |
+
"learning_rate": 9.313945654614867e-05,
|
| 764 |
+
"loss": 1.2287,
|
| 765 |
+
"step": 1080
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.3488,
|
| 769 |
+
"grad_norm": 10.0,
|
| 770 |
+
"learning_rate": 9.30271726925668e-05,
|
| 771 |
+
"loss": 1.1587,
|
| 772 |
+
"step": 1090
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.352,
|
| 776 |
+
"grad_norm": 10.0,
|
| 777 |
+
"learning_rate": 9.291488883898496e-05,
|
| 778 |
+
"loss": 1.2415,
|
| 779 |
+
"step": 1100
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.3552,
|
| 783 |
+
"grad_norm": 10.0,
|
| 784 |
+
"learning_rate": 9.280260498540311e-05,
|
| 785 |
+
"loss": 1.1415,
|
| 786 |
+
"step": 1110
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.3584,
|
| 790 |
+
"grad_norm": 9.999998092651367,
|
| 791 |
+
"learning_rate": 9.269032113182124e-05,
|
| 792 |
+
"loss": 1.1941,
|
| 793 |
+
"step": 1120
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.3616,
|
| 797 |
+
"grad_norm": 10.0,
|
| 798 |
+
"learning_rate": 9.25780372782394e-05,
|
| 799 |
+
"loss": 1.1668,
|
| 800 |
+
"step": 1130
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.3648,
|
| 804 |
+
"grad_norm": 10.000000953674316,
|
| 805 |
+
"learning_rate": 9.246575342465755e-05,
|
| 806 |
+
"loss": 1.0887,
|
| 807 |
+
"step": 1140
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.368,
|
| 811 |
+
"grad_norm": 9.999998092651367,
|
| 812 |
+
"learning_rate": 9.235346957107568e-05,
|
| 813 |
+
"loss": 1.0604,
|
| 814 |
+
"step": 1150
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.3712,
|
| 818 |
+
"grad_norm": 9.999999046325684,
|
| 819 |
+
"learning_rate": 9.224118571749383e-05,
|
| 820 |
+
"loss": 0.9446,
|
| 821 |
+
"step": 1160
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.3744,
|
| 825 |
+
"grad_norm": 9.999999046325684,
|
| 826 |
+
"learning_rate": 9.212890186391197e-05,
|
| 827 |
+
"loss": 0.9737,
|
| 828 |
+
"step": 1170
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.3776,
|
| 832 |
+
"grad_norm": 10.0,
|
| 833 |
+
"learning_rate": 9.201661801033011e-05,
|
| 834 |
+
"loss": 0.9654,
|
| 835 |
+
"step": 1180
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.3808,
|
| 839 |
+
"grad_norm": 10.000000953674316,
|
| 840 |
+
"learning_rate": 9.190433415674826e-05,
|
| 841 |
+
"loss": 1.0253,
|
| 842 |
+
"step": 1190
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.384,
|
| 846 |
+
"grad_norm": 9.999999046325684,
|
| 847 |
+
"learning_rate": 9.179205030316641e-05,
|
| 848 |
+
"loss": 0.8597,
|
| 849 |
+
"step": 1200
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.3872,
|
| 853 |
+
"grad_norm": 9.999998092651367,
|
| 854 |
+
"learning_rate": 9.167976644958456e-05,
|
| 855 |
+
"loss": 0.8202,
|
| 856 |
+
"step": 1210
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.3904,
|
| 860 |
+
"grad_norm": 9.999999046325684,
|
| 861 |
+
"learning_rate": 9.15674825960027e-05,
|
| 862 |
+
"loss": 0.8386,
|
| 863 |
+
"step": 1220
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.3936,
|
| 867 |
+
"grad_norm": 9.999999046325684,
|
| 868 |
+
"learning_rate": 9.145519874242085e-05,
|
| 869 |
+
"loss": 0.8318,
|
| 870 |
+
"step": 1230
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.3968,
|
| 874 |
+
"grad_norm": 10.0,
|
| 875 |
+
"learning_rate": 9.1342914888839e-05,
|
| 876 |
+
"loss": 0.8571,
|
| 877 |
+
"step": 1240
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.4,
|
| 881 |
+
"grad_norm": 9.999999046325684,
|
| 882 |
+
"learning_rate": 9.123063103525713e-05,
|
| 883 |
+
"loss": 0.8326,
|
| 884 |
+
"step": 1250
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.4032,
|
| 888 |
+
"grad_norm": 9.999999046325684,
|
| 889 |
+
"learning_rate": 9.111834718167527e-05,
|
| 890 |
+
"loss": 0.7655,
|
| 891 |
+
"step": 1260
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.4064,
|
| 895 |
+
"grad_norm": 10.0,
|
| 896 |
+
"learning_rate": 9.100606332809342e-05,
|
| 897 |
+
"loss": 0.747,
|
| 898 |
+
"step": 1270
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.4096,
|
| 902 |
+
"grad_norm": 10.0,
|
| 903 |
+
"learning_rate": 9.089377947451156e-05,
|
| 904 |
+
"loss": 0.8671,
|
| 905 |
+
"step": 1280
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.4128,
|
| 909 |
+
"grad_norm": 9.999999046325684,
|
| 910 |
+
"learning_rate": 9.078149562092971e-05,
|
| 911 |
+
"loss": 0.8758,
|
| 912 |
+
"step": 1290
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.416,
|
| 916 |
+
"grad_norm": 10.000000953674316,
|
| 917 |
+
"learning_rate": 9.066921176734786e-05,
|
| 918 |
+
"loss": 0.8714,
|
| 919 |
+
"step": 1300
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.4192,
|
| 923 |
+
"grad_norm": 9.999999046325684,
|
| 924 |
+
"learning_rate": 9.055692791376601e-05,
|
| 925 |
+
"loss": 0.8022,
|
| 926 |
+
"step": 1310
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.4224,
|
| 930 |
+
"grad_norm": 8.615378379821777,
|
| 931 |
+
"learning_rate": 9.044464406018415e-05,
|
| 932 |
+
"loss": 0.7234,
|
| 933 |
+
"step": 1320
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.4256,
|
| 937 |
+
"grad_norm": 10.0,
|
| 938 |
+
"learning_rate": 9.03323602066023e-05,
|
| 939 |
+
"loss": 0.7416,
|
| 940 |
+
"step": 1330
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.4288,
|
| 944 |
+
"grad_norm": 10.0,
|
| 945 |
+
"learning_rate": 9.022007635302045e-05,
|
| 946 |
+
"loss": 0.6898,
|
| 947 |
+
"step": 1340
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.432,
|
| 951 |
+
"grad_norm": 9.999999046325684,
|
| 952 |
+
"learning_rate": 9.010779249943859e-05,
|
| 953 |
+
"loss": 0.6261,
|
| 954 |
+
"step": 1350
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.4352,
|
| 958 |
+
"grad_norm": 10.0,
|
| 959 |
+
"learning_rate": 8.999550864585672e-05,
|
| 960 |
+
"loss": 0.6267,
|
| 961 |
+
"step": 1360
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.4384,
|
| 965 |
+
"grad_norm": 9.999999046325684,
|
| 966 |
+
"learning_rate": 8.988322479227488e-05,
|
| 967 |
+
"loss": 0.6171,
|
| 968 |
+
"step": 1370
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.4416,
|
| 972 |
+
"grad_norm": 9.999998092651367,
|
| 973 |
+
"learning_rate": 8.977094093869301e-05,
|
| 974 |
+
"loss": 0.5677,
|
| 975 |
+
"step": 1380
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.4448,
|
| 979 |
+
"grad_norm": 9.999999046325684,
|
| 980 |
+
"learning_rate": 8.965865708511116e-05,
|
| 981 |
+
"loss": 0.5227,
|
| 982 |
+
"step": 1390
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.448,
|
| 986 |
+
"grad_norm": 9.999999046325684,
|
| 987 |
+
"learning_rate": 8.954637323152931e-05,
|
| 988 |
+
"loss": 0.5775,
|
| 989 |
+
"step": 1400
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.4512,
|
| 993 |
+
"grad_norm": 9.999998092651367,
|
| 994 |
+
"learning_rate": 8.943408937794746e-05,
|
| 995 |
+
"loss": 0.6166,
|
| 996 |
+
"step": 1410
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.4544,
|
| 1000 |
+
"grad_norm": 10.0,
|
| 1001 |
+
"learning_rate": 8.93218055243656e-05,
|
| 1002 |
+
"loss": 0.6165,
|
| 1003 |
+
"step": 1420
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.4576,
|
| 1007 |
+
"grad_norm": 9.999999046325684,
|
| 1008 |
+
"learning_rate": 8.920952167078375e-05,
|
| 1009 |
+
"loss": 0.5849,
|
| 1010 |
+
"step": 1430
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.4608,
|
| 1014 |
+
"grad_norm": 10.0,
|
| 1015 |
+
"learning_rate": 8.909723781720189e-05,
|
| 1016 |
+
"loss": 0.6439,
|
| 1017 |
+
"step": 1440
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.464,
|
| 1021 |
+
"grad_norm": 9.999998092651367,
|
| 1022 |
+
"learning_rate": 8.898495396362003e-05,
|
| 1023 |
+
"loss": 0.5886,
|
| 1024 |
+
"step": 1450
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.4672,
|
| 1028 |
+
"grad_norm": 9.999999046325684,
|
| 1029 |
+
"learning_rate": 8.887267011003818e-05,
|
| 1030 |
+
"loss": 0.5935,
|
| 1031 |
+
"step": 1460
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.4704,
|
| 1035 |
+
"grad_norm": 10.0,
|
| 1036 |
+
"learning_rate": 8.876038625645633e-05,
|
| 1037 |
+
"loss": 0.5868,
|
| 1038 |
+
"step": 1470
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.4736,
|
| 1042 |
+
"grad_norm": 9.999998092651367,
|
| 1043 |
+
"learning_rate": 8.864810240287447e-05,
|
| 1044 |
+
"loss": 0.5489,
|
| 1045 |
+
"step": 1480
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.4768,
|
| 1049 |
+
"grad_norm": 10.0,
|
| 1050 |
+
"learning_rate": 8.853581854929262e-05,
|
| 1051 |
+
"loss": 0.5106,
|
| 1052 |
+
"step": 1490
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.48,
|
| 1056 |
+
"grad_norm": 9.999999046325684,
|
| 1057 |
+
"learning_rate": 8.842353469571077e-05,
|
| 1058 |
+
"loss": 0.4885,
|
| 1059 |
+
"step": 1500
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.4832,
|
| 1063 |
+
"grad_norm": 9.999999046325684,
|
| 1064 |
+
"learning_rate": 8.83112508421289e-05,
|
| 1065 |
+
"loss": 0.5323,
|
| 1066 |
+
"step": 1510
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.4864,
|
| 1070 |
+
"grad_norm": 9.999999046325684,
|
| 1071 |
+
"learning_rate": 8.819896698854705e-05,
|
| 1072 |
+
"loss": 0.4359,
|
| 1073 |
+
"step": 1520
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.4896,
|
| 1077 |
+
"grad_norm": 7.423900604248047,
|
| 1078 |
+
"learning_rate": 8.808668313496519e-05,
|
| 1079 |
+
"loss": 0.4789,
|
| 1080 |
+
"step": 1530
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.4928,
|
| 1084 |
+
"grad_norm": 9.999998092651367,
|
| 1085 |
+
"learning_rate": 8.797439928138334e-05,
|
| 1086 |
+
"loss": 0.4367,
|
| 1087 |
+
"step": 1540
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.496,
|
| 1091 |
+
"grad_norm": 7.3594489097595215,
|
| 1092 |
+
"learning_rate": 8.786211542780148e-05,
|
| 1093 |
+
"loss": 0.465,
|
| 1094 |
+
"step": 1550
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.4992,
|
| 1098 |
+
"grad_norm": 9.999998092651367,
|
| 1099 |
+
"learning_rate": 8.774983157421963e-05,
|
| 1100 |
+
"loss": 0.4244,
|
| 1101 |
+
"step": 1560
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.5024,
|
| 1105 |
+
"grad_norm": 10.0,
|
| 1106 |
+
"learning_rate": 8.763754772063778e-05,
|
| 1107 |
+
"loss": 0.4311,
|
| 1108 |
+
"step": 1570
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.5056,
|
| 1112 |
+
"grad_norm": 9.999999046325684,
|
| 1113 |
+
