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
- config.json +40 -0
- merges.txt +0 -0
- special_tokens_map.json +24 -0
- tokenizer_config.json +22 -0
- training_logs.csv +314 -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 sha256:66292a1403d0bc2511bfda4cc1a981d2f0e3a43e9dc24a699d9acbbd3e8c7d82
|
| 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 sha256:66292a1403d0bc2511bfda4cc1a981d2f0e3a43e9dc24a699d9acbbd3e8c7d82
|
| 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:c1c1f81515b0e252f5c7a4b8546046b582904357f2f2a50140a617f23ab20d8f
|
| 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:e42e57efa8b95889e87232fe6ea0805483ed6c8a2d35bb60230715b624ff5bda
|
| 3 |
+
size 1064
|
checkpoint-3125/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|endoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|endoftext|>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<|endoftext|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": true,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-3125/tokenizer_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"50256": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
}
|
| 13 |
+
},
|
| 14 |
+
"bos_token": "<|endoftext|>",
|
| 15 |
+
"clean_up_tokenization_spaces": false,
|
| 16 |
+
"eos_token": "<|endoftext|>",
|
| 17 |
+
"errors": "replace",
|
| 18 |
+
"model_max_length": 1024,
|
| 19 |
+
"pad_token": "<|endoftext|>",
|
| 20 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 21 |
+
"unk_token": "<|endoftext|>"
|
| 22 |
+
}
|
checkpoint-3125/trainer_state.json
ADDED
|
@@ -0,0 +1,2217 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 3125,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0032,
|
| 13 |
+
"grad_norm": 10.0,
|
| 14 |
+
"learning_rate": 6.369426751592357e-06,
|
| 15 |
+
"loss": 24.9631,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0064,
|
| 20 |
+
"grad_norm": 9.999998092651367,
|
| 21 |
+
"learning_rate": 1.2738853503184714e-05,
|
| 22 |
+
"loss": 20.8404,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0096,
|
| 27 |
+
"grad_norm": 10.0,
|
| 28 |
+
"learning_rate": 1.910828025477707e-05,
|
| 29 |
+
"loss": 18.8159,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0128,
|
| 34 |
+
"grad_norm": 10.0,
|
| 35 |
+
"learning_rate": 2.5477707006369428e-05,
|
| 36 |
+
"loss": 20.6325,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.016,
|
| 41 |
+
"grad_norm": 10.0,
|
| 42 |
+
"learning_rate": 3.184713375796178e-05,
|
| 43 |
+
"loss": 17.4707,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.0192,
|
| 48 |
+
"grad_norm": 9.999999046325684,
|
| 49 |
+
"learning_rate": 3.821656050955414e-05,
|
| 50 |
+
"loss": 15.7267,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.0224,
|
| 55 |
+
"grad_norm": 10.000000953674316,
|
| 56 |
+
"learning_rate": 4.45859872611465e-05,
|
| 57 |
+
"loss": 14.4446,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.0256,
|
| 62 |
+
"grad_norm": 9.999998092651367,
|
| 63 |
+
"learning_rate": 5.0955414012738855e-05,
|
| 64 |
+
"loss": 12.1937,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.0288,
|
| 69 |
+
"grad_norm": 9.999999046325684,
|
| 70 |
+
"learning_rate": 5.732484076433121e-05,
|
| 71 |
+
"loss": 9.5339,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.032,
|
| 76 |
+
"grad_norm": 9.999999046325684,
|
| 77 |
+
"learning_rate": 6.369426751592356e-05,
|
| 78 |
+
"loss": 6.8862,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.0352,
|
| 83 |
+
"grad_norm": 9.999999046325684,
|
| 84 |
+
"learning_rate": 7.006369426751592e-05,
|
| 85 |
+
"loss": 6.4802,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.0384,
|
| 90 |
+
"grad_norm": 9.999998092651367,
|
| 91 |
+
"learning_rate": 7.643312101910829e-05,
|
| 92 |
+
"loss": 4.1698,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.0416,
|
| 97 |
+
"grad_norm": 9.999999046325684,
|
| 98 |
+
"learning_rate": 8.280254777070065e-05,
|
| 99 |
+
"loss": 3.6582,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.0448,
|
| 104 |
+
"grad_norm": 8.310874938964844,
|
| 105 |
+
"learning_rate": 8.9171974522293e-05,
|
| 106 |
+
"loss": 3.0036,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.048,
|
| 111 |
+
"grad_norm": 8.249914169311523,
|
| 112 |
+
"learning_rate": 9.554140127388536e-05,
|
| 113 |
+
"loss": 2.5991,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.0512,
|
| 118 |
+
"grad_norm": 6.633706092834473,
|
| 119 |
+
"learning_rate": 9.989892183288411e-05,
|
| 120 |
+
"loss": 2.0956,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.0544,
|
| 125 |
+
"grad_norm": 4.844052791595459,
|
| 126 |
+
"learning_rate": 9.956199460916442e-05,
|
| 127 |
+
"loss": 1.8054,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.0576,
|
| 132 |
+
"grad_norm": 5.696422100067139,
|
| 133 |
+
"learning_rate": 9.922506738544474e-05,
|
| 134 |
+
"loss": 1.5541,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.0608,
|
| 139 |
+
"grad_norm": 5.249777793884277,
|
| 140 |
+
"learning_rate": 9.888814016172507e-05,
|
| 141 |
+
"loss": 1.5431,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.064,
|
| 146 |
+
"grad_norm": 4.493651866912842,
|
| 147 |
+
"learning_rate": 9.85512129380054e-05,