"learning_rate": 8.752526386705592e-05,
|
| 1114 |
+
"loss": 0.4787,
|
| 1115 |
+
"step": 1580
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.5088,
|
| 1119 |
+
"grad_norm": 9.999999046325684,
|
| 1120 |
+
"learning_rate": 8.741298001347407e-05,
|
| 1121 |
+
"loss": 0.4777,
|
| 1122 |
+
"step": 1590
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.512,
|
| 1126 |
+
"grad_norm": 10.0,
|
| 1127 |
+
"learning_rate": 8.730069615989222e-05,
|
| 1128 |
+
"loss": 0.469,
|
| 1129 |
+
"step": 1600
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.5152,
|
| 1133 |
+
"grad_norm": 10.0,
|
| 1134 |
+
"learning_rate": 8.718841230631036e-05,
|
| 1135 |
+
"loss": 0.4519,
|
| 1136 |
+
"step": 1610
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.5184,
|
| 1140 |
+
"grad_norm": 9.999998092651367,
|
| 1141 |
+
"learning_rate": 8.70761284527285e-05,
|
| 1142 |
+
"loss": 0.4084,
|
| 1143 |
+
"step": 1620
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.5216,
|
| 1147 |
+
"grad_norm": 9.999998092651367,
|
| 1148 |
+
"learning_rate": 8.696384459914664e-05,
|
| 1149 |
+
"loss": 0.3627,
|
| 1150 |
+
"step": 1630
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.5248,
|
| 1154 |
+
"grad_norm": 8.502776145935059,
|
| 1155 |
+
"learning_rate": 8.68515607455648e-05,
|
| 1156 |
+
"loss": 0.3742,
|
| 1157 |
+
"step": 1640
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.528,
|
| 1161 |
+
"grad_norm": 10.0,
|
| 1162 |
+
"learning_rate": 8.673927689198293e-05,
|
| 1163 |
+
"loss": 0.3525,
|
| 1164 |
+
"step": 1650
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.5312,
|
| 1168 |
+
"grad_norm": 9.999999046325684,
|
| 1169 |
+
"learning_rate": 8.662699303840108e-05,
|
| 1170 |
+
"loss": 0.3889,
|
| 1171 |
+
"step": 1660
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.5344,
|
| 1175 |
+
"grad_norm": 10.0,
|
| 1176 |
+
"learning_rate": 8.651470918481923e-05,
|
| 1177 |
+
"loss": 0.5584,
|
| 1178 |
+
"step": 1670
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.5376,
|
| 1182 |
+
"grad_norm": 9.999999046325684,
|
| 1183 |
+
"learning_rate": 8.640242533123737e-05,
|
| 1184 |
+
"loss": 0.3988,
|
| 1185 |
+
"step": 1680
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.5408,
|
| 1189 |
+
"grad_norm": 8.782861709594727,
|
| 1190 |
+
"learning_rate": 8.629014147765552e-05,
|
| 1191 |
+
"loss": 0.3439,
|
| 1192 |
+
"step": 1690
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.544,
|
| 1196 |
+
"grad_norm": 8.174032211303711,
|
| 1197 |
+
"learning_rate": 8.617785762407367e-05,
|
| 1198 |
+
"loss": 0.3265,
|
| 1199 |
+
"step": 1700
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.5472,
|
| 1203 |
+
"grad_norm": 4.737403392791748,
|
| 1204 |
+
"learning_rate": 8.606557377049181e-05,
|
| 1205 |
+
"loss": 0.329,
|
| 1206 |
+
"step": 1710
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.5504,
|
| 1210 |
+
"grad_norm": 9.999999046325684,
|
| 1211 |
+
"learning_rate": 8.595328991690995e-05,
|
| 1212 |
+
"loss": 0.3093,
|
| 1213 |
+
"step": 1720
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.5536,
|
| 1217 |
+
"grad_norm": 10.0,
|
| 1218 |
+
"learning_rate": 8.58410060633281e-05,
|
| 1219 |
+
"loss": 0.3119,
|
| 1220 |
+
"step": 1730
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.5568,
|
| 1224 |
+
"grad_norm": 10.0,
|
| 1225 |
+
"learning_rate": 8.572872220974623e-05,
|
| 1226 |
+
"loss": 0.3227,
|
| 1227 |
+
"step": 1740
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.56,
|
| 1231 |
+
"grad_norm": 9.882418632507324,
|
| 1232 |
+
"learning_rate": 8.561643835616438e-05,
|
| 1233 |
+
"loss": 0.2979,
|
| 1234 |
+
"step": 1750
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.5632,
|
| 1238 |
+
"grad_norm": 9.999998092651367,
|
| 1239 |
+
"learning_rate": 8.550415450258253e-05,
|
| 1240 |
+
"loss": 0.2693,
|
| 1241 |
+
"step": 1760
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.5664,
|
| 1245 |
+
"grad_norm": 9.999999046325684,
|
| 1246 |
+
"learning_rate": 8.539187064900069e-05,
|
| 1247 |
+
"loss": 0.3187,
|
| 1248 |
+
"step": 1770
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.5696,
|
| 1252 |
+
"grad_norm": 9.999999046325684,
|
| 1253 |
+
"learning_rate": 8.527958679541882e-05,
|
| 1254 |
+
"loss": 0.291,
|
| 1255 |
+
"step": 1780
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.5728,
|
| 1259 |
+
"grad_norm": 7.839264869689941,
|
| 1260 |
+
"learning_rate": 8.516730294183697e-05,
|
| 1261 |
+
"loss": 0.2833,
|
| 1262 |
+
"step": 1790
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.576,
|
| 1266 |
+
"grad_norm": 4.611258029937744,
|
| 1267 |
+
"learning_rate": 8.505501908825511e-05,
|
| 1268 |
+
"loss": 0.2525,
|
| 1269 |
+
"step": 1800
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.5792,
|
| 1273 |
+
"grad_norm": 4.125186443328857,
|
| 1274 |
+
"learning_rate": 8.494273523467325e-05,
|
| 1275 |
+
"loss": 0.2727,
|
| 1276 |
+
"step": 1810
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.5824,
|
| 1280 |
+
"grad_norm": 9.999999046325684,
|
| 1281 |
+
"learning_rate": 8.48304513810914e-05,
|
| 1282 |
+
"loss": 0.2718,
|
| 1283 |
+
"step": 1820
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.5856,
|
| 1287 |
+
"grad_norm": 9.999999046325684,
|
| 1288 |
+
"learning_rate": 8.471816752750955e-05,
|
| 1289 |
+
"loss": 0.2787,
|
| 1290 |
+
"step": 1830
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.5888,
|
| 1294 |
+
"grad_norm": 4.507540225982666,
|
| 1295 |
+
"learning_rate": 8.460588367392769e-05,
|
| 1296 |
+
"loss": 0.2903,
|
| 1297 |
+
"step": 1840
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.592,
|
| 1301 |
+
"grad_norm": 8.763723373413086,
|
| 1302 |
+
"learning_rate": 8.449359982034584e-05,
|
| 1303 |
+
"loss": 0.2821,
|
| 1304 |
+
"step": 1850
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.5952,
|
| 1308 |
+
"grad_norm": 6.04974365234375,
|
| 1309 |
+
"learning_rate": 8.438131596676399e-05,
|
| 1310 |
+
"loss": 0.2469,
|
| 1311 |
+
"step": 1860
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.5984,
|
| 1315 |
+
"grad_norm": 9.999998092651367,
|
| 1316 |
+
"learning_rate": 8.426903211318214e-05,
|
| 1317 |
+
"loss": 0.2389,
|
| 1318 |
+
"step": 1870
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.6016,
|
| 1322 |
+
"grad_norm": 10.0,
|
| 1323 |
+
"learning_rate": 8.415674825960028e-05,
|
| 1324 |
+
"loss": 0.2749,
|
| 1325 |
+
"step": 1880
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.6048,
|
| 1329 |
+
"grad_norm": 10.0,
|
| 1330 |
+
"learning_rate": 8.404446440601843e-05,
|
| 1331 |
+
"loss": 0.2829,
|
| 1332 |
+
"step": 1890
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.608,
|
| 1336 |
+
"grad_norm": 9.99999713897705,
|
| 1337 |
+
"learning_rate": 8.393218055243656e-05,
|
| 1338 |
+
"loss": 0.2725,
|
| 1339 |
+
"step": 1900
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.6112,
|
| 1343 |
+
"grad_norm": 10.000001907348633,
|
| 1344 |
+
"learning_rate": 8.38198966988547e-05,
|
| 1345 |
+
"loss": 0.2698,
|
| 1346 |
+
"step": 1910
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.6144,
|
| 1350 |
+
"grad_norm": 9.999999046325684,
|
| 1351 |
+
"learning_rate": 8.370761284527285e-05,
|
| 1352 |
+
"loss": 0.2678,
|
| 1353 |
+
"step": 1920
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.6176,
|
| 1357 |
+
"grad_norm": 10.0,
|
| 1358 |
+
"learning_rate": 8.3595328991691e-05,
|
| 1359 |
+
"loss": 0.2741,
|
| 1360 |
+
"step": 1930
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.6208,
|
| 1364 |
+
"grad_norm": 10.0,
|
| 1365 |
+
"learning_rate": 8.348304513810914e-05,
|
| 1366 |
+
"loss": 0.2475,
|
| 1367 |
+
"step": 1940
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.624,
|
| 1371 |
+
"grad_norm": 9.999999046325684,
|
| 1372 |
+
"learning_rate": 8.337076128452729e-05,
|
| 1373 |
+
"loss": 0.2711,
|
| 1374 |
+
"step": 1950
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.6272,
|
| 1378 |
+
"grad_norm": 10.0,
|
| 1379 |
+
"learning_rate": 8.325847743094544e-05,
|
| 1380 |
+
"loss": 0.2592,
|
| 1381 |
+
"step": 1960
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.6304,
|
| 1385 |
+
"grad_norm": 9.999999046325684,
|
| 1386 |
+
"learning_rate": 8.314619357736358e-05,
|
| 1387 |
+
"loss": 0.2348,
|
| 1388 |
+
"step": 1970
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.6336,
|
| 1392 |
+
"grad_norm": 7.087158679962158,
|
| 1393 |
+
"learning_rate": 8.303390972378173e-05,
|
| 1394 |
+
"loss": 0.2185,
|
| 1395 |
+
"step": 1980
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.6368,
|
| 1399 |
+
"grad_norm": 6.557620048522949,
|
| 1400 |
+
"learning_rate": 8.292162587019986e-05,
|
| 1401 |
+
"loss": 0.2443,
|
| 1402 |
+
"step": 1990
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.64,
|
| 1406 |
+
"grad_norm": 9.999999046325684,
|
| 1407 |
+
"learning_rate": 8.280934201661802e-05,
|
| 1408 |
+
"loss": 0.2012,
|
| 1409 |
+
"step": 2000
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.6432,
|
| 1413 |
+
"grad_norm": 8.828990936279297,
|
| 1414 |
+
"learning_rate": 8.269705816303615e-05,
|
| 1415 |
+
"loss": 0.1992,
|
| 1416 |
+
"step": 2010
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.6464,
|
| 1420 |
+
"grad_norm": 9.999998092651367,
|
| 1421 |
+
"learning_rate": 8.25847743094543e-05,
|
| 1422 |
+
"loss": 0.2005,
|
| 1423 |
+
"step": 2020
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.6496,
|
| 1427 |
+
"grad_norm": 10.0,
|
| 1428 |
+
"learning_rate": 8.247249045587245e-05,
|
| 1429 |
+
"loss": 0.2244,
|
| 1430 |
+
"step": 2030
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.6528,
|
| 1434 |
+
"grad_norm": 10.0,
|
| 1435 |
+
"learning_rate": 8.236020660229059e-05,
|
| 1436 |
+
"loss": 0.3351,
|
| 1437 |
+
"step": 2040
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.656,
|
| 1441 |
+
"grad_norm": 10.0,
|
| 1442 |
+
"learning_rate": 8.224792274870874e-05,
|
| 1443 |
+
"loss": 0.3391,
|
| 1444 |
+
"step": 2050
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.6592,
|
| 1448 |
+
"grad_norm": 9.999998092651367,
|
| 1449 |
+
"learning_rate": 8.213563889512689e-05,
|
| 1450 |
+
"loss": 0.2319,
|
| 1451 |
+
"step": 2060
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.6624,
|
| 1455 |
+
"grad_norm": 10.0,
|
| 1456 |
+
"learning_rate": 8.202335504154503e-05,
|
| 1457 |
+
"loss": 0.2222,
|
| 1458 |
+
"step": 2070
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.6656,
|
| 1462 |
+
"grad_norm": 8.043660163879395,
|
| 1463 |
+
"learning_rate": 8.191107118796317e-05,
|
| 1464 |
+
"loss": 0.1829,
|
| 1465 |
+
"step": 2080
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.6688,
|
| 1469 |
+
"grad_norm": 5.343007564544678,
|
| 1470 |
+
"learning_rate": 8.179878733438132e-05,
|
| 1471 |
+
"loss": 0.1756,
|
| 1472 |
+
"step": 2090
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.672,
|
| 1476 |
+
"grad_norm": 3.530430316925049,
|
| 1477 |
+
"learning_rate": 8.168650348079947e-05,
|
| 1478 |
+
"loss": 0.1959,
|
| 1479 |
+
"step": 2100
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.6752,
|
| 1483 |
+
"grad_norm": 9.999999046325684,
|
| 1484 |
+
"learning_rate": 8.15742196272176e-05,
|
| 1485 |
+
"loss": 0.178,
|
| 1486 |
+
"step": 2110
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.6784,
|
| 1490 |
+
"grad_norm": 10.0,
|
| 1491 |
+
"learning_rate": 8.146193577363576e-05,
|
| 1492 |
+
"loss": 0.1867,
|
| 1493 |
+
"step": 2120
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.6816,
|
| 1497 |
+
"grad_norm": 8.584357261657715,
|
| 1498 |
+
"learning_rate": 8.13496519200539e-05,
|
| 1499 |
+
"loss": 0.1832,
|
| 1500 |
+
"step": 2130
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.6848,
|
| 1504 |
+
"grad_norm": 4.891357421875,
|
| 1505 |
+
"learning_rate": 8.123736806647204e-05,
|
| 1506 |
+
"loss": 0.1771,
|
| 1507 |
+
"step": 2140
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.688,
|
| 1511 |
+
"grad_norm": 5.522593021392822,
|
| 1512 |
+
"learning_rate": 8.11250842128902e-05,
|
| 1513 |
+
"loss": 0.1527,
|
| 1514 |
+
"step": 2150
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.6912,
|
| 1518 |
+
"grad_norm": 9.386947631835938,
|
| 1519 |
+
"learning_rate": 8.101280035930835e-05,
|
| 1520 |
+
"loss": 0.1769,
|
| 1521 |
+
"step": 2160
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.6944,
|
| 1525 |
+
"grad_norm": 10.0,
|
| 1526 |
+
"learning_rate": 8.090051650572648e-05,
|
| 1527 |
+
"loss": 0.1889,
|
| 1528 |
+
"step": 2170
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.6976,
|
| 1532 |
+
"grad_norm": 9.999999046325684,
|
| 1533 |
+
"learning_rate": 8.078823265214462e-05,
|
| 1534 |
+
"loss": 0.1827,
|
| 1535 |
+
"step": 2180
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.7008,
|
| 1539 |
+
"grad_norm": 9.999999046325684,
|
| 1540 |
+
"learning_rate": 8.067594879856277e-05,
|
| 1541 |
+
"loss": 0.2055,
|
| 1542 |
+
"step": 2190
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.704,
|
| 1546 |
+
"grad_norm": 9.999998092651367,
|
| 1547 |
+
"learning_rate": 8.056366494498092e-05,
|
| 1548 |
+
"loss": 0.1802,
|
| 1549 |
+
"step": 2200
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.7072,
|
| 1553 |
+
"grad_norm": 9.999999046325684,
|
| 1554 |
+
"learning_rate": 8.045138109139906e-05,
|
| 1555 |
+
"loss": 0.1706,
|
| 1556 |
+
"step": 2210
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.7104,
|
| 1560 |
+
"grad_norm": 3.970720052719116,
|
| 1561 |
+
"learning_rate": 8.033909723781721e-05,
|
| 1562 |
+
"loss": 0.1604,
|
| 1563 |
+
"step": 2220
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.7136,
|
| 1567 |
+
"grad_norm": 3.6069769859313965,
|
| 1568 |
+
"learning_rate": 8.022681338423536e-05,
|
| 1569 |
+
"loss": 0.1453,
|
| 1570 |
+
"step": 2230
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.7168,
|
| 1574 |
+
"grad_norm": 3.9357783794403076,
|
| 1575 |
+
"learning_rate": 8.01145295306535e-05,
|
| 1576 |
+
"loss": 0.1516,
|
| 1577 |
+
"step": 2240
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.72,
|
| 1581 |
+
"grad_norm": 5.958951950073242,
|
| 1582 |
+
"learning_rate": 8.000224567707165e-05,
|
| 1583 |
+
"loss": 0.1512,
|
| 1584 |
+
"step": 2250
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.7232,
|
| 1588 |
+
"grad_norm": 9.320231437683105,
|
| 1589 |
+
"learning_rate": 7.988996182348978e-05,
|
| 1590 |
+
"loss": 0.1642,
|
| 1591 |
+
"step": 2260
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.7264,
|
| 1595 |
+
"grad_norm": 4.681884765625,
|
| 1596 |
+
"learning_rate": 7.977767796990792e-05,
|
| 1597 |
+
"loss": 0.1613,
|
| 1598 |
+
"step": 2270
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.7296,
|
| 1602 |
+
"grad_norm": 7.769372940063477,
|
| 1603 |
+
"learning_rate": 7.966539411632607e-05,
|
| 1604 |
+
"loss": 0.1544,
|
| 1605 |
+
"step": 2280
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.7328,
|
| 1609 |
+
"grad_norm": 4.547751426696777,
|
| 1610 |
+
"learning_rate": 7.955311026274422e-05,
|
| 1611 |
+
"loss": 0.1636,
|
| 1612 |
+
"step": 2290
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.736,
|
| 1616 |
+
"grad_norm": 8.214717864990234,
|
| 1617 |
+
"learning_rate": 7.944082640916236e-05,
|
| 1618 |
+
"loss": 0.1372,
|
| 1619 |
+
"step": 2300
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.7392,
|
| 1623 |
+
"grad_norm": 7.887718677520752,
|
| 1624 |
+
"learning_rate": 7.932854255558051e-05,
|
| 1625 |
+
"loss": 0.158,
|
| 1626 |
+
"step": 2310
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.7424,
|
| 1630 |
+
"grad_norm": 9.999999046325684,
|
| 1631 |
+
"learning_rate": 7.921625870199866e-05,
|
| 1632 |
+
"loss": 0.1611,
|
| 1633 |
+
"step": 2320
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.7456,
|
| 1637 |
+
"grad_norm": 3.0139806270599365,
|
| 1638 |
+
"learning_rate": 7.910397484841681e-05,
|
| 1639 |
+
"loss": 0.1584,
|
| 1640 |
+
"step": 2330
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.7488,
|
| 1644 |
+
"grad_norm": 5.308823585510254,
|
| 1645 |
+
"learning_rate": 7.899169099483495e-05,
|
| 1646 |
+
"loss": 0.1489,
|
| 1647 |
+
"step": 2340
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.752,
|
| 1651 |
+
"grad_norm": 1.894464373588562,
|
| 1652 |
+
"learning_rate": 7.887940714125309e-05,
|
| 1653 |
+
"loss": 0.1335,
|
| 1654 |
+
"step": 2350
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.7552,
|
| 1658 |
+
"grad_norm": 8.55656909942627,
|
| 1659 |
+
"learning_rate": 7.876712328767124e-05,
|
| 1660 |
+
"loss": 0.1363,
|
| 1661 |
+
"step": 2360
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.7584,
|
| 1665 |
+
"grad_norm": 7.630896091461182,
|
| 1666 |
+
"learning_rate": 7.865483943408937e-05,
|
| 1667 |
+
"loss": 0.1398,
|
| 1668 |
+
"step": 2370
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.7616,
|
| 1672 |
+
"grad_norm": 9.361071586608887,
|
| 1673 |
+
"learning_rate": 7.854255558050752e-05,
|
| 1674 |
+
"loss": 0.1307,
|
| 1675 |
+
"step": 2380
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.7648,
|
| 1679 |
+
"grad_norm": 3.613555431365967,
|
| 1680 |
+
"learning_rate": 7.843027172692568e-05,
|
| 1681 |
+
"loss": 0.1461,
|
| 1682 |
+
"step": 2390
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.768,
|
| 1686 |
+
"grad_norm": 4.020608901977539,
|
| 1687 |
+
"learning_rate": 7.831798787334381e-05,
|
| 1688 |
+
"loss": 0.1432,
|
| 1689 |
+
"step": 2400
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.7712,
|
| 1693 |
+
"grad_norm": 6.401773452758789,
|
| 1694 |
+
"learning_rate": 7.820570401976196e-05,
|
| 1695 |
+
"loss": 0.1396,
|
| 1696 |
+
"step": 2410
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.7744,
|
| 1700 |
+
"grad_norm": 6.332232475280762,
|
| 1701 |
+
"learning_rate": 7.809342016618011e-05,
|
| 1702 |
+
"loss": 0.1355,
|
| 1703 |
+
"step": 2420
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.7776,
|
| 1707 |
+
"grad_norm": 2.399341344833374,
|
| 1708 |
+
"learning_rate": 7.798113631259825e-05,
|
| 1709 |
+
"loss": 0.1416,
|
| 1710 |
+
"step": 2430
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.7808,
|
| 1714 |
+
"grad_norm": 5.8365654945373535,
|
| 1715 |
+
"learning_rate": 7.78688524590164e-05,
|
| 1716 |
+
"loss": 0.1265,
|
| 1717 |
+
"step": 2440
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.784,
|
| 1721 |
+
"grad_norm": 10.0,
|
| 1722 |
+
"learning_rate": 7.775656860543454e-05,
|
| 1723 |
+
"loss": 0.6647,
|
| 1724 |
+
"step": 2450
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.7872,
|
| 1728 |
+
"grad_norm": 5.435879230499268,
|
| 1729 |
+
"learning_rate": 7.764428475185269e-05,
|
| 1730 |
+
"loss": 0.1334,
|
| 1731 |
+
"step": 2460
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.7904,
|
| 1735 |
+
"grad_norm": 10.0,
|
| 1736 |
+
"learning_rate": 7.753200089827083e-05,
|
| 1737 |
+
"loss": 0.1284,
|
| 1738 |
+
"step": 2470
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.7936,
|
| 1742 |
+
"grad_norm": 7.202799320220947,
|
| 1743 |
+
"learning_rate": 7.741971704468898e-05,
|
| 1744 |
+
"loss": 0.1369,
|
| 1745 |
+
"step": 2480
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.7968,
|
| 1749 |
+
"grad_norm": 2.0989317893981934,
|
| 1750 |
+
"learning_rate": 7.730743319110713e-05,
|
| 1751 |
+
"loss": 0.1105,
|
| 1752 |
+
"step": 2490
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.8,
|
| 1756 |
+
"grad_norm": 4.924466609954834,
|
| 1757 |
+
"learning_rate": 7.719514933752526e-05,
|
| 1758 |
+
"loss": 0.1226,
|
| 1759 |
+
"step": 2500
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.8032,
|
| 1763 |
+
"grad_norm": 7.978616714477539,
|
| 1764 |
+
"learning_rate": 7.708286548394342e-05,
|
| 1765 |
+
"loss": 0.1089,
|
| 1766 |
+
"step": 2510
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.8064,
|
| 1770 |
+
"grad_norm": 4.150684356689453,
|
| 1771 |
+
"learning_rate": 7.697058163036157e-05,
|
| 1772 |
+
"loss": 0.1234,
|
| 1773 |
+
"step": 2520
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.8096,
|
| 1777 |
+
"grad_norm": 4.818097114562988,
|
| 1778 |
+
"learning_rate": 7.68582977767797e-05,
|
| 1779 |
+
"loss": 0.1188,
|
| 1780 |
+
"step": 2530
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.8128,
|
| 1784 |
+
"grad_norm": 2.5419697761535645,
|
| 1785 |
+
"learning_rate": 7.674601392319784e-05,
|
| 1786 |
+
"loss": 0.113,
|
| 1787 |
+
"step": 2540
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.816,
|
| 1791 |
+
"grad_norm": 5.721562385559082,
|
| 1792 |
+
"learning_rate": 7.663373006961599e-05,
|
| 1793 |
+
"loss": 0.109,
|
| 1794 |
+
"step": 2550
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.8192,
|
| 1798 |
+
"grad_norm": 2.7478086948394775,
|
| 1799 |
+
"learning_rate": 7.652144621603414e-05,