|
| 148 |
+
"loss": 1.5084,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.0672,
|
| 153 |
+
"grad_norm": 3.875426769256592,
|
| 154 |
+
"learning_rate": 9.821428571428572e-05,
|
| 155 |
+
"loss": 1.3255,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.0704,
|
| 160 |
+
"grad_norm": 3.985583782196045,
|
| 161 |
+
"learning_rate": 9.787735849056603e-05,
|
| 162 |
+
"loss": 1.368,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.0736,
|
| 167 |
+
"grad_norm": 3.1382219791412354,
|
| 168 |
+
"learning_rate": 9.754043126684636e-05,
|
| 169 |
+
"loss": 1.2237,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.0768,
|
| 174 |
+
"grad_norm": 3.6973352432250977,
|
| 175 |
+
"learning_rate": 9.720350404312669e-05,
|
| 176 |
+
"loss": 1.1944,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.08,
|
| 181 |
+
"grad_norm": 4.306434154510498,
|
| 182 |
+
"learning_rate": 9.686657681940702e-05,
|
| 183 |
+
"loss": 1.1278,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.0832,
|
| 188 |
+
"grad_norm": 4.24944543838501,
|
| 189 |
+
"learning_rate": 9.652964959568734e-05,
|
| 190 |
+
"loss": 1.1202,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.0864,
|
| 195 |
+
"grad_norm": 4.12693977355957,
|
| 196 |
+
"learning_rate": 9.619272237196765e-05,
|
| 197 |
+
"loss": 1.0113,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.0896,
|
| 202 |
+
"grad_norm": 3.7358357906341553,
|
| 203 |
+
"learning_rate": 9.585579514824798e-05,
|
| 204 |
+
"loss": 1.0587,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.0928,
|
| 209 |
+
"grad_norm": 4.148690223693848,
|
| 210 |
+
"learning_rate": 9.551886792452831e-05,
|
| 211 |
+
"loss": 0.9658,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.096,
|
| 216 |
+
"grad_norm": 4.104267120361328,
|
| 217 |
+
"learning_rate": 9.518194070080863e-05,
|
| 218 |
+
"loss": 1.0358,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.0992,
|
| 223 |
+
"grad_norm": 3.458801746368408,
|
| 224 |
+
"learning_rate": 9.484501347708896e-05,
|
| 225 |
+
"loss": 0.9948,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.1024,
|
| 230 |
+
"grad_norm": 2.915538787841797,
|
| 231 |
+
"learning_rate": 9.450808625336927e-05,
|
| 232 |
+
"loss": 0.8794,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.1056,
|
| 237 |
+
"grad_norm": 3.209948778152466,
|
| 238 |
+
"learning_rate": 9.41711590296496e-05,
|
| 239 |
+
"loss": 0.9644,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.1088,
|
| 244 |
+
"grad_norm": 3.135376214981079,
|
| 245 |
+
"learning_rate": 9.383423180592993e-05,
|
| 246 |
+
"loss": 0.9274,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.112,
|
| 251 |
+
"grad_norm": 3.4967312812805176,
|
| 252 |
+
"learning_rate": 9.349730458221025e-05,
|
| 253 |
+
"loss": 0.9099,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.1152,
|
| 258 |
+
"grad_norm": 3.2876088619232178,
|
| 259 |
+
"learning_rate": 9.316037735849057e-05,
|
| 260 |
+
"loss": 0.8661,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.1184,
|
| 265 |
+
"grad_norm": 3.465593099594116,
|
| 266 |
+
"learning_rate": 9.282345013477089e-05,
|
| 267 |
+
"loss": 0.8903,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.1216,
|
| 272 |
+
"grad_norm": 3.491227388381958,
|
| 273 |
+
"learning_rate": 9.248652291105122e-05,
|
| 274 |
+
"loss": 0.8406,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.1248,
|
| 279 |
+
"grad_norm": 3.153066396713257,
|
| 280 |
+
"learning_rate": 9.214959568733154e-05,
|
| 281 |
+
"loss": 0.8485,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.128,
|
| 286 |
+
"grad_norm": 4.715076446533203,
|
| 287 |
+
"learning_rate": 9.181266846361186e-05,
|
| 288 |
+
"loss": 0.8795,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.1312,
|
| 293 |
+
"grad_norm": 3.2449190616607666,
|
| 294 |
+
"learning_rate": 9.14757412398922e-05,
|
| 295 |
+
"loss": 0.8124,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.1344,
|
| 300 |
+
"grad_norm": 3.496378183364868,
|
| 301 |
+
"learning_rate": 9.113881401617251e-05,
|
| 302 |
+
"loss": 0.7733,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.1376,
|
| 307 |
+
"grad_norm": 3.975687265396118,
|
| 308 |
+
"learning_rate": 9.080188679245284e-05,
|
| 309 |
+
"loss": 0.7438,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.1408,
|
| 314 |
+
"grad_norm": 4.541060447692871,
|
| 315 |
+
"learning_rate": 9.046495956873315e-05,
|
| 316 |
+
"loss": 0.7557,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.144,
|
| 321 |
+
"grad_norm": 3.7180514335632324,
|
| 322 |
+
"learning_rate": 9.012803234501348e-05,
|
| 323 |
+
"loss": 0.7744,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.1472,
|
| 328 |
+
"grad_norm": 4.477784156799316,
|
| 329 |
+
"learning_rate": 8.979110512129381e-05,
|
| 330 |
+
"loss": 0.7894,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.1504,
|
| 335 |
+
"grad_norm": 6.005988121032715,
|
| 336 |
+
"learning_rate": 8.945417789757413e-05,
|
| 337 |
+
"loss": 0.664,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.1536,
|
| 342 |
+
"grad_norm": 3.6489133834838867,
|
| 343 |
+
"learning_rate": 8.911725067385444e-05,
|
| 344 |
+