|
| 1800 |
+
"loss": 0.101,
|
| 1801 |
+
"step": 2560
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.8224,
|
| 1805 |
+
"grad_norm": 9.692163467407227,
|
| 1806 |
+
"learning_rate": 7.640916236245228e-05,
|
| 1807 |
+
"loss": 0.1156,
|
| 1808 |
+
"step": 2570
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.8256,
|
| 1812 |
+
"grad_norm": 6.791487693786621,
|
| 1813 |
+
"learning_rate": 7.629687850887043e-05,
|
| 1814 |
+
"loss": 0.12,
|
| 1815 |
+
"step": 2580
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.8288,
|
| 1819 |
+
"grad_norm": 4.655740261077881,
|
| 1820 |
+
"learning_rate": 7.618459465528858e-05,
|
| 1821 |
+
"loss": 0.114,
|
| 1822 |
+
"step": 2590
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.832,
|
| 1826 |
+
"grad_norm": 2.558154344558716,
|
| 1827 |
+
"learning_rate": 7.607231080170672e-05,
|
| 1828 |
+
"loss": 0.102,
|
| 1829 |
+
"step": 2600
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.8352,
|
| 1833 |
+
"grad_norm": 5.348006725311279,
|
| 1834 |
+
"learning_rate": 7.596002694812487e-05,
|
| 1835 |
+
"loss": 0.156,
|
| 1836 |
+
"step": 2610
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.8384,
|
| 1840 |
+
"grad_norm": 4.152245044708252,
|
| 1841 |
+
"learning_rate": 7.5847743094543e-05,
|
| 1842 |
+
"loss": 0.1256,
|
| 1843 |
+
"step": 2620
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.8416,
|
| 1847 |
+
"grad_norm": 6.711794853210449,
|
| 1848 |
+
"learning_rate": 7.573545924096114e-05,
|
| 1849 |
+
"loss": 0.1184,
|
| 1850 |
+
"step": 2630
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.8448,
|
| 1854 |
+
"grad_norm": 6.55480432510376,
|
| 1855 |
+
"learning_rate": 7.562317538737929e-05,
|
| 1856 |
+
"loss": 0.1253,
|
| 1857 |
+
"step": 2640
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.848,
|
| 1861 |
+
"grad_norm": 6.035834312438965,
|
| 1862 |
+
"learning_rate": 7.551089153379744e-05,
|
| 1863 |
+
"loss": 0.125,
|
| 1864 |
+
"step": 2650
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.8512,
|
| 1868 |
+
"grad_norm": 7.503954887390137,
|
| 1869 |
+
"learning_rate": 7.53986076802156e-05,
|
| 1870 |
+
"loss": 0.1068,
|
| 1871 |
+
"step": 2660
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.8544,
|
| 1875 |
+
"grad_norm": 4.4410271644592285,
|
| 1876 |
+
"learning_rate": 7.528632382663373e-05,
|
| 1877 |
+
"loss": 0.1137,
|
| 1878 |
+
"step": 2670
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.8576,
|
| 1882 |
+
"grad_norm": 4.127198696136475,
|
| 1883 |
+
"learning_rate": 7.517403997305188e-05,
|
| 1884 |
+
"loss": 0.1127,
|
| 1885 |
+
"step": 2680
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.8608,
|
| 1889 |
+
"grad_norm": 3.0780539512634277,
|
| 1890 |
+
"learning_rate": 7.506175611947003e-05,
|
| 1891 |
+
"loss": 0.1009,
|
| 1892 |
+
"step": 2690
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.864,
|
| 1896 |
+
"grad_norm": 8.409754753112793,
|
| 1897 |
+
"learning_rate": 7.494947226588817e-05,
|
| 1898 |
+
"loss": 0.1017,
|
| 1899 |
+
"step": 2700
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.8672,
|
| 1903 |
+
"grad_norm": 4.118874549865723,
|
| 1904 |
+
"learning_rate": 7.483718841230631e-05,
|
| 1905 |
+
"loss": 0.1,
|
| 1906 |
+
"step": 2710
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.8704,
|
| 1910 |
+
"grad_norm": 2.367293357849121,
|
| 1911 |
+
"learning_rate": 7.472490455872446e-05,
|
| 1912 |
+
"loss": 0.1019,
|
| 1913 |
+
"step": 2720
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.8736,
|
| 1917 |
+
"grad_norm": 5.165258884429932,
|
| 1918 |
+
"learning_rate": 7.46126207051426e-05,
|
| 1919 |
+
"loss": 0.0891,
|
| 1920 |
+
"step": 2730
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.8768,
|
| 1924 |
+
"grad_norm": 1.9673935174942017,
|
| 1925 |
+
"learning_rate": 7.450033685156075e-05,
|
| 1926 |
+
"loss": 0.0869,
|
| 1927 |
+
"step": 2740
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.88,
|
| 1931 |
+
"grad_norm": 4.972908020019531,
|
| 1932 |
+
"learning_rate": 7.43880529979789e-05,
|
| 1933 |
+
"loss": 0.0894,
|
| 1934 |
+
"step": 2750
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.8832,
|
| 1938 |
+
"grad_norm": 4.128866195678711,
|
| 1939 |
+
"learning_rate": 7.427576914439703e-05,
|
| 1940 |
+
"loss": 0.0888,
|
| 1941 |
+
"step": 2760
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.8864,
|
| 1945 |
+
"grad_norm": 1.7406138181686401,
|
| 1946 |
+
"learning_rate": 7.416348529081518e-05,
|
| 1947 |
+
"loss": 0.0876,
|
| 1948 |
+
"step": 2770
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.8896,
|
| 1952 |
+
"grad_norm": 1.7218992710113525,
|
| 1953 |
+
"learning_rate": 7.405120143723333e-05,
|
| 1954 |
+
"loss": 0.0925,
|
| 1955 |
+
"step": 2780
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.8928,
|
| 1959 |
+
"grad_norm": 2.668508768081665,
|
| 1960 |
+
"learning_rate": 7.393891758365149e-05,
|
| 1961 |
+
"loss": 0.0872,
|
| 1962 |
+
"step": 2790
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.896,
|
| 1966 |
+
"grad_norm": 5.266975402832031,
|
| 1967 |
+
"learning_rate": 7.382663373006962e-05,
|
| 1968 |
+
"loss": 0.083,
|
| 1969 |
+
"step": 2800
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.8992,
|
| 1973 |
+
"grad_norm": 2.1134185791015625,
|
| 1974 |
+
"learning_rate": 7.371434987648776e-05,
|
| 1975 |
+
"loss": 0.0871,
|
| 1976 |
+
"step": 2810
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.9024,
|
| 1980 |
+
"grad_norm": 4.195724010467529,
|
| 1981 |
+
"learning_rate": 7.360206602290591e-05,
|
| 1982 |
+
"loss": 0.0941,
|
| 1983 |
+
"step": 2820
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.9056,
|
| 1987 |
+
"grad_norm": 2.4259421825408936,
|
| 1988 |
+
"learning_rate": 7.348978216932405e-05,
|
| 1989 |
+
"loss": 0.0937,
|
| 1990 |
+
"step": 2830
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.9088,
|
| 1994 |
+
"grad_norm": 2.7671356201171875,
|
| 1995 |
+
"learning_rate": 7.33774983157422e-05,
|
| 1996 |
+
"loss": 0.095,
|
| 1997 |
+
"step": 2840
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.912,
|
| 2001 |
+
"grad_norm": 6.370889663696289,
|
| 2002 |
+
"learning_rate": 7.326521446216035e-05,
|
| 2003 |
+
"loss": 0.0826,
|
| 2004 |
+
"step": 2850
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.9152,
|
| 2008 |
+
"grad_norm": 6.082813739776611,
|
| 2009 |
+
"learning_rate": 7.315293060857849e-05,
|
| 2010 |
+
"loss": 0.0891,
|
| 2011 |
+
"step": 2860
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.9184,
|
| 2015 |
+
"grad_norm": 4.761292934417725,
|
| 2016 |
+
"learning_rate": 7.304064675499664e-05,
|
| 2017 |
+
"loss": 0.0905,
|
| 2018 |
+
"step": 2870
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.9216,
|
| 2022 |
+
"grad_norm": 3.1539108753204346,
|
| 2023 |
+
"learning_rate": 7.292836290141479e-05,
|
| 2024 |
+
"loss": 0.0836,
|
| 2025 |
+
"step": 2880
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.9248,
|
| 2029 |
+
"grad_norm": 3.095581531524658,
|
| 2030 |
+
"learning_rate": 7.281607904783292e-05,
|
| 2031 |
+
"loss": 0.0782,
|
| 2032 |
+
"step": 2890
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.928,
|
| 2036 |
+
"grad_norm": 2.6302435398101807,
|
| 2037 |
+
"learning_rate": 7.270379519425106e-05,
|
| 2038 |
+
"loss": 0.0844,
|
| 2039 |
+
"step": 2900
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.9312,
|
| 2043 |
+
"grad_norm": 4.609825134277344,
|
| 2044 |
+
"learning_rate": 7.259151134066921e-05,
|
| 2045 |
+
"loss": 0.0773,
|
| 2046 |
+
"step": 2910
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.9344,
|
| 2050 |
+
"grad_norm": 6.823300361633301,
|
| 2051 |
+
"learning_rate": 7.247922748708736e-05,
|
| 2052 |
+
"loss": 0.0811,
|
| 2053 |
+
"step": 2920
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.9376,
|
| 2057 |
+
"grad_norm": 2.5662624835968018,
|
| 2058 |
+
"learning_rate": 7.23669436335055e-05,
|
| 2059 |
+
"loss": 0.0751,
|
| 2060 |
+
"step": 2930
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.9408,
|
| 2064 |
+
"grad_norm": 1.9695119857788086,
|
| 2065 |
+
"learning_rate": 7.225465977992365e-05,
|
| 2066 |
+
"loss": 0.087,
|
| 2067 |
+
"step": 2940
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.944,
|
| 2071 |
+
"grad_norm": 3.3225550651550293,
|
| 2072 |
+
"learning_rate": 7.21423759263418e-05,
|
| 2073 |
+
"loss": 0.0825,
|
| 2074 |
+
"step": 2950
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.9472,
|
| 2078 |
+
"grad_norm": 3.849437713623047,
|
| 2079 |
+
"learning_rate": 7.203009207275994e-05,
|
| 2080 |
+
"loss": 0.0767,
|
| 2081 |
+
"step": 2960
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.9504,
|
| 2085 |
+
"grad_norm": 1.750457525253296,
|
| 2086 |
+
"learning_rate": 7.191780821917809e-05,
|
| 2087 |
+
"loss": 0.0882,
|
| 2088 |
+
"step": 2970
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.9536,
|
| 2092 |
+
"grad_norm": 6.477813243865967,
|
| 2093 |
+
"learning_rate": 7.180552436559623e-05,
|
| 2094 |
+
"loss": 0.0919,
|
| 2095 |
+
"step": 2980
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.9568,
|
| 2099 |
+
"grad_norm": 1.4271601438522339,
|
| 2100 |
+
"learning_rate": 7.169324051201438e-05,
|
| 2101 |
+
"loss": 0.0804,
|
| 2102 |
+
"step": 2990
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.96,
|
| 2106 |
+
"grad_norm": 7.061021327972412,
|
| 2107 |
+
"learning_rate": 7.158095665843251e-05,
|
| 2108 |
+
"loss": 0.0832,
|
| 2109 |
+
"step": 3000
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.9632,
|
| 2113 |
+
"grad_norm": 2.1753170490264893,
|
| 2114 |
+
"learning_rate": 7.146867280485066e-05,
|
| 2115 |
+
"loss": 0.0741,
|
| 2116 |
+
"step": 3010
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.9664,
|
| 2120 |
+
"grad_norm": 7.894692897796631,
|
| 2121 |
+
"learning_rate": 7.135638895126882e-05,
|
| 2122 |
+
"loss": 0.0723,
|
| 2123 |
+
"step": 3020
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.9696,
|
| 2127 |
+
"grad_norm": 2.4842376708984375,
|
| 2128 |
+
"learning_rate": 7.124410509768695e-05,
|
| 2129 |
+
"loss": 0.0746,
|
| 2130 |
+
"step": 3030
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.9728,
|
| 2134 |
+
"grad_norm": 4.693914413452148,
|
| 2135 |
+
"learning_rate": 7.11318212441051e-05,
|
| 2136 |
+
"loss": 0.0818,
|
| 2137 |
+
"step": 3040
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.976,