"loss": 0.6678,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.1568,
|
| 349 |
+
"grad_norm": 4.066476821899414,
|
| 350 |
+
"learning_rate": 8.878032345013477e-05,
|
| 351 |
+
"loss": 0.6436,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.16,
|
| 356 |
+
"grad_norm": 2.9249703884124756,
|
| 357 |
+
"learning_rate": 8.84433962264151e-05,
|
| 358 |
+
"loss": 0.6698,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.1632,
|
| 363 |
+
"grad_norm": 3.470515489578247,
|
| 364 |
+
"learning_rate": 8.810646900269543e-05,
|
| 365 |
+
"loss": 0.6342,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.1664,
|
| 370 |
+
"grad_norm": 3.9201626777648926,
|
| 371 |
+
"learning_rate": 8.776954177897575e-05,
|
| 372 |
+
"loss": 0.6154,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.1696,
|
| 377 |
+
"grad_norm": 3.164458990097046,
|
| 378 |
+
"learning_rate": 8.743261455525606e-05,
|
| 379 |
+
"loss": 0.5471,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.1728,
|
| 384 |
+
"grad_norm": 8.615708351135254,
|
| 385 |
+
"learning_rate": 8.709568733153639e-05,
|
| 386 |
+
"loss": 0.6391,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.176,
|
| 391 |
+
"grad_norm": 2.548628330230713,
|
| 392 |
+
"learning_rate": 8.675876010781672e-05,
|
| 393 |
+
"loss": 0.5768,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.1792,
|
| 398 |
+
"grad_norm": 5.320557594299316,
|
| 399 |
+
"learning_rate": 8.642183288409704e-05,
|
| 400 |
+
"loss": 0.5361,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.1824,
|
| 405 |
+
"grad_norm": 5.885339736938477,
|
| 406 |
+
"learning_rate": 8.608490566037735e-05,
|
| 407 |
+
"loss": 0.542,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.1856,
|
| 412 |
+
"grad_norm": 3.641576051712036,
|
| 413 |
+
"learning_rate": 8.574797843665768e-05,
|
| 414 |
+
"loss": 0.572,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.1888,
|
| 419 |
+
"grad_norm": 4.401009559631348,
|
| 420 |
+
"learning_rate": 8.541105121293801e-05,
|
| 421 |
+
"loss": 0.5329,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.192,
|
| 426 |
+
"grad_norm": 3.0472371578216553,
|
| 427 |
+
"learning_rate": 8.507412398921834e-05,
|
| 428 |
+
"loss": 0.5004,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.1952,
|
| 433 |
+
"grad_norm": 4.5183491706848145,
|
| 434 |
+
"learning_rate": 8.473719676549866e-05,
|
| 435 |
+
"loss": 0.4432,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.1984,
|
| 440 |
+
"grad_norm": 4.483486175537109,
|
| 441 |
+
"learning_rate": 8.440026954177897e-05,
|
| 442 |
+
"loss": 0.438,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.2016,
|
| 447 |
+
"grad_norm": 3.5213429927825928,
|
| 448 |
+
"learning_rate": 8.40633423180593e-05,
|
| 449 |
+
"loss": 0.4345,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.2048,
|
| 454 |
+
"grad_norm": 2.9145050048828125,
|
| 455 |
+
"learning_rate": 8.372641509433963e-05,
|
| 456 |
+
"loss": 0.391,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.208,
|
| 461 |
+
"grad_norm": 2.7155418395996094,
|
| 462 |
+
"learning_rate": 8.338948787061996e-05,
|
| 463 |
+
"loss": 0.3555,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.2112,
|
| 468 |
+
"grad_norm": 2.8801558017730713,
|
| 469 |
+
"learning_rate": 8.305256064690027e-05,
|
| 470 |
+
"loss": 0.3709,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.2144,
|
| 475 |
+
"grad_norm": 3.217880964279175,
|
| 476 |
+
"learning_rate": 8.271563342318059e-05,
|
| 477 |
+
"loss": 0.3194,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.2176,
|
| 482 |
+
"grad_norm": 3.9972708225250244,
|
| 483 |
+
"learning_rate": 8.237870619946092e-05,
|
| 484 |
+
"loss": 0.3249,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.2208,
|
| 489 |
+
"grad_norm": 2.758613109588623,
|
| 490 |
+
"learning_rate": 8.204177897574125e-05,
|
| 491 |
+
"loss": 0.2929,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.224,
|
| 496 |
+
"grad_norm": 3.3077003955841064,
|
| 497 |
+
"learning_rate": 8.170485175202158e-05,
|
| 498 |
+
"loss": 0.2982,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.2272,
|
| 503 |
+
"grad_norm": 3.283940315246582,
|
| 504 |
+
"learning_rate": 8.136792452830189e-05,
|
| 505 |
+
"loss": 0.2758,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.2304,
|
| 510 |
+
"grad_norm": 2.544793128967285,
|
| 511 |
+
"learning_rate": 8.103099730458221e-05,
|
| 512 |
+
"loss": 0.2943,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.2336,
|
| 517 |
+
"grad_norm": 2.6508431434631348,
|
| 518 |
+
"learning_rate": 8.069407008086254e-05,
|
| 519 |
+
"loss": 0.2791,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.2368,
|
| 524 |
+
"grad_norm": 3.0049996376037598,
|
| 525 |
+
"learning_rate": 8.035714285714287e-05,
|
| 526 |
+
"loss": 0.2808,
|
| 527 |
+
"step": 740
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.24,
|
| 531 |
+
"grad_norm": 3.1359918117523193,
|
| 532 |
+
"learning_rate": 8.002021563342318e-05,
|
| 533 |
+
"loss": 0.2658,
|
| 534 |
+
"step": 750
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.2432,
|
| 538 |
+
"grad_norm": 2.4908928871154785,
|
| 539 |
+
"learning_rate": 7.968328840970351e-05,
|
| 540 |
+
"loss": 0.2412,
|
| 541 |
+
"step": 760
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.2464,
|
| 545 |
+
"grad_norm": 3.4816462993621826,
|
| 546 |
+
"learning_rate": 7.934636118598383e-05,
|
| 547 |
+
"loss": 0.2347,
|
| 548 |
+
"step": 770
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.2496,
|
| 552 |
+
"grad_norm": 2.2120361328125,
|
| 553 |
+
"learning_rate": 7.900943396226416e-05,
|
| 554 |
+
"loss": 0.1969,
|
| 555 |
+
"step": 780
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.2528,
|
| 559 |
+
"grad_norm": 2.589252471923828,
|
| 560 |
+
"learning_rate": 7.867250673854449e-05,
|
| 561 |
+
"loss": 0.1985,
|
| 562 |
+
"step": 790
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.256,
|
| 566 |
+
"grad_norm": 3.6688730716705322,
|
| 567 |
+
"learning_rate": 7.83355795148248e-05,
|
| 568 |
+
"loss": 0.2202,
|
| 569 |
+
"step": 800
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.2592,
|
| 573 |
+
"grad_norm": 1.6741994619369507,
|
| 574 |
+
"learning_rate": 7.799865229110512e-05,
|
| 575 |
+
"loss": 0.1926,
|
| 576 |
+
"step": 810
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.2624,
|
| 580 |
+
"grad_norm": 1.583107352256775,
|
| 581 |
+
"learning_rate": 7.766172506738545e-05,
|
| 582 |
+
"loss": 0.1819,
|
| 583 |
+
"step": 820
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.2656,
|
| 587 |
+
"grad_norm": 3.296635389328003,
|
| 588 |
+
"learning_rate": 7.732479784366577e-05,
|
| 589 |
+
"loss": 0.1932,
|
| 590 |
+
"step": 830
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.2688,
|
| 594 |
+
"grad_norm": 2.3639001846313477,
|
| 595 |
+
"learning_rate": 7.69878706199461e-05,
|
| 596 |
+
"loss": 0.1878,
|
| 597 |
+
"step": 840
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.272,
|
| 601 |
+
"grad_norm": 1.4914251565933228,
|
| 602 |
+
"learning_rate": 7.665094339622642e-05,
|
| 603 |
+
"loss": 0.1477,
|
| 604 |
+
"step": 850
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.2752,
|
| 608 |
+
"grad_norm": 2.3486623764038086,
|
| 609 |
+
"learning_rate": 7.631401617250674e-05,
|
| 610 |
+
"loss": 0.1528,
|
| 611 |
+
"step": 860
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.2784,
|
| 615 |
+
"grad_norm": 1.2986149787902832,
|
| 616 |
+
"learning_rate": 7.597708894878706e-05,
|
| 617 |
+
"loss": 0.1699,
|
| 618 |
+
"step": 870
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.2816,
|
| 622 |
+
"grad_norm": 3.43965482711792,
|
| 623 |
+
"learning_rate": 7.56401617250674e-05,
|
| 624 |
+
"loss": 0.1868,
|
| 625 |
+
"step": 880
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.2848,
|
| 629 |
+
"grad_norm": 1.4145461320877075,
|
| 630 |
+
"learning_rate": 7.530323450134771e-05,
|
| 631 |
+
"loss": 0.1491,
|
| 632 |
+
"step": 890
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.288,
|
| 636 |
+
"grad_norm": 1.6416748762130737,
|
| 637 |
+
"learning_rate": 7.496630727762804e-05,
|
| 638 |
+
"loss": 0.1712,
|
| 639 |
+
"step": 900
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.2912,
|
| 643 |
+
"grad_norm": 2.666991949081421,
|
| 644 |
+
"learning_rate": 7.462938005390835e-05,
|
| 645 |
+
"loss": 0.257,
|
| 646 |
+
"step": 910
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.2944,
|
| 650 |
+
"grad_norm": 9.999999046325684,
|
| 651 |
+
"learning_rate": 7.429245283018868e-05,
|
| 652 |
+
"loss": 0.1845,
|
| 653 |
+
"step": 920
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.2976,
|
| 657 |
+
"grad_norm": 1.8368594646453857,
|
| 658 |
+
"learning_rate": 7.395552560646901e-05,
|
| 659 |
+
"loss": 0.1405,
|
| 660 |
+
"step": 930
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.3008,
|
| 664 |
+
"grad_norm": 2.364957571029663,
|
| 665 |
+
"learning_rate": 7.361859838274933e-05,
|
| 666 |
+
"loss": 0.1718,
|
| 667 |
+
"step": 940
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.304,
|
| 671 |
+
"grad_norm": 1.2922320365905762,
|
| 672 |
+
"learning_rate": 7.328167115902966e-05,
|
| 673 |
+
"loss": 0.1523,
|
| 674 |
+
"step": 950
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.3072,
|
| 678 |
+
"grad_norm": 2.202463150024414,
|
| 679 |
+
"learning_rate": 7.294474393530997e-05,
|
| 680 |
+
"loss": 0.1563,
|
| 681 |
+
"step": 960
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.3104,
|
| 685 |
+
"grad_norm": 3.0725717544555664,
|
| 686 |
+
"learning_rate": 7.26078167115903e-05,
|
| 687 |
+
"loss": 0.1351,
|
| 688 |
+
"step": 970
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.3136,
|
| 692 |
+
"grad_norm": 1.8276102542877197,
|
| 693 |
+
"learning_rate": 7.227088948787062e-05,
|
| 694 |
+
"loss": 0.1392,
|
| 695 |
+
"step": 980
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.3168,
|
| 699 |
+
"grad_norm": 2.689838409423828,
|
| 700 |
+
"learning_rate": 7.193396226415095e-05,
|
| 701 |
+
"loss": 0.1276,
|
| 702 |
+
"step": 990
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.32,
|
| 706 |
+
"grad_norm": 1.680222511291504,
|
| 707 |
+
"learning_rate": 7.159703504043128e-05,
|
| 708 |
+
"loss": 0.1284,
|
| 709 |
+
"step": 1000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.3232,
|
| 713 |
+
"grad_norm": 1.0360759496688843,
|
| 714 |
+
"learning_rate": 7.126010781671159e-05,
|
| 715 |
+
"loss": 0.1239,