|
| 2141 |
+
"grad_norm": 3.4993011951446533,
|
| 2142 |
+
"learning_rate": 7.101953739052325e-05,
|
| 2143 |
+
"loss": 0.0743,
|
| 2144 |
+
"step": 3050
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 0.9792,
|
| 2148 |
+
"grad_norm": 2.4109108448028564,
|
| 2149 |
+
"learning_rate": 7.090725353694139e-05,
|
| 2150 |
+
"loss": 0.0698,
|
| 2151 |
+
"step": 3060
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 0.9824,
|
| 2155 |
+
"grad_norm": 3.363265037536621,
|
| 2156 |
+
"learning_rate": 7.079496968335954e-05,
|
| 2157 |
+
"loss": 0.076,
|
| 2158 |
+
"step": 3070
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.9856,
|
| 2162 |
+
"grad_norm": 4.7013959884643555,
|
| 2163 |
+
"learning_rate": 7.068268582977768e-05,
|
| 2164 |
+
"loss": 0.0801,
|
| 2165 |
+
"step": 3080
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.9888,
|
| 2169 |
+
"grad_norm": 1.858520269393921,
|
| 2170 |
+
"learning_rate": 7.057040197619582e-05,
|
| 2171 |
+
"loss": 0.0691,
|
| 2172 |
+
"step": 3090
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.992,
|
| 2176 |
+
"grad_norm": 2.71395206451416,
|
| 2177 |
+
"learning_rate": 7.045811812261397e-05,
|
| 2178 |
+
"loss": 0.0811,
|
| 2179 |
+
"step": 3100
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.9952,
|
| 2183 |
+
"grad_norm": 3.254763603210449,
|
| 2184 |
+
"learning_rate": 7.034583426903212e-05,
|
| 2185 |
+
"loss": 0.0772,
|
| 2186 |
+
"step": 3110
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.9984,
|
| 2190 |
+
"grad_norm": 6.519776821136475,
|
| 2191 |
+
"learning_rate": 7.023355041545027e-05,
|
| 2192 |
+
"loss": 0.0718,
|
| 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 sha256:97555f8ce3aa7913ee05adca8d58969542dca6efa4c6dcd6a6ea25e10d7fbbd0
|
| 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 sha256:689c64ef188fa74751e49b80968470e493c5588180844da5342020e2265c2c8a
|
| 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 sha256:40b6d520a4dfbd55f460e5a668a9110172c1747f47a389e7f0b4e99302f3d2cf
|
| 3 |
+
size 50372538
|
checkpoint-6250/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52fefebcb3a72d7a7a7ad505177d152a6c69b3050bea80f92945b4d318c2414f
|
| 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 sha256:97555f8ce3aa7913ee05adca8d58969542dca6efa4c6dcd6a6ea25e10d7fbbd0
|
| 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 sha256:4d1652c7a003dd8627cd4a9648e12d63c6d4c984d8c61b0fca89d4f8de2daeaf
|
| 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:bdbcab328afafac35d79fcaa42038bc7602d341850862f4f9908d9d0fa0e6547
|
| 3 |
+
size 50372538
|
checkpoint-9375/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50fdfeef75a872ba1bc02c850c42b1db8abc27c7b8844c939df6c63695af50cd
|
| 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 sha256:97555f8ce3aa7913ee05adca8d58969542dca6efa4c6dcd6a6ea25e10d7fbbd0
|
| 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 |
+
10,25.0099,10.000000953674316
|
| 3 |
+
20,21.1499,10.0
|
| 4 |
+
30,19.6111,9.999999046325684
|
| 5 |
+
40,22.3722,10.0
|
| 6 |
+
50,20.1462,9.999999046325684
|
| 7 |
+
60,20.4235,10.0
|
| 8 |
+
70,20.7853,10.0
|
| 9 |
+
80,19.5459,10.0
|
| 10 |
+
90,18.4778,9.999999046325684
|
| 11 |
+
100,16.2191,9.999999046325684
|
| 12 |
+
110,18.5773,10.0
|
| 13 |
+
120,15.9389,9.999999046325684
|
| 14 |
+
130,15.6064,10.0
|
| 15 |
+
140,15.6366,10.000000953674316
|
| 16 |
+
150,16.7232,10.000000953674316
|
| 17 |
+
160,13.2957,10.0
|
| 18 |
+
170,13.3429,10.0
|
| 19 |
+
180,13.3301,9.999999046325684
|
| 20 |
+
190,15.1708,10.000000953674316
|
| 21 |
+
200,14.8533,10.0
|
| 22 |
+
210,11.6389,10.0
|
| 23 |
+
220,12.2515,9.999999046325684
|
| 24 |
+
230,12.6637,10.0
|
| 25 |
+
240,10.6091,9.999999046325684
|
| 26 |
+
250,10.9362,9.999999046325684
|
| 27 |
+
260,12.4545,10.0
|
| 28 |
+
270,11.5238,10.000000953674316
|
| 29 |
+
280,10.8966,10.0
|
| 30 |
+
290,10.5903,10.0
|
| 31 |
+
300,10.4872,10.0
|
| 32 |
+
310,9.9663,10.0
|
| 33 |
+
320,9.4655,9.999999046325684
|
| 34 |
+
330,10.487,10.0
|
| 35 |
+
340,9.3626,10.000001907348633
|
| 36 |
+
350,9.864,10.0
|
| 37 |
+
360,8.8008,9.999999046325684
|
| 38 |
+
370,9.7772,10.0
|
| 39 |
+
380,8.7418,10.0
|
| 40 |
+
390,9.1157,9.999999046325684
|
| 41 |
+
400,8.1395,10.000000953674316
|
| 42 |
+
410,8.8305,10.0
|
| 43 |
+
420,9.2089,10.0
|
| 44 |
+
430,8.5206,10.000000953674316
|
| 45 |
+
440,8.8993,9.999999046325684
|
| 46 |
+
450,8.8173,10.0
|
| 47 |
+
460,8.3408,10.000000953674316
|
| 48 |
+
470,7.5853,10.0
|
| 49 |
+
480,7.4544,10.0
|
| 50 |
+
490,8.0499,10.000000953674316
|
| 51 |
+
500,8.2335,10.0
|
| 52 |
+
510,7.0574,10.0
|
| 53 |
+
520,6.8412,10.0
|
| 54 |
+
530,7.1418,10.0
|
| 55 |
+
540,7.1722,10.0
|
| 56 |
+
550,6.7641,10.0
|
| 57 |
+
560,6.3646,10.0
|
| 58 |
+
570,6.3469,10.0
|
| 59 |
+
580,6.38,10.0
|
| 60 |
+
590,5.8154,10.000000953674316
|
| 61 |
+
600,5.6794,10.000000953674316
|
| 62 |
+
610,5.4415,9.999999046325684
|
| 63 |
+
620,4.7814,10.0
|
| 64 |
+
630,4.8304,10.000000953674316
|
| 65 |
+
640,4.9017,10.0
|
| 66 |
+
650,4.5826,10.0
|
| 67 |
+
660,4.4032,10.0
|
| 68 |
+
670,4.4789,10.0
|
| 69 |
+
680,3.5318,10.000000953674316
|
| 70 |
+
690,3.9803,10.000000953674316
|
| 71 |
+
700,3.3411,10.0
|
| 72 |
+
710,3.8421,10.0
|
| 73 |
+
720,3.8598,10.000000953674316
|
| 74 |
+
730,3.6175,9.999999046325684
|
| 75 |
+
740,3.3833,9.999999046325684
|
| 76 |
+
750,3.1501,10.0
|
| 77 |
+
760,3.2144,10.0
|
| 78 |
+
770,3.1372,10.0
|
| 79 |
+
780,2.728,10.0
|
| 80 |
+
790,2.7485,10.0
|
| 81 |
+
800,2.7431,10.000000953674316
|
| 82 |
+
810,2.534,10.0
|
| 83 |
+
820,2.6129,10.0
|
| 84 |
+
830,2.6607,10.0
|
| 85 |
+
840,2.5158,9.999999046325684
|
| 86 |
+
850,2.2633,9.999999046325684
|
| 87 |
+
860,2.4407,10.0
|
| 88 |
+
870,2.1584,9.999999046325684
|
| 89 |
+
880,2.1552,10.0
|
| 90 |
+
890,1.8968,10.000000953674316
|
| 91 |
+
900,1.9182,9.999999046325684
|
| 92 |
+
910,1.9413,10.0
|
| 93 |
+
920,1.8959,10.0
|
| 94 |
+
930,1.9225,10.0
|
| 95 |
+
940,1.8802,10.0
|
| 96 |
+
950,1.8896,9.999999046325684
|
| 97 |
+
960,1.7142,10.0
|
| 98 |
+
970,1.6888,10.0
|
| 99 |
+
980,1.6177,10.0
|
| 100 |
+
990,1.645,10.0
|
| 101 |
+
1000,1.6792,10.0
|
| 102 |
+
1010,1.8599,10.0
|
| 103 |
+
1020,1.6779,10.0
|
| 104 |
+
1030,1.4669,9.999999046325684
|
| 105 |
+
1040,1.3649,10.0
|
| 106 |
+
1050,1.3987,10.0
|
| 107 |
+
1060,1.2421,9.999998092651367
|
| 108 |
+
1070,1.3011,9.999998092651367
|
| 109 |
+
1080,1.2287,9.999999046325684
|
| 110 |
+
1090,1.1587,10.0
|
| 111 |
+
1100,1.2415,10.0
|
| 112 |
+
1110,1.1415,10.0
|
| 113 |
+
1120,1.1941,9.999998092651367
|
| 114 |
+
1130,1.1668,10.0
|
| 115 |
+
1140,1.0887,10.000000953674316
|
| 116 |
+
1150,1.0604,9.999998092651367
|
| 117 |
+
1160,0.9446,9.999999046325684
|
| 118 |
+
1170,0.9737,9.999999046325684
|
| 119 |
+
1180,0.9654,10.0
|
| 120 |
+
1190,1.0253,10.000000953674316
|
| 121 |
+
1200,0.8597,9.999999046325684
|
| 122 |
+
1210,0.8202,9.999998092651367
|
| 123 |
+
1220,0.8386,9.999999046325684
|
| 124 |
+
1230,0.8318,9.999999046325684
|
| 125 |
+
1240,0.8571,10.0
|
| 126 |
+
1250,0.8326,9.999999046325684
|
| 127 |
+
1260,0.7655,9.999999046325684
|
| 128 |
+
1270,0.747,10.0
|
| 129 |
+
1280,0.8671,10.0
|
| 130 |
+
1290,0.8758,9.999999046325684
|
| 131 |
+
1300,0.8714,10.000000953674316
|
| 132 |
+
1310,0.8022,9.999999046325684
|
| 133 |
+
1320,0.7234,8.615378379821777
|
| 134 |
+
1330,0.7416,10.0
|
| 135 |
+
1340,0.6898,10.0
|
| 136 |
+
1350,0.6261,9.999999046325684
|
| 137 |
+
1360,0.6267,10.0
|
| 138 |
+
1370,0.6171,9.999999046325684
|
| 139 |
+
1380,0.5677,9.999998092651367
|
| 140 |
+
1390,0.5227,9.999999046325684
|
| 141 |
+
1400,0.5775,9.999999046325684
|
| 142 |
+
1410,0.6166,9.999998092651367
|
| 143 |
+
1420,0.6165,10.0
|
| 144 |
+
1430,0.5849,9.999999046325684
|
| 145 |
+
1440,0.6439,10.0
|
| 146 |
+
1450,0.5886,9.999998092651367
|
| 147 |
+
1460,0.5935,9.999999046325684
|
| 148 |
+
1470,0.5868,10.0
|
| 149 |
+
1480,0.5489,9.999998092651367
|
| 150 |
+
1490,0.5106,10.0
|
| 151 |
+
1500,0.4885,9.999999046325684
|
| 152 |
+
1510,0.5323,9.999999046325684
|
| 153 |
+
1520,0.4359,9.999999046325684
|
| 154 |
+
1530,0.4789,7.423900604248047
|
| 155 |
+
1540,0.4367,9.999998092651367
|
| 156 |
+
1550,0.465,7.3594489097595215
|
| 157 |
+
1560,0.4244,9.999998092651367
|
| 158 |
+
1570,0.4311,10.0
|
| 159 |
+
1580,0.4787,9.999999046325684
|
| 160 |
+
1590,0.4777,9.999999046325684
|
| 161 |
+
1600,0.469,10.0
|
| 162 |
+
1610,0.4519,10.0
|
| 163 |
+
1620,0.4084,9.999998092651367
|
| 164 |
+
1630,0.3627,9.999998092651367
|
| 165 |
+
1640,0.3742,8.502776145935059
|
| 166 |
+
1650,0.3525,10.0
|
| 167 |
+
1660,0.3889,9.999999046325684
|
| 168 |
+
1670,0.5584,10.0
|
| 169 |
+
1680,0.3988,9.999999046325684
|
| 170 |
+
1690,0.3439,8.782861709594727
|
| 171 |
+
1700,0.3265,8.174032211303711
|
| 172 |
+
1710,0.329,4.737403392791748
|
| 173 |
+
1720,0.3093,9.999999046325684
|
| 174 |
+
1730,0.3119,10.0
|
| 175 |
+
1740,0.3227,10.0
|
| 176 |
+
1750,0.2979,9.882418632507324
|
| 177 |
+
1760,0.2693,9.999998092651367
|
| 178 |
+
1770,0.3187,9.999999046325684
|
| 179 |
+
1780,0.291,9.999999046325684
|
| 180 |
+
1790,0.2833,7.839264869689941
|
| 181 |
+
1800,0.2525,4.611258029937744
|
| 182 |
+
1810,0.2727,4.125186443328857
|
| 183 |
+
1820,0.2718,9.999999046325684
|
| 184 |
+
1830,0.2787,9.999999046325684
|
| 185 |
+
1840,0.2903,4.507540225982666
|
| 186 |
+
1850,0.2821,8.763723373413086
|
| 187 |
+
1860,0.2469,6.04974365234375
|
| 188 |
+
1870,0.2389,9.999998092651367
|
| 189 |
+
1880,0.2749,10.0
|
| 190 |
+
1890,0.2829,10.0
|
| 191 |
+
1900,0.2725,9.99999713897705
|
| 192 |
+
1910,0.2698,10.000001907348633
|
| 193 |
+
1920,0.2678,9.999999046325684
|
| 194 |
+
1930,0.2741,10.0
|
| 195 |
+
1940,0.2475,10.0
|
| 196 |
+
1950,0.2711,9.999999046325684
|
| 197 |
+
1960,0.2592,10.0
|
| 198 |
+
1970,0.2348,9.999999046325684
|
| 199 |
+
1980,0.2185,7.087158679962158
|
| 200 |
+
1990,0.2443,6.557620048522949
|
| 201 |
+
2000,0.2012,9.999999046325684
|
| 202 |
+
2010,0.1992,8.828990936279297
|
| 203 |
+
2020,0.2005,9.999998092651367
|
| 204 |
+
2030,0.2244,10.0
|
| 205 |
+
2040,0.3351,10.0
|
| 206 |
+
2050,0.3391,10.0
|
| 207 |
+
2060,0.2319,9.999998092651367
|
| 208 |
+
2070,0.2222,10.0
|
| 209 |
+
2080,0.1829,8.043660163879395
|
| 210 |
+
2090,0.1756,5.343007564544678
|
| 211 |
+