|
| 716 |
+
"step": 1010
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.3264,
|
| 720 |
+
"grad_norm": 1.915683388710022,
|
| 721 |
+
"learning_rate": 7.092318059299192e-05,
|
| 722 |
+
"loss": 0.1361,
|
| 723 |
+
"step": 1020
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.3296,
|
| 727 |
+
"grad_norm": 1.8662254810333252,
|
| 728 |
+
"learning_rate": 7.058625336927224e-05,
|
| 729 |
+
"loss": 0.1408,
|
| 730 |
+
"step": 1030
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.3328,
|
| 734 |
+
"grad_norm": 1.5222748517990112,
|
| 735 |
+
"learning_rate": 7.024932614555257e-05,
|
| 736 |
+
"loss": 0.1047,
|
| 737 |
+
"step": 1040
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.336,
|
| 741 |
+
"grad_norm": 1.9447592496871948,
|
| 742 |
+
"learning_rate": 6.99123989218329e-05,
|
| 743 |
+
"loss": 0.1252,
|
| 744 |
+
"step": 1050
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.3392,
|
| 748 |
+
"grad_norm": 1.8480818271636963,
|
| 749 |
+
"learning_rate": 6.957547169811321e-05,
|
| 750 |
+
"loss": 0.1198,
|
| 751 |
+
"step": 1060
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.3424,
|
| 755 |
+
"grad_norm": 1.8532341718673706,
|
| 756 |
+
"learning_rate": 6.923854447439353e-05,
|
| 757 |
+
"loss": 0.1147,
|
| 758 |
+
"step": 1070
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.3456,
|
| 762 |
+
"grad_norm": 1.458263874053955,
|
| 763 |
+
"learning_rate": 6.890161725067386e-05,
|
| 764 |
+
"loss": 0.1041,
|
| 765 |
+
"step": 1080
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.3488,
|
| 769 |
+
"grad_norm": 0.8418246507644653,
|
| 770 |
+
"learning_rate": 6.856469002695418e-05,
|
| 771 |
+
"loss": 0.0934,
|
| 772 |
+
"step": 1090
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.352,
|
| 776 |
+
"grad_norm": 1.1937845945358276,
|
| 777 |
+
"learning_rate": 6.822776280323451e-05,
|
| 778 |
+
"loss": 0.1029,
|
| 779 |
+
"step": 1100
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.3552,
|
| 783 |
+
"grad_norm": 1.4058141708374023,
|
| 784 |
+
"learning_rate": 6.789083557951483e-05,
|
| 785 |
+
"loss": 0.1057,
|
| 786 |
+
"step": 1110
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.3584,
|
| 790 |
+
"grad_norm": 2.04742169380188,
|
| 791 |
+
"learning_rate": 6.755390835579514e-05,
|
| 792 |
+
"loss": 0.1136,
|
| 793 |
+
"step": 1120
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.3616,
|
| 797 |
+
"grad_norm": 1.3528432846069336,
|
| 798 |
+
"learning_rate": 6.721698113207547e-05,
|
| 799 |
+
"loss": 0.098,
|
| 800 |
+
"step": 1130
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.3648,
|
| 804 |
+
"grad_norm": 1.3083478212356567,
|
| 805 |
+
"learning_rate": 6.68800539083558e-05,
|
| 806 |
+
"loss": 0.0982,
|
| 807 |
+
"step": 1140
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.368,
|
| 811 |
+
"grad_norm": 1.3803431987762451,
|
| 812 |
+
"learning_rate": 6.654312668463612e-05,
|
| 813 |
+
"loss": 0.1011,
|
| 814 |
+
"step": 1150
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.3712,
|
| 818 |
+
"grad_norm": 1.8763604164123535,
|
| 819 |
+
"learning_rate": 6.620619946091643e-05,
|
| 820 |
+
"loss": 0.0976,
|
| 821 |
+
"step": 1160
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.3744,
|
| 825 |
+
"grad_norm": 1.459699273109436,
|
| 826 |
+
"learning_rate": 6.586927223719676e-05,
|
| 827 |
+
"loss": 0.1021,
|
| 828 |
+
"step": 1170
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.3776,
|
| 832 |
+
"grad_norm": 2.516188621520996,
|
| 833 |
+
"learning_rate": 6.553234501347709e-05,
|
| 834 |
+
"loss": 0.094,
|
| 835 |
+
"step": 1180
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.3808,
|
| 839 |
+
"grad_norm": 2.072133779525757,
|
| 840 |
+
"learning_rate": 6.519541778975742e-05,
|
| 841 |
+
"loss": 0.0951,
|
| 842 |
+
"step": 1190
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.384,
|
| 846 |
+
"grad_norm": 1.3856562376022339,
|
| 847 |
+
"learning_rate": 6.485849056603774e-05,
|
| 848 |
+
"loss": 0.085,
|
| 849 |
+
"step": 1200
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.3872,
|
| 853 |
+
"grad_norm": 1.524794101715088,
|
| 854 |
+
"learning_rate": 6.452156334231805e-05,
|
| 855 |
+
"loss": 0.0894,
|
| 856 |
+
"step": 1210
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.3904,
|
| 860 |
+
"grad_norm": 0.8352987170219421,
|
| 861 |
+
"learning_rate": 6.418463611859838e-05,
|
| 862 |
+
"loss": 0.0813,
|
| 863 |
+
"step": 1220
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.3936,
|
| 867 |
+
"grad_norm": 1.99660062789917,
|
| 868 |
+
"learning_rate": 6.384770889487871e-05,
|
| 869 |
+
"loss": 0.0941,
|
| 870 |
+
"step": 1230
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.3968,
|
| 874 |
+
"grad_norm": 1.9948227405548096,
|
| 875 |
+
"learning_rate": 6.351078167115904e-05,
|
| 876 |
+
"loss": 0.0943,
|
| 877 |
+
"step": 1240
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.4,
|
| 881 |
+
"grad_norm": 2.417297601699829,
|
| 882 |
+
"learning_rate": 6.317385444743936e-05,
|
| 883 |
+
"loss": 0.0903,
|
| 884 |
+
"step": 1250
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.4032,
|
| 888 |
+
"grad_norm": 1.255522608757019,
|
| 889 |
+