2100,0.1959,3.530430316925049
|
| 212 |
+
2110,0.178,9.999999046325684
|
| 213 |
+
2120,0.1867,10.0
|
| 214 |
+
2130,0.1832,8.584357261657715
|
| 215 |
+
2140,0.1771,4.891357421875
|
| 216 |
+
2150,0.1527,5.522593021392822
|
| 217 |
+
2160,0.1769,9.386947631835938
|
| 218 |
+
2170,0.1889,10.0
|
| 219 |
+
2180,0.1827,9.999999046325684
|
| 220 |
+
2190,0.2055,9.999999046325684
|
| 221 |
+
2200,0.1802,9.999998092651367
|
| 222 |
+
2210,0.1706,9.999999046325684
|
| 223 |
+
2220,0.1604,3.970720052719116
|
| 224 |
+
2230,0.1453,3.6069769859313965
|
| 225 |
+
2240,0.1516,3.9357783794403076
|
| 226 |
+
2250,0.1512,5.958951950073242
|
| 227 |
+
2260,0.1642,9.320231437683105
|
| 228 |
+
2270,0.1613,4.681884765625
|
| 229 |
+
2280,0.1544,7.769372940063477
|
| 230 |
+
2290,0.1636,4.547751426696777
|
| 231 |
+
2300,0.1372,8.214717864990234
|
| 232 |
+
2310,0.158,7.887718677520752
|
| 233 |
+
2320,0.1611,9.999999046325684
|
| 234 |
+
2330,0.1584,3.0139806270599365
|
| 235 |
+
2340,0.1489,5.308823585510254
|
| 236 |
+
2350,0.1335,1.894464373588562
|
| 237 |
+
2360,0.1363,8.55656909942627
|
| 238 |
+
2370,0.1398,7.630896091461182
|
| 239 |
+
2380,0.1307,9.361071586608887
|
| 240 |
+
2390,0.1461,3.613555431365967
|
| 241 |
+
2400,0.1432,4.020608901977539
|
| 242 |
+
2410,0.1396,6.401773452758789
|
| 243 |
+
2420,0.1355,6.332232475280762
|
| 244 |
+
2430,0.1416,2.399341344833374
|
| 245 |
+
2440,0.1265,5.8365654945373535
|
| 246 |
+
2450,0.6647,10.0
|
| 247 |
+
2460,0.1334,5.435879230499268
|
| 248 |
+
2470,0.1284,10.0
|
| 249 |
+
2480,0.1369,7.202799320220947
|
| 250 |
+
2490,0.1105,2.0989317893981934
|
| 251 |
+
2500,0.1226,4.924466609954834
|
| 252 |
+
2510,0.1089,7.978616714477539
|
| 253 |
+
2520,0.1234,4.150684356689453
|
| 254 |
+
2530,0.1188,4.818097114562988
|
| 255 |
+
2540,0.113,2.5419697761535645
|
| 256 |
+
2550,0.109,5.721562385559082
|
| 257 |
+
2560,0.101,2.7478086948394775
|
| 258 |
+
2570,0.1156,9.692163467407227
|
| 259 |
+
2580,0.12,6.791487693786621
|
| 260 |
+
2590,0.114,4.655740261077881
|
| 261 |
+
2600,0.102,2.558154344558716
|
| 262 |
+
2610,0.156,5.348006725311279
|
| 263 |
+
2620,0.1256,4.152245044708252
|
| 264 |
+
2630,0.1184,6.711794853210449
|
| 265 |
+
2640,0.1253,6.55480432510376
|
| 266 |
+
2650,0.125,6.035834312438965
|
| 267 |
+
2660,0.1068,7.503954887390137
|
| 268 |
+
2670,0.1137,4.4410271644592285
|
| 269 |
+
2680,0.1127,4.127198696136475
|
| 270 |
+
2690,0.1009,3.0780539512634277
|
| 271 |
+
2700,0.1017,8.409754753112793
|
| 272 |
+
2710,0.1,4.118874549865723
|
| 273 |
+
2720,0.1019,2.367293357849121
|
| 274 |
+
2730,0.0891,5.165258884429932
|
| 275 |
+
2740,0.0869,1.9673935174942017
|
| 276 |
+
2750,0.0894,4.972908020019531
|
| 277 |
+
2760,0.0888,4.128866195678711
|
| 278 |
+
2770,0.0876,1.7406138181686401
|
| 279 |
+
2780,0.0925,1.7218992710113525
|
| 280 |
+
2790,0.0872,2.668508768081665
|
| 281 |
+
2800,0.083,5.266975402832031
|
| 282 |
+
2810,0.0871,2.1134185791015625
|
| 283 |
+
2820,0.0941,4.195724010467529
|
| 284 |
+
2830,0.0937,2.4259421825408936
|
| 285 |
+
2840,0.095,2.7671356201171875
|
| 286 |
+
2850,0.0826,6.370889663696289
|
| 287 |
+
2860,0.0891,6.082813739776611
|
| 288 |
+
2870,0.0905,4.761292934417725
|
| 289 |
+
2880,0.0836,3.1539108753204346
|
| 290 |
+
2890,0.0782,3.095581531524658
|
| 291 |
+
2900,0.0844,2.6302435398101807
|
| 292 |
+
2910,0.0773,4.609825134277344
|
| 293 |
+
2920,0.0811,6.823300361633301
|
| 294 |
+
2930,0.0751,2.5662624835968018
|
| 295 |
+
2940,0.087,1.9695119857788086
|
| 296 |
+
2950,0.0825,3.3225550651550293
|
| 297 |
+
2960,0.0767,3.849437713623047
|
| 298 |
+
2970,0.0882,1.750457525253296
|
| 299 |
+
2980,0.0919,6.477813243865967
|
| 300 |
+
2990,0.0804,1.4271601438522339
|
| 301 |
+
3000,0.0832,7.061021327972412
|
| 302 |
+
3010,0.0741,2.1753170490264893
|
| 303 |
+
3020,0.0723,7.894692897796631
|
| 304 |
+
3030,0.0746,2.4842376708984375
|
| 305 |
+
3040,0.0818,4.693914413452148
|
| 306 |
+
3050,0.0743,3.4993011951446533
|
| 307 |
+
3060,0.0698,2.4109108448028564
|
| 308 |
+
3070,0.076,3.363265037536621
|
| 309 |
+
3080,0.0801,4.7013959884643555
|
| 310 |
+
3090,0.0691,1.858520269393921
|
| 311 |
+
3100,0.0811,2.71395206451416
|
| 312 |
+
3110,0.0772,3.254763603210449
|
| 313 |
+
3120,0.0718,6.519776821136475
|
| 314 |
+
3130,0.0746,1.91741144657135
|
| 315 |
+
3140,0.071,1.5471233129501343
|
| 316 |
+
3150,0.0646,3.8411548137664795
|
| 317 |
+
3160,0.068,4.6282267570495605
|
| 318 |
+
3170,0.0706,3.1158607006073
|
| 319 |
+
3180,0.0711,4.9777913093566895
|
| 320 |
+
3190,0.0649,2.6763927936553955
|
| 321 |
+
3200,0.066,4.165836334228516
|
| 322 |
+
3210,0.068,9.641294479370117
|
| 323 |
+
3220,0.0695,2.3524587154388428
|
| 324 |
+
3230,0.0869,3.930358648300171
|
| 325 |
+
3240,0.0734,3.403099298477173
|
| 326 |
+
3250,0.0729,4.471584796905518
|
| 327 |
+
3260,0.0649,2.041577100753784
|
| 328 |
+
3270,0.068,4.053502559661865
|
| 329 |
+
3280,0.0693,1.712865948677063
|
| 330 |
+
3290,0.073,8.817410469055176
|
| 331 |
+
3300,0.0665,1.9689174890518188
|
| 332 |
+
3310,0.0683,4.147378921508789
|
| 333 |
+
3320,0.0635,3.4082727432250977
|
| 334 |
+
3330,0.0587,1.8768893480300903
|
| 335 |
+
3340,0.0628,1.7891249656677246
|
| 336 |
+
3350,0.059,1.5056793689727783
|
| 337 |
+
3360,0.0642,2.3811066150665283
|
| 338 |
+
3370,0.0573,4.5819902420043945
|
| 339 |
+
3380,0.0926,3.9442105293273926
|
| 340 |
+
3390,0.0765,4.184739112854004
|
| 341 |
+
3400,0.0657,2.208756446838379
|
| 342 |
+
3410,0.0584,1.9726155996322632
|
| 343 |
+
3420,0.0663,2.3560941219329834
|
| 344 |
+
3430,0.0652,4.31378173828125
|
| 345 |
+
3440,0.0619,5.586067199707031
|
| 346 |
+
3450,0.0653,4.057238578796387
|
| 347 |
+
3460,0.0647,2.5588834285736084
|
| 348 |
+
3470,0.0604,3.098489761352539
|
| 349 |
+
3480,0.0665,3.6659464836120605
|
| 350 |
+
3490,0.059,2.530979633331299
|
| 351 |
+
3500,0.062,4.6189374923706055
|
| 352 |
+
3510,0.0573,2.125894784927368
|
| 353 |
+
3520,0.0588,3.884368896484375
|
| 354 |
+
3530,0.0648,4.213693141937256
|
| 355 |
+
3540,0.0585,4.863856315612793
|
| 356 |
+
3550,0.0584,2.9554522037506104
|
| 357 |
+
3560,0.0611,1.8812214136123657
|
| 358 |
+
3570,0.0591,2.52107572555542
|
| 359 |
+
3580,0.0622,3.270277500152588
|
| 360 |
+
3590,0.0586,2.0023467540740967
|
| 361 |
+
3600,0.0517,2.0342307090759277
|
| 362 |
+
3610,0.0568,3.3358206748962402
|
| 363 |
+
3620,0.0509,1.158366322517395
|
| 364 |
+
3630,0.0642,1.7512037754058838
|
| 365 |
+
3640,0.0559,1.3442176580429077
|
| 366 |
+
3650,0.0565,4.689185619354248
|
| 367 |
+
3660,0.0575,3.3459503650665283
|
| 368 |
+
3670,0.0534,2.5210814476013184
|
| 369 |
+
3680,0.0562,1.4273737668991089
|
| 370 |
+
3690,0.0531,3.007507562637329
|
| 371 |
+
3700,0.0521,2.328012228012085
|
| 372 |
+
3710,0.0586,3.815755844116211
|
| 373 |
+
3720,0.0559,2.570431709289551
|
| 374 |
+
3730,0.0555,2.9417104721069336
|
| 375 |
+
3740,0.0515,1.5327764749526978
|
| 376 |
+
3750,0.054,3.548718214035034
|
| 377 |
+
3760,0.0552,1.7067848443984985
|
| 378 |
+
3770,0.0459,1.4624521732330322
|
| 379 |
+
3780,0.0459,4.673206329345703
|
| 380 |
+
3790,0.0515,2.1773905754089355
|
| 381 |
+
3800,0.0623,4.247639179229736
|
| 382 |
+
3810,17.18,2.148364543914795
|
| 383 |
+
3820,0.0535,3.752838134765625
|
| 384 |
+
3830,0.0552,3.2757108211517334
|
| 385 |
+
3840,0.0495,2.085975408554077
|
| 386 |
+
3850,0.0468,1.4556792974472046
|
| 387 |
+
3860,0.0583,1.6175802946090698
|
| 388 |
+
3870,0.0486,1.6184957027435303
|
| 389 |
+
3880,0.0778,9.999999046325684
|
| 390 |
+
3890,0.0771,7.507689952850342
|
| 391 |
+
3900,0.1067,4.089766502380371
|
| 392 |
+
3910,0.069,2.4886679649353027
|
| 393 |
+
3920,0.0643,3.568296432495117
|
| 394 |
+
3930,0.0568,2.1102867126464844
|
| 395 |
+
3940,0.0591,1.3482815027236938
|
| 396 |
+
3950,0.0576,2.092593193054199
|
| 397 |
+
3960,0.0484,2.106621503829956
|
| 398 |
+
3970,0.0433,2.036658525466919
|
| 399 |
+
3980,0.0449,1.402249813079834
|
| 400 |
+
3990,0.0482,2.1640737056732178
|
| 401 |
+
4000,0.0463,2.2044899463653564
|
| 402 |
+
4010,0.0549,7.269384384155273
|
| 403 |
+
4020,0.0522,3.0673646926879883
|
| 404 |
+
4030,0.0471,5.095019340515137
|
| 405 |
+
4040,0.0483,3.6901588439941406
|
| 406 |
+
4050,0.0456,1.2914890050888062
|
| 407 |
+
4060,0.0475,2.4384307861328125
|
| 408 |
+
4070,0.0456,1.596550703048706
|
| 409 |
+
4080,0.0517,1.6937170028686523
|
| 410 |
+
4090,0.0437,1.587768316268921
|
| 411 |
+
4100,0.0457,4.193778991699219
|
| 412 |
+
4110,0.0479,2.494598865509033
|
| 413 |
+
4120,0.0433,2.869279623031616
|
| 414 |
+
4130,0.0519,4.543278217315674
|
| 415 |
+
4140,0.0492,1.5083669424057007
|
| 416 |
+
4150,0.0426,2.1934690475463867
|
| 417 |
+
4160,0.0441,2.10366153717041
|
| 418 |
+
4170,0.0437,1.6721271276474
|
| 419 |
+
4180,0.0432,4.587328910827637
|
| 420 |
+
4190,0.053,2.2152934074401855
|
| 421 |
+
4200,0.05,3.132293224334717
|
| 422 |
+
4210,0.0408,3.02851939201355
|
| 423 |
+
4220,0.046,2.1754748821258545
|
| 424 |
+
4230,0.0428,2.0088369846343994
|
| 425 |
+
4240,0.0424,2.7489728927612305
|
| 426 |
+
4250,0.0448,1.6788060665130615
|
| 427 |
+
4260,0.041,2.4949731826782227
|
| 428 |
+
4270,0.0441,1.9527579545974731
|
| 429 |
+
4280,0.043,2.471604108810425
|
| 430 |
+
4290,0.0562,4.944948196411133
|
| 431 |
+
4300,0.0469,2.4510498046875
|
| 432 |
+
4310,0.0428,1.1143766641616821
|
| 433 |
+
4320,0.0448,1.719165325164795
|
| 434 |
+
4330,0.0417,2.277461528778076
|
| 435 |
+
4340,0.038,3.449477195739746
|
| 436 |
+
4350,0.0396,2.189485549926758
|
| 437 |
+
4360,0.0398,1.732558012008667
|
| 438 |
+
4370,0.0433,2.732851266860962
|
| 439 |
+
4380,0.0361,1.4708316326141357
|
| 440 |
+
4390,0.0438,2.114934206008911
|
| 441 |
+
4400,0.0421,4.473976135253906
|
| 442 |
+
4410,0.0437,1.1676849126815796
|
| 443 |
+
4420,0.0351,2.1100847721099854
|
| 444 |
+
4430,0.0456,2.426988124847412
|
| 445 |
+
4440,0.0381,3.200514078140259
|
| 446 |
+
4450,0.0414,1.525909423828125
|
| 447 |
+
4460,0.0407,1.2169736623764038
|
| 448 |
+
4470,0.0476,4.590202808380127
|
| 449 |
+
4480,0.052,1.4722408056259155
|
| 450 |
+
4490,0.0459,1.351094126701355
|
| 451 |
+
4500,0.0446,1.2844514846801758
|
| 452 |
+
4510,0.0392,0.783967912197113
|
| 453 |
+
4520,0.0407,2.0353965759277344
|
| 454 |
+
4530,0.0381,1.3156319856643677
|
| 455 |
+
4540,0.0353,1.4378070831298828
|
| 456 |
+
4550,0.0348,3.0744736194610596
|
| 457 |
+