"learning_rate": 6.283692722371967e-05,
|
| 890 |
+
"loss": 0.0934,
|
| 891 |
+
"step": 1260
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.4064,
|
| 895 |
+
"grad_norm": 3.0397634506225586,
|
| 896 |
+
"learning_rate": 6.25e-05,
|
| 897 |
+
"loss": 0.0823,
|
| 898 |
+
"step": 1270
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.4096,
|
| 902 |
+
"grad_norm": 2.1224780082702637,
|
| 903 |
+
"learning_rate": 6.216307277628033e-05,
|
| 904 |
+
"loss": 0.0937,
|
| 905 |
+
"step": 1280
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.4128,
|
| 909 |
+
"grad_norm": 2.0656044483184814,
|
| 910 |
+
"learning_rate": 6.182614555256066e-05,
|
| 911 |
+
"loss": 0.0952,
|
| 912 |
+
"step": 1290
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.416,
|
| 916 |
+
"grad_norm": 1.334979772567749,
|
| 917 |
+
"learning_rate": 6.148921832884098e-05,
|
| 918 |
+
"loss": 0.0882,
|
| 919 |
+
"step": 1300
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.4192,
|
| 923 |
+
"grad_norm": 1.4411072731018066,
|
| 924 |
+
"learning_rate": 6.115229110512129e-05,
|
| 925 |
+
"loss": 0.0889,
|
| 926 |
+
"step": 1310
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.4224,
|
| 930 |
+
"grad_norm": 1.8725781440734863,
|
| 931 |
+
"learning_rate": 6.081536388140162e-05,
|
| 932 |
+
"loss": 0.0817,
|
| 933 |
+
"step": 1320
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.4256,
|
| 937 |
+
"grad_norm": 1.0607643127441406,
|
| 938 |
+
"learning_rate": 6.047843665768195e-05,
|
| 939 |
+
"loss": 0.0857,
|
| 940 |
+
"step": 1330
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.4288,
|
| 944 |
+
"grad_norm": 1.0576326847076416,
|
| 945 |
+
"learning_rate": 6.0141509433962265e-05,
|
| 946 |
+
"loss": 0.0813,
|
| 947 |
+
"step": 1340
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.432,
|
| 951 |
+
"grad_norm": 0.8751885294914246,
|
| 952 |
+
"learning_rate": 5.980458221024259e-05,
|
| 953 |
+
"loss": 0.0724,
|
| 954 |
+
"step": 1350
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.4352,
|
| 958 |
+
"grad_norm": 1.0008176565170288,
|
| 959 |
+
"learning_rate": 5.9467654986522916e-05,
|
| 960 |
+
"loss": 0.0801,
|
| 961 |
+
"step": 1360
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.4384,
|
| 965 |
+
"grad_norm": 1.0499143600463867,
|
| 966 |
+
"learning_rate": 5.913072776280324e-05,
|
| 967 |
+
"loss": 0.0827,
|
| 968 |
+
"step": 1370
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.4416,
|
| 972 |
+
"grad_norm": 1.6805224418640137,
|
| 973 |
+
"learning_rate": 5.879380053908357e-05,
|
| 974 |
+
"loss": 0.0764,
|
| 975 |
+
"step": 1380
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.4448,
|
| 979 |
+
"grad_norm": 1.0352784395217896,
|
| 980 |
+
"learning_rate": 5.8456873315363884e-05,
|
| 981 |
+
"loss": 0.0799,
|
| 982 |
+
"step": 1390
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.448,
|
| 986 |
+
"grad_norm": 1.2008415460586548,
|
| 987 |
+
"learning_rate": 5.8119946091644206e-05,
|
| 988 |
+
"loss": 0.0758,
|
| 989 |
+
"step": 1400
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.4512,
|
| 993 |
+
"grad_norm": 1.247338891029358,
|
| 994 |
+
"learning_rate": 5.7783018867924535e-05,
|
| 995 |
+
"loss": 0.0878,
|
| 996 |
+
"step": 1410
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.4544,
|
| 1000 |
+
"grad_norm": 0.975530207157135,
|
| 1001 |
+
"learning_rate": 5.744609164420486e-05,
|
| 1002 |
+
"loss": 0.072,
|
| 1003 |
+
"step": 1420
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.4576,
|
| 1007 |
+
"grad_norm": 1.0029404163360596,
|
| 1008 |
+
"learning_rate": 5.710916442048517e-05,
|
| 1009 |
+
"loss": 0.0722,
|
| 1010 |
+
"step": 1430
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.4608,
|
| 1014 |
+
"grad_norm": 0.8437648415565491,
|
| 1015 |
+
"learning_rate": 5.6772237196765496e-05,
|
| 1016 |
+
"loss": 0.0701,
|
| 1017 |
+
"step": 1440
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.464,
|
| 1021 |
+
"grad_norm": 1.1050156354904175,
|
| 1022 |
+
"learning_rate": 5.6435309973045825e-05,
|
| 1023 |
+
"loss": 0.0695,
|
| 1024 |
+
"step": 1450
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.4672,
|
| 1028 |
+
"grad_norm": 0.9750869870185852,
|
| 1029 |
+
"learning_rate": 5.609838274932615e-05,
|
| 1030 |
+
"loss": 0.0675,
|
| 1031 |
+
"step": 1460
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.4704,
|
| 1035 |
+
"grad_norm": 0.8726626038551331,
|
| 1036 |
+
"learning_rate": 5.5761455525606476e-05,
|
| 1037 |
+
"loss": 0.0721,
|
| 1038 |
+
"step": 1470
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.4736,
|
| 1042 |
+
"grad_norm": 3.020092725753784,
|
| 1043 |
+
"learning_rate": 5.542452830188679e-05,
|
| 1044 |
+
"loss": 0.0687,
|
| 1045 |
+
"step": 1480
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.4768,
|
| 1049 |
+
"grad_norm": 1.3524830341339111,
|
| 1050 |
+
"learning_rate": 5.5087601078167114e-05,
|
| 1051 |
+
"loss": 0.0721,
|
| 1052 |
+
"step": 1490
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.48,
|
| 1056 |
+
"grad_norm": 1.7134172916412354,
|
| 1057 |
+
"learning_rate": 5.4750673854447444e-05,
|
| 1058 |
+
"loss": 0.0727,
|
| 1059 |
+
"step": 1500
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.4832,
|
| 1063 |
+
"grad_norm": 1.3195223808288574,
|
| 1064 |
+
"learning_rate": 5.4413746630727766e-05,
|
| 1065 |
+
"loss": 0.0702,
|
| 1066 |
+
"step": 1510
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.4864,
|
| 1070 |
+
"grad_norm": 1.1717275381088257,
|
| 1071 |
+
"learning_rate": 5.407681940700808e-05,
|
| 1072 |
+
"loss": 0.0754,
|
| 1073 |
+
"step": 1520
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.4896,
|
| 1077 |
+
"grad_norm": 0.9258642792701721,
|
| 1078 |
+
"learning_rate": 5.373989218328841e-05,
|
| 1079 |
+
"loss": 0.0596,
|
| 1080 |
+
"step": 1530
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.4928,
|
| 1084 |
+
"grad_norm": 1.4086549282073975,
|
| 1085 |
+
"learning_rate": 5.340296495956873e-05,
|
| 1086 |
+
"loss": 0.0631,
|
| 1087 |
+
"step": 1540
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.496,
|
| 1091 |
+
"grad_norm": 1.211665153503418,
|
| 1092 |
+
"learning_rate": 5.306603773584906e-05,
|
| 1093 |
+
"loss": 0.0748,
|
| 1094 |
+
"step": 1550
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.4992,
|
| 1098 |
+
"grad_norm": 1.8159215450286865,
|
| 1099 |
+
"learning_rate": 5.2729110512129385e-05,
|
| 1100 |
+
"loss": 0.0696,
|
| 1101 |
+
"step": 1560
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.5024,
|
| 1105 |
+
"grad_norm": 1.5430232286453247,
|
| 1106 |
+
"learning_rate": 5.23921832884097e-05,
|
| 1107 |
+
"loss": 0.0629,
|
| 1108 |
+
"step": 1570
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.5056,
|
| 1112 |
+
"grad_norm": 0.971611499786377,
|
| 1113 |
+
"learning_rate": 5.205525606469003e-05,
|
| 1114 |
+
"loss": 0.0647,
|
| 1115 |
+
"step": 1580
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.5088,
|
| 1119 |
+
"grad_norm": 2.795301675796509,
|
| 1120 |
+
"learning_rate": 5.171832884097035e-05,
|
| 1121 |
+
"loss": 0.0689,
|
| 1122 |
+
"step": 1590
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.512,
|
| 1126 |
+
"grad_norm": 1.0469309091567993,
|
| 1127 |
+
"learning_rate": 5.138140161725068e-05,
|
| 1128 |
+
"loss": 0.0649,
|
| 1129 |
+
"step": 1600
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.5152,
|
| 1133 |
+
"grad_norm": 1.5577256679534912,
|
| 1134 |
+
"learning_rate": 5.1044474393531e-05,
|
| 1135 |
+
"loss": 0.0619,
|
| 1136 |
+
"step": 1610
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.5184,
|
| 1140 |
+
"grad_norm": 1.732717752456665,
|
| 1141 |
+
"learning_rate": 5.070754716981132e-05,
|
| 1142 |
+
"loss": 0.0622,
|
| 1143 |
+
"step": 1620
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.5216,
|
| 1147 |
+
"grad_norm": 1.4120196104049683,
|
| 1148 |
+
"learning_rate": 5.037061994609165e-05,
|
| 1149 |
+
"loss": 0.0672,
|
| 1150 |
+
"step": 1630
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.5248,
|
| 1154 |
+
"grad_norm": 1.2306411266326904,
|
| 1155 |
+
"learning_rate": 5.003369272237197e-05,
|
| 1156 |
+
"loss": 0.064,
|
| 1157 |
+
"step": 1640
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.528,
|
| 1161 |
+
"grad_norm": 2.0534772872924805,
|
| 1162 |
+
"learning_rate": 4.969676549865229e-05,
|
| 1163 |
+
"loss": 0.0664,
|
| 1164 |
+
"step": 1650
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.5312,
|
| 1168 |
+
"grad_norm": 1.562451720237732,
|
| 1169 |
+
"learning_rate": 4.9359838274932616e-05,
|
| 1170 |
+
"loss": 0.0665,
|
| 1171 |
+
"step": 1660
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.5344,
|
| 1175 |
+
"grad_norm": 1.1336791515350342,
|
| 1176 |
+
"learning_rate": 4.902291105121294e-05,
|
| 1177 |
+
"loss": 0.0561,
|
| 1178 |
+
"step": 1670
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.5376,
|
| 1182 |
+
"grad_norm": 0.9556323885917664,
|
| 1183 |
+
"learning_rate": 4.868598382749327e-05,
|
| 1184 |
+
"loss": 0.0579,
|
| 1185 |
+
"step": 1680
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.5408,
|
| 1189 |
+
"grad_norm": 1.3072831630706787,
|
| 1190 |
+
"learning_rate": 4.834905660377358e-05,
|
| 1191 |
+
"loss": 0.0591,
|
| 1192 |
+
"step": 1690
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.544,
|
| 1196 |
+
"grad_norm": 0.9365288019180298,
|
| 1197 |
+
"learning_rate": 4.801212938005391e-05,
|
| 1198 |
+
"loss": 0.0615,
|
| 1199 |
+
"step": 1700
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.5472,
|
| 1203 |
+
"grad_norm": 0.8340426683425903,
|
| 1204 |
+
"learning_rate": 4.7675202156334234e-05,
|
| 1205 |
+
"loss": 0.0613,
|
| 1206 |
+
"step": 1710
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.5504,
|
| 1210 |
+
"grad_norm": 1.1264219284057617,
|
| 1211 |
+
"learning_rate": 4.733827493261456e-05,
|
| 1212 |
+
"loss": 0.0569,
|
| 1213 |
+
"step": 1720
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.5536,
|
| 1217 |
+
"grad_norm": 1.1999742984771729,
|
| 1218 |
+
"learning_rate": 4.7001347708894886e-05,
|
| 1219 |
+
"loss": 0.0593,
|
| 1220 |
+
"step": 1730
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.5568,
|
| 1224 |
+
"grad_norm": 1.1102709770202637,
|
| 1225 |
+
"learning_rate": 4.66644204851752e-05,
|
| 1226 |
+
"loss": 0.0613,
|
| 1227 |
+
"step": 1740
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.56,
|
| 1231 |
+