4560,0.0402,1.6298600435256958
|
| 458 |
+
4570,0.0365,2.6494648456573486
|
| 459 |
+
4580,0.0363,1.653573751449585
|
| 460 |
+
4590,0.0393,1.7645295858383179
|
| 461 |
+
4600,0.0406,4.306888580322266
|
| 462 |
+
4610,0.0358,3.1965126991271973
|
| 463 |
+
4620,0.0396,1.2502505779266357
|
| 464 |
+
4630,0.035,2.091470718383789
|
| 465 |
+
4640,0.0428,1.1398119926452637
|
| 466 |
+
4650,0.0353,2.7160258293151855
|
| 467 |
+
4660,0.0415,0.9645196199417114
|
| 468 |
+
4670,0.036,4.158140182495117
|
| 469 |
+
4680,0.0376,1.1706950664520264
|
| 470 |
+
4690,0.0374,1.1529676914215088
|
| 471 |
+
4700,0.037,1.944616675376892
|
| 472 |
+
4710,0.0376,1.7939577102661133
|
| 473 |
+
4720,0.0345,2.588820695877075
|
| 474 |
+
4730,0.0355,1.099802017211914
|
| 475 |
+
4740,0.036,1.9600342512130737
|
| 476 |
+
4750,0.0413,3.2066643238067627
|
| 477 |
+
4760,0.036,4.0401811599731445
|
| 478 |
+
4770,0.0366,1.673994541168213
|
| 479 |
+
4780,0.0375,4.127200126647949
|
| 480 |
+
4790,0.0364,2.1488308906555176
|
| 481 |
+
4800,0.0366,3.2764744758605957
|
| 482 |
+
4810,0.0387,4.183980941772461
|
| 483 |
+
4820,0.0376,2.350937604904175
|
| 484 |
+
4830,0.0378,1.4431155920028687
|
| 485 |
+
4840,0.0352,2.455113172531128
|
| 486 |
+
4850,0.0388,2.4375059604644775
|
| 487 |
+
4860,0.0352,1.8249945640563965
|
| 488 |
+
4870,0.0366,2.562242031097412
|
| 489 |
+
4880,0.0381,1.7993731498718262
|
| 490 |
+
4890,0.0342,1.6024712324142456
|
| 491 |
+
4900,0.0355,1.0818573236465454
|
| 492 |
+
4910,0.0381,0.9753634929656982
|
| 493 |
+
4920,0.0341,1.9120144844055176
|
| 494 |
+
4930,0.0377,2.293750762939453
|
| 495 |
+
4940,0.0343,3.1085097789764404
|
| 496 |
+
4950,0.036,1.3106160163879395
|
| 497 |
+
4960,0.0341,2.5809476375579834
|
| 498 |
+
4970,0.0306,1.423450231552124
|
| 499 |
+
4980,0.0339,3.155231475830078
|
| 500 |
+
4990,0.0369,1.6214268207550049
|
| 501 |
+
5000,0.0398,3.8274025917053223
|
| 502 |
+
5010,0.0347,3.3754544258117676
|
| 503 |
+
5020,0.0335,2.3379604816436768
|
| 504 |
+
5030,0.0327,1.3889174461364746
|
| 505 |
+
5040,0.0362,2.985076427459717
|
| 506 |
+
5050,0.0365,1.5555957555770874
|
| 507 |
+
5060,0.0384,2.723813533782959
|
| 508 |
+
5070,0.0336,1.3659981489181519
|
| 509 |
+
5080,0.0307,3.0281941890716553
|
| 510 |
+
5090,0.0326,1.122520089149475
|
| 511 |
+
5100,0.0331,2.31559681892395
|
| 512 |
+
5110,0.0375,1.262046217918396
|
| 513 |
+
5120,0.0344,2.673083782196045
|
| 514 |
+
5130,0.0434,5.857226371765137
|
| 515 |
+
5140,0.0477,2.3795230388641357
|
| 516 |
+
5150,0.0524,2.1502673625946045
|
| 517 |
+
5160,0.0429,1.4233574867248535
|
| 518 |
+
5170,0.0345,2.0955042839050293
|
| 519 |
+
5180,0.0351,2.341566562652588
|
| 520 |
+
5190,0.0344,3.160850763320923
|
| 521 |
+
5200,0.0331,2.272794485092163
|
| 522 |
+
5210,0.0335,1.2717911005020142
|
| 523 |
+
5220,0.0319,2.4570579528808594
|
| 524 |
+
5230,0.0343,1.8033403158187866
|
| 525 |
+
5240,0.032,1.5098129510879517
|
| 526 |
+
5250,0.0327,1.48603355884552
|
| 527 |
+
5260,0.0353,1.4422051906585693
|
| 528 |
+
5270,0.0321,1.18756103515625
|
| 529 |
+
5280,0.0352,1.1758790016174316
|
| 530 |
+
5290,0.03,1.2466790676116943
|
| 531 |
+
5300,0.0314,1.9264726638793945
|
| 532 |
+
5310,0.0328,1.9639238119125366
|
| 533 |
+
5320,0.0347,2.070943832397461
|
| 534 |
+
5330,0.0333,2.0837361812591553
|
| 535 |
+
5340,0.0323,1.9007681608200073
|
| 536 |
+
5350,0.0341,4.6805830001831055
|
| 537 |
+
5360,0.0288,1.4064592123031616
|
| 538 |
+
5370,0.0303,3.4108219146728516
|
| 539 |
+
5380,0.0314,0.9329103827476501
|
| 540 |
+
5390,0.0284,1.681719183921814
|
| 541 |
+
5400,0.0299,0.932102382183075
|
| 542 |
+
5410,0.0329,2.7038533687591553
|
| 543 |
+
5420,0.0303,1.4268467426300049
|
| 544 |
+
5430,0.0326,1.9577819108963013
|
| 545 |
+
5440,0.0325,2.5221760272979736
|
| 546 |
+
5450,0.0295,3.2790379524230957
|
| 547 |
+
5460,0.0307,0.8850557208061218
|
| 548 |
+
5470,0.0289,1.8326717615127563
|
| 549 |
+
5480,0.0292,1.3088713884353638
|
| 550 |
+
5490,0.0311,1.0117987394332886
|
| 551 |
+
5500,0.0278,2.7869484424591064
|
| 552 |
+
5510,0.0278,1.3128660917282104
|
| 553 |
+
5520,0.03,1.1051273345947266
|
| 554 |
+
5530,0.0306,1.3793776035308838
|
| 555 |
+
5540,0.0299,2.992269515991211
|
| 556 |
+
5550,0.0356,1.6625593900680542
|
| 557 |
+
5560,0.0349,1.0821179151535034
|
| 558 |
+
5570,0.0313,1.0884099006652832
|
| 559 |
+
5580,0.0306,1.5417124032974243
|
| 560 |
+
5590,0.0329,2.5081472396850586
|
| 561 |
+
5600,0.0331,0.9784805178642273
|
| 562 |
+
5610,0.0295,2.7062466144561768
|
| 563 |
+
5620,0.0294,2.028097629547119
|
| 564 |
+
5630,0.0282,0.9252501130104065
|
| 565 |
+
5640,0.029,1.6614617109298706
|
| 566 |
+
5650,0.0286,1.5624871253967285
|
| 567 |
+
5660,0.0299,1.7454490661621094
|
| 568 |
+
5670,0.0296,1.7463639974594116
|
| 569 |
+
5680,0.0317,1.4736864566802979
|
| 570 |
+
5690,0.0293,1.21503484249115
|
| 571 |
+
5700,0.0305,3.489445209503174
|
| 572 |
+
5710,0.03,1.21157705783844
|
| 573 |
+
5720,0.0288,2.4874978065490723
|
| 574 |
+
5730,0.0354,1.4586814641952515
|
| 575 |
+
5740,0.0345,1.2466408014297485
|
| 576 |
+
5750,0.0281,1.0634334087371826
|
| 577 |
+
5760,0.0311,1.6378570795059204
|
| 578 |
+
5770,0.0298,1.5089457035064697
|
| 579 |
+
5780,0.029,2.608259677886963
|
| 580 |
+
5790,0.0268,1.7564635276794434
|
| 581 |
+
5800,0.0274,1.1659057140350342
|
| 582 |
+
5810,0.0272,2.8701725006103516
|
| 583 |
+
5820,0.0279,1.034717321395874
|
| 584 |
+
5830,0.0307,1.3043538331985474
|
| 585 |
+
5840,0.0258,2.0375423431396484
|
| 586 |
+
5850,0.0308,2.1126816272735596
|
| 587 |
+
5860,0.0282,1.7014706134796143
|
| 588 |
+
5870,0.0284,2.7476634979248047
|
| 589 |
+
5880,0.0242,1.6362510919570923
|
| 590 |
+
5890,0.0361,1.3239845037460327
|
| 591 |
+
5900,0.0277,1.4442349672317505
|
| 592 |
+
5910,0.0258,1.9677876234054565
|
| 593 |
+
5920,0.0298,2.842235803604126
|
| 594 |
+
5930,0.0292,1.5647774934768677
|
| 595 |
+
5940,0.0357,1.7668209075927734
|
| 596 |
+
5950,0.0302,2.651283025741577
|
| 597 |
+
5960,0.0304,5.3611040115356445
|
| 598 |
+
5970,0.0284,5.584418773651123
|
| 599 |
+
5980,0.0297,3.7711610794067383
|
| 600 |
+
5990,0.0289,0.7803456783294678
|
| 601 |
+
6000,0.0247,1.1393859386444092
|
| 602 |
+
6010,0.0276,1.7076109647750854
|
| 603 |
+
6020,0.0277,1.2361043691635132
|
| 604 |
+
6030,0.0279,1.1116836071014404
|
| 605 |
+
6040,0.0284,2.2229862213134766
|
| 606 |
+
6050,0.0306,1.5508464574813843
|
| 607 |
+
6060,0.0308,1.7325248718261719
|
| 608 |
+
6070,0.0261,1.0399812459945679
|
| 609 |
+
6080,0.0297,2.994081974029541
|
| 610 |
+
6090,0.0276,2.2742340564727783
|
| 611 |
+
6100,0.0277,1.2096333503723145
|
| 612 |
+
6110,0.0289,1.3712992668151855
|
| 613 |
+
6120,0.0273,1.6062151193618774
|
| 614 |
+
6130,0.0297,1.5088088512420654
|
| 615 |
+
6140,0.026,0.9999478459358215
|
| 616 |
+
6150,0.0285,1.0416607856750488
|
| 617 |
+
6160,0.0259,1.9191815853118896
|
| 618 |
+
6170,0.0259,1.457220196723938
|
| 619 |
+
6180,0.0264,1.0753467082977295
|
| 620 |
+
6190,0.0258,2.804377317428589
|
| 621 |
+
6200,0.0282,1.9763532876968384
|
| 622 |
+
6210,0.0244,2.1442463397979736
|
| 623 |
+
6220,0.0251,1.6756515502929688
|
| 624 |
+
6230,0.0276,2.3364181518554688
|
| 625 |
+
6240,0.0266,3.023191452026367
|
| 626 |
+
6250,0.0273,2.4868950843811035
|
| 627 |
+
6260,0.027,2.500319480895996
|
| 628 |
+
6270,0.0248,1.7919338941574097
|
| 629 |
+
6280,0.0342,0.9290552139282227
|
| 630 |
+
6290,0.0262,1.057898759841919
|
| 631 |
+
6300,0.0262,1.664808750152588
|
| 632 |
+
6310,0.0265,2.4442942142486572
|
| 633 |
+
6320,0.0255,2.3966939449310303
|
| 634 |
+
6330,0.0263,2.9697370529174805
|
| 635 |
+
6340,0.0256,2.686727285385132
|
| 636 |
+
6350,0.0238,1.7658582925796509
|
| 637 |
+
6360,0.0227,0.8644446730613708
|
| 638 |
+
6370,0.0441,10.0
|
| 639 |
+
6380,0.0367,2.123744249343872
|
| 640 |
+
6390,0.0335,5.936791896820068
|
| 641 |
+
6400,0.0298,2.3005146980285645
|
| 642 |
+
6410,0.0288,1.058663010597229
|
| 643 |
+
6420,0.028,2.2832794189453125
|
| 644 |
+
6430,0.024,1.0518248081207275
|
| 645 |
+
6440,0.0253,0.7201146483421326
|
| 646 |
+
6450,0.0246,1.5872597694396973
|
| 647 |
+
6460,0.0267,1.0472866296768188
|
| 648 |
+
6470,0.0244,1.5414655208587646
|
| 649 |
+
6480,0.0232,1.91981840133667
|
| 650 |
+
6490,0.0247,0.8029799461364746
|
| 651 |
+
6500,0.0254,1.7385778427124023
|
| 652 |
+
6510,0.0257,1.1203155517578125
|
| 653 |
+
6520,0.0223,0.8405721783638
|
| 654 |
+
6530,0.0241,0.8406912088394165
|
| 655 |
+
6540,0.0228,1.0132052898406982
|
| 656 |
+
6550,0.0266,1.5743025541305542
|
| 657 |
+
6560,0.0221,2.5406606197357178
|
| 658 |
+
6570,0.0241,1.8731350898742676
|
| 659 |
+
6580,0.0235,1.8953135013580322
|
| 660 |
+
6590,0.03,1.2279338836669922
|
| 661 |
+
6600,0.0238,2.3483939170837402
|
| 662 |
+
6610,0.0284,1.5353964567184448
|
| 663 |
+
6620,0.0254,0.7940895557403564
|
| 664 |
+
6630,0.0268,0.8867064118385315
|
| 665 |
+
6640,0.0229,0.6823979020118713
|
| 666 |
+
6650,0.0221,0.9054269790649414
|
| 667 |
+
6660,0.0242,0.844618558883667
|
| 668 |
+
6670,0.0229,1.4453538656234741
|
| 669 |
+
6680,0.0223,1.9151674509048462
|
| 670 |
+
6690,0.0245,0.8978673219680786
|
| 671 |
+
6700,0.0237,1.192948341369629
|
| 672 |
+
6710,0.0233,0.9310412406921387
|
| 673 |
+
6720,0.0236,3.681347608566284
|
| 674 |
+
6730,0.0209,1.9511719942092896
|
| 675 |
+
6740,0.0233,0.8533463478088379
|
| 676 |
+
6750,0.024,1.8927245140075684
|
| 677 |
+
6760,0.0254,1.9887471199035645
|
| 678 |
+
6770,0.0233,0.9910705089569092
|
| 679 |
+
6780,0.0276,0.9697316884994507
|
| 680 |
+
6790,0.0221,1.3073784112930298
|
| 681 |
+
6800,0.0258,2.332897663116455
|
| 682 |
+
6810,0.024,2.5246870517730713
|
| 683 |
+
6820,0.0225,0.9514437317848206
|
| 684 |
+
6830,0.0265,0.9734804630279541
|
| 685 |
+
6840,0.0225,0.7412808537483215
|
| 686 |
+
6850,0.0218,0.6654082536697388
|
| 687 |
+
6860,0.0239,1.154433250427246
|
| 688 |
+
6870,0.0227,2.431039571762085
|
| 689 |
+
6880,0.0203,0.7000795602798462
|
| 690 |
+
6890,0.0235,0.9966208338737488
|
| 691 |
+
6900,0.0224,0.5826752185821533
|
| 692 |
+
6910,0.0196,1.576804280281067
|
| 693 |
+
6920,0.0204,0.846698522567749
|
| 694 |
+
6930,0.022,1.1780568361282349
|
| 695 |
+
6940,0.0227,1.391042709350586
|
| 696 |
+
6950,0.0218,0.8042160868644714
|
| 697 |
+
6960,0.02,1.000321388244629
|
| 698 |
+
6970,0.0216,0.9171059131622314
|
| 699 |
+