"grad_norm": 1.0732330083847046,
|
| 1232 |
+
"learning_rate": 4.632749326145553e-05,
|
| 1233 |
+
"loss": 0.056,
|
| 1234 |
+
"step": 1750
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.5632,
|
| 1238 |
+
"grad_norm": 1.3392184972763062,
|
| 1239 |
+
"learning_rate": 4.5990566037735846e-05,
|
| 1240 |
+
"loss": 0.0546,
|
| 1241 |
+
"step": 1760
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.5664,
|
| 1245 |
+
"grad_norm": 1.005621314048767,
|
| 1246 |
+
"learning_rate": 4.5653638814016176e-05,
|
| 1247 |
+
"loss": 0.0589,
|
| 1248 |
+
"step": 1770
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.5696,
|
| 1252 |
+
"grad_norm": 1.4382975101470947,
|
| 1253 |
+
"learning_rate": 4.53167115902965e-05,
|
| 1254 |
+
"loss": 0.0597,
|
| 1255 |
+
"step": 1780
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.5728,
|
| 1259 |
+
"grad_norm": 1.4868929386138916,
|
| 1260 |
+
"learning_rate": 4.497978436657682e-05,
|
| 1261 |
+
"loss": 0.0566,
|
| 1262 |
+
"step": 1790
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.576,
|
| 1266 |
+
"grad_norm": 0.7314358353614807,
|
| 1267 |
+
"learning_rate": 4.464285714285715e-05,
|
| 1268 |
+
"loss": 0.0497,
|
| 1269 |
+
"step": 1800
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.5792,
|
| 1273 |
+
"grad_norm": 0.8784840106964111,
|
| 1274 |
+
"learning_rate": 4.4305929919137465e-05,
|
| 1275 |
+
"loss": 0.0517,
|
| 1276 |
+
"step": 1810
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.5824,
|
| 1280 |
+
"grad_norm": 2.5038092136383057,
|
| 1281 |
+
"learning_rate": 4.3969002695417794e-05,
|
| 1282 |
+
"loss": 0.0628,
|
| 1283 |
+
"step": 1820
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.5856,
|
| 1287 |
+
"grad_norm": 0.8334175944328308,
|
| 1288 |
+
"learning_rate": 4.363207547169812e-05,
|
| 1289 |
+
"loss": 0.0532,
|
| 1290 |
+
"step": 1830
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.5888,
|
| 1294 |
+
"grad_norm": 0.9410456418991089,
|
| 1295 |
+
"learning_rate": 4.329514824797844e-05,
|
| 1296 |
+
"loss": 0.0508,
|
| 1297 |
+
"step": 1840
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.592,
|
| 1301 |
+
"grad_norm": 0.974979817867279,
|
| 1302 |
+
"learning_rate": 4.295822102425876e-05,
|
| 1303 |
+
"loss": 0.0581,
|
| 1304 |
+
"step": 1850
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.5952,
|
| 1308 |
+
"grad_norm": 0.8645688891410828,
|
| 1309 |
+
"learning_rate": 4.2621293800539084e-05,
|
| 1310 |
+
"loss": 0.0541,
|
| 1311 |
+
"step": 1860
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.5984,
|
| 1315 |
+
"grad_norm": 0.647721529006958,
|
| 1316 |
+
"learning_rate": 4.2284366576819406e-05,
|
| 1317 |
+
"loss": 0.05,
|
| 1318 |
+
"step": 1870
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.6016,
|
| 1322 |
+
"grad_norm": 0.8814899325370789,
|
| 1323 |
+
"learning_rate": 4.1947439353099736e-05,
|
| 1324 |
+
"loss": 0.0504,
|
| 1325 |
+
"step": 1880
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.6048,
|
| 1329 |
+
"grad_norm": 0.835896372795105,
|
| 1330 |
+
"learning_rate": 4.161051212938006e-05,
|
| 1331 |
+
"loss": 0.06,
|
| 1332 |
+
"step": 1890
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.608,
|
| 1336 |
+
"grad_norm": 1.4004669189453125,
|
| 1337 |
+
"learning_rate": 4.127358490566038e-05,
|
| 1338 |
+
"loss": 0.0514,
|
| 1339 |
+
"step": 1900
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.6112,
|
| 1343 |
+
"grad_norm": 1.7096471786499023,
|
| 1344 |
+
"learning_rate": 4.09366576819407e-05,
|
| 1345 |
+
"loss": 0.0554,
|
| 1346 |
+
"step": 1910
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.6144,
|
| 1350 |
+
"grad_norm": 0.7163381576538086,
|
| 1351 |
+
"learning_rate": 4.0599730458221025e-05,
|
| 1352 |
+
"loss": 0.0531,
|
| 1353 |
+
"step": 1920
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.6176,
|
| 1357 |
+
"grad_norm": 0.8033366799354553,
|
| 1358 |
+
"learning_rate": 4.026280323450135e-05,
|
| 1359 |
+
"loss": 0.0535,
|
| 1360 |
+
"step": 1930
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.6208,
|
| 1364 |
+
"grad_norm": 1.36751389503479,
|
| 1365 |
+
"learning_rate": 3.992587601078167e-05,
|
| 1366 |
+
"loss": 0.0537,
|
| 1367 |
+
"step": 1940
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.624,
|
| 1371 |
+
"grad_norm": 0.6608594655990601,
|
| 1372 |
+
"learning_rate": 3.9588948787062e-05,
|
| 1373 |
+
"loss": 0.0508,
|
| 1374 |
+
"step": 1950
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.6272,
|
| 1378 |
+
"grad_norm": 1.4556374549865723,
|
| 1379 |
+
"learning_rate": 3.9252021563342315e-05,
|
| 1380 |
+
"loss": 0.054,
|
| 1381 |
+
"step": 1960
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.6304,
|
| 1385 |
+
"grad_norm": 1.026332139968872,
|
| 1386 |
+
"learning_rate": 3.8915094339622644e-05,
|
| 1387 |
+
"loss": 0.0557,
|
| 1388 |
+
"step": 1970
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.6336,
|
| 1392 |
+
"grad_norm": 1.2365747690200806,
|
| 1393 |
+
"learning_rate": 3.8578167115902966e-05,
|
| 1394 |
+
"loss": 0.0511,
|
| 1395 |
+
"step": 1980
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.6368,
|
| 1399 |
+
"grad_norm": 1.0087261199951172,
|
| 1400 |
+
"learning_rate