6980,0.0213,1.0661230087280273
|
| 700 |
+
6990,0.0204,1.4091787338256836
|
| 701 |
+
7000,0.0225,1.5097310543060303
|
| 702 |
+
7010,0.0217,2.1942641735076904
|
| 703 |
+
7020,0.0225,2.1799325942993164
|
| 704 |
+
7030,0.0235,0.8118078708648682
|
| 705 |
+
7040,0.022,0.6434078216552734
|
| 706 |
+
7050,0.0215,2.233530282974243
|
| 707 |
+
7060,0.0234,2.489169120788574
|
| 708 |
+
7070,0.022,1.5902799367904663
|
| 709 |
+
7080,0.0255,2.1637775897979736
|
| 710 |
+
7090,0.0235,0.90614914894104
|
| 711 |
+
7100,0.0233,2.2505555152893066
|
| 712 |
+
7110,0.022,1.0614933967590332
|
| 713 |
+
7120,0.0189,1.5377411842346191
|
| 714 |
+
7130,0.0217,2.9292163848876953
|
| 715 |
+
7140,0.0194,0.55870121717453
|
| 716 |
+
7150,0.025,2.509446859359741
|
| 717 |
+
7160,0.0215,2.2066006660461426
|
| 718 |
+
7170,0.0224,1.0167932510375977
|
| 719 |
+
7180,0.0227,1.1303454637527466
|
| 720 |
+
7190,0.0264,1.1977907419204712
|
| 721 |
+
7200,0.0232,1.1619302034378052
|
| 722 |
+
7210,0.0213,0.7383434772491455
|
| 723 |
+
7220,0.0229,1.3148552179336548
|
| 724 |
+
7230,0.0244,3.0743839740753174
|
| 725 |
+
7240,0.0209,2.406111240386963
|
| 726 |
+
7250,0.0283,1.536865472793579
|
| 727 |
+
7260,0.0226,0.5282655954360962
|
| 728 |
+
7270,0.021,1.2603291273117065
|
| 729 |
+
7280,0.0207,0.9980093240737915
|
| 730 |
+
7290,0.0238,1.0919678211212158
|
| 731 |
+
7300,0.0202,0.9208861589431763
|
| 732 |
+
7310,0.0204,1.6525688171386719
|
| 733 |
+
7320,0.0192,1.4176781177520752
|
| 734 |
+
7330,0.0206,1.4673593044281006
|
| 735 |
+
7340,0.0218,0.8493990302085876
|
| 736 |
+
7350,0.0191,1.3118574619293213
|
| 737 |
+
7360,0.0194,0.7866161465644836
|
| 738 |
+
7370,0.0228,0.8892452120780945
|
| 739 |
+
7380,0.0219,2.4955861568450928
|
| 740 |
+
7390,0.0204,1.814651608467102
|
| 741 |
+
7400,0.0228,1.1132270097732544
|
| 742 |
+
7410,0.0208,0.7917268872261047
|
| 743 |
+
7420,0.0225,1.779470443725586
|
| 744 |
+
7430,0.0209,1.540031909942627
|
| 745 |
+
7440,0.0201,0.795350193977356
|
| 746 |
+
7450,0.0203,1.4017839431762695
|
| 747 |
+
7460,0.0223,1.2247642278671265
|
| 748 |
+
7470,0.0218,1.8473584651947021
|
| 749 |
+
7480,0.0228,1.563549518585205
|
| 750 |
+
7490,0.0184,0.9918416142463684
|
| 751 |
+
7500,0.02,0.7983741164207458
|
| 752 |
+
7510,0.0189,1.003884196281433
|
| 753 |
+
7520,0.0187,2.06343150138855
|
| 754 |
+
7530,0.0209,0.8900611400604248
|
| 755 |
+
7540,0.0209,1.086491346359253
|
| 756 |
+
7550,0.025,1.247149109840393
|
| 757 |
+
7560,0.0189,1.2688690423965454
|
| 758 |
+
7570,0.0267,0.8303091526031494
|
| 759 |
+
7580,0.0205,1.7538371086120605
|
| 760 |
+
7590,0.0223,0.9375876188278198
|
| 761 |
+
7600,0.0203,1.3351136445999146
|
| 762 |
+
7610,0.0193,0.670791506767273
|
| 763 |
+
7620,0.0207,0.6955625414848328
|
| 764 |
+
7630,0.0197,0.8708732724189758
|
| 765 |
+
7640,0.1552,2.0503456592559814
|
| 766 |
+
7650,0.0256,2.0993776321411133
|
| 767 |
+
7660,0.0259,1.001733660697937
|
| 768 |
+
7670,0.0271,1.1097873449325562
|
| 769 |
+
7680,0.0234,1.4637205600738525
|
| 770 |
+
7690,0.0224,0.7054375410079956
|
| 771 |
+
7700,0.0198,1.0400899648666382
|
| 772 |
+
7710,0.0239,1.1329540014266968
|
| 773 |
+
7720,0.0225,1.9706392288208008
|
| 774 |
+
7730,0.0227,0.9307739734649658
|
| 775 |
+
7740,0.0197,1.021101951599121
|
| 776 |
+
7750,0.022,0.6976405382156372
|
| 777 |
+
7760,0.0209,1.2085492610931396
|
| 778 |
+
7770,0.0202,0.9504523277282715
|
| 779 |
+
7780,0.0191,1.4022413492202759
|
| 780 |
+
7790,0.0195,0.7028554677963257
|
| 781 |
+
7800,0.024,0.8556867241859436
|
| 782 |
+
7810,0.0206,1.331692099571228
|
| 783 |
+
7820,0.3014,3.2675046920776367
|
| 784 |
+
7830,0.0234,1.7758318185806274
|
| 785 |
+
7840,0.0225,1.8547520637512207
|
| 786 |
+
7850,0.0208,0.6967349648475647
|
| 787 |
+
7860,0.0198,1.194005012512207
|
| 788 |
+
7870,0.0201,1.7068527936935425
|
| 789 |
+
7880,0.0239,1.449600100517273
|
| 790 |
+
7890,0.0225,1.0100475549697876
|
| 791 |
+
7900,0.0215,0.9704424142837524
|
| 792 |
+
7910,0.0192,0.7141832113265991
|
| 793 |
+
7920,0.02,1.8738646507263184
|
| 794 |
+
7930,0.0205,0.9470159411430359
|
| 795 |
+
7940,0.0193,1.2336801290512085
|
| 796 |
+
7950,0.0202,0.9015800952911377
|
| 797 |
+
7960,0.0234,0.7350621223449707
|
| 798 |
+
7970,0.0207,1.2060322761535645
|
| 799 |
+
7980,0.0188,0.6335831880569458
|
| 800 |
+
7990,0.0195,1.0557260513305664
|
| 801 |
+
8000,0.0182,0.5716488361358643
|
| 802 |
+
8010,0.0204,0.75430828332901
|
| 803 |
+
8020,0.0226,0.7589021921157837
|
| 804 |
+
8030,0.0197,0.9131786227226257
|
| 805 |
+
8040,0.02,0.7432297468185425
|
| 806 |
+
8050,0.0182,0.7287900447845459
|
| 807 |
+
8060,0.0201,0.7430145740509033
|
| 808 |
+
8070,0.0188,0.5040020942687988
|
| 809 |
+
8080,0.0171,0.6938813328742981
|
| 810 |
+
8090,0.0201,0.7587171792984009
|
| 811 |
+
8100,0.0196,1.0006415843963623
|
| 812 |
+
8110,0.0179,0.6382442116737366
|
| 813 |
+
8120,0.0177,0.9802420735359192
|
| 814 |
+
8130,0.0201,1.5089691877365112
|
| 815 |
+
8140,0.0205,0.8414797782897949
|
| 816 |
+
8150,0.0209,0.9343305230140686
|
| 817 |
+
8160,0.0194,0.7130104899406433
|
| 818 |
+
8170,0.0187,1.5550020933151245
|
| 819 |
+
8180,0.0208,1.134194254875183
|
| 820 |
+
8190,0.0194,0.9144425392150879
|
| 821 |
+
8200,0.0177,1.6265108585357666
|
| 822 |
+
8210,0.0183,1.8325061798095703
|
| 823 |
+
8220,0.0185,1.106653094291687
|
| 824 |
+
8230,0.0186,1.0227482318878174
|
| 825 |
+
8240,0.0182,0.8500052094459534
|
| 826 |
+
8250,0.0182,0.670935332775116
|
| 827 |
+
8260,0.0205,1.164656400680542
|
| 828 |
+
8270,0.0182,1.3024622201919556
|
| 829 |
+
8280,0.0232,0.7322014570236206
|
| 830 |
+
8290,0.0183,0.7198416590690613
|
| 831 |
+
8300,0.0184,0.5351381897926331
|
| 832 |
+
8310,0.0224,0.6597144603729248
|
| 833 |
+
8320,0.0183,0.9235522747039795
|
| 834 |
+
8330,0.0176,0.5945689082145691
|
| 835 |
+
8340,0.0165,0.6714538335800171
|
| 836 |
+
8350,0.0184,0.5681155323982239
|
| 837 |
+
8360,0.0176,1.2865463495254517
|
| 838 |
+
8370,0.0205,0.675859808921814
|
| 839 |
+
8380,0.0183,0.7957953810691833
|
| 840 |
+
8390,0.0188,0.9204811453819275
|
| 841 |
+
8400,0.0175,1.300011157989502
|
| 842 |
+
8410,0.0199,1.3987044095993042
|
| 843 |
+
8420,0.0213,0.7248627543449402
|
| 844 |
+
8430,0.0173,0.7257712483406067
|
| 845 |
+
8440,0.0188,0.7517357468605042
|
| 846 |
+
8450,0.0172,1.4544386863708496
|
| 847 |
+
8460,0.0184,0.8707684278488159
|
| 848 |
+
8470,0.0193,0.6012953519821167
|
| 849 |
+
8480,0.0198,0.9415525197982788
|
| 850 |
+
8490,0.0179,1.2781232595443726
|
| 851 |
+
8500,0.0165,0.6411517262458801
|
| 852 |
+
8510,0.0214,1.3048300743103027
|
| 853 |
+
8520,0.0164,1.0317035913467407
|
| 854 |
+
8530,0.0191,1.280391812324524
|
| 855 |
+
8540,0.0194,1.2745990753173828
|
| 856 |
+
8550,0.0187,0.811211884021759
|
| 857 |
+
8560,0.0189,1.224231481552124
|
| 858 |
+
8570,0.018,1.0096673965454102
|
| 859 |
+
8580,0.0198,0.8405938148498535
|
| 860 |
+
8590,0.0199,1.4348673820495605
|
| 861 |
+
8600,0.0189,1.1237190961837769
|
| 862 |
+
8610,0.0176,0.7278895974159241
|
| 863 |
+
8620,0.0192,1.0273234844207764
|
| 864 |
+
8630,0.0207,0.7905086278915405
|
| 865 |
+
8640,0.0188,1.2564754486083984
|
| 866 |
+
8650,0.0193,1.3913291692733765
|
| 867 |
+
8660,0.0185,1.0669301748275757
|
| 868 |
+
8670,0.0197,0.7301857471466064
|
| 869 |
+
8680,0.0188,1.1367110013961792
|
| 870 |
+
8690,0.0181,0.8318895101547241
|
| 871 |
+
8700,0.0185,0.9521366953849792
|
| 872 |
+
8710,0.0174,0.5941877961158752
|
| 873 |
+
8720,0.0178,0.6861777305603027
|
| 874 |
+
8730,0.0178,0.40648457407951355
|
| 875 |
+
8740,0.0188,1.452647089958191
|
| 876 |
+
8750,0.019,1.1174592971801758
|
| 877 |
+
8760,0.023,0.76162189245224
|
| 878 |
+
8770,0.019,0.9453418850898743
|
| 879 |
+
8780,0.017,0.779726505279541
|
| 880 |
+
8790,0.0184,2.2095513343811035
|
| 881 |
+
8800,0.0179,0.6634120941162109
|
| 882 |
+
8810,0.0163,1.0645198822021484
|
| 883 |
+
8820,0.0175,0.751386284828186
|
| 884 |
+
8830,0.0186,1.3877284526824951
|
| 885 |
+
8840,0.0171,0.6783541440963745
|
| 886 |
+
8850,0.0188,1.2080283164978027
|
| 887 |
+
8860,0.0192,1.290414810180664
|
| 888 |
+
8870,0.016,1.0223037004470825
|
| 889 |
+
8880,0.0172,0.7657661437988281
|
| 890 |
+
8890,0.0166,1.068636178970337
|
| 891 |
+
8900,0.0176,0.7494480013847351
|
| 892 |
+
8910,0.0167,0.9242642521858215
|
| 893 |
+
8920,0.0167,0.5937004089355469
|
| 894 |
+
8930,0.0176,1.159949779510498
|
| 895 |
+
8940,0.0167,0.9256805777549744
|
| 896 |
+
8950,0.0163,0.529428243637085
|
| 897 |
+
8960,0.0182,1.145539402961731
|
| 898 |
+
8970,0.0167,0.6877376437187195
|
| 899 |
+
8980,0.0189,0.8787598013877869
|
| 900 |
+
8990,0.016,0.8161001205444336
|
| 901 |
+
9000,0.0178,0.7280420660972595
|
| 902 |
+
9010,0.0176,0.5738248229026794
|
| 903 |
+
9020,0.0174,0.648565411567688
|
| 904 |
+
9030,0.0173,0.8187539577484131
|
| 905 |
+
9040,0.0186,0.7371270656585693
|
| 906 |
+
9050,0.0179,0.6220325827598572
|
| 907 |
+
9060,0.0163,0.532849907875061
|
| 908 |
+
9070,0.0167,1.0468082427978516
|
| 909 |
+
9080,0.0172,0.8014238476753235
|
| 910 |
+
9090,0.0204,0.7104499936103821
|
| 911 |
+
9100,0.0177,1.26918363571167
|
| 912 |
+
9110,0.0167,0.806438684463501
|
| 913 |
+
9120,0.0256,1.2076534032821655
|
| 914 |
+
9130,0.0205,0.5213536024093628
|
| 915 |
+
9140,0.0166,0.7805724740028381
|
| 916 |
+
9150,0.019,0.7784114480018616
|
| 917 |
+
9160,0.0175,0.6235218644142151
|
| 918 |
+
9170,0.0154,0.7562257647514343
|
| 919 |
+
9180,0.018,0.5506068468093872
|
| 920 |
+
9190,0.0151,0.8118301630020142
|
| 921 |
+
9200,0.0159,0.9710285067558289
|
| 922 |
+
9210,0.0175,0.6396836042404175
|
| 923 |
+
9220,0.0181,0.6802005171775818
|
| 924 |
+
9230,0.0164,0.8104036450386047
|
| 925 |
+
9240,0.0157,0.545315146446228
|
| 926 |
+
9250,0.0179,0.5534526705741882
|
| 927 |
+
9260,0.0173,0.5620812177658081
|
| 928 |
+
9270,0.0212,0.6944151520729065
|
| 929 |
+
9280,0.0185,0.7129794359207153
|
| 930 |
+
9290,0.0171,0.5501587390899658
|
| 931 |
+
9300,0.0172,0.4670201241970062
|
| 932 |
+
9310,0.0176,0.6461374759674072
|
| 933 |
+
9320,0.0177,0.7871281504631042
|
| 934 |
+
9330,0.0162,0.6447378396987915
|
| 935 |
+
9340,0.0168,0.6140932440757751
|
| 936 |
+
9350,0.0186,0.5023877024650574
|
| 937 |
+
9360,0.0182,0.5248384475708008
|
| 938 |
+
9370,0.0176,0.608130156993866
|
| 939 |
+
9375,nan,nan
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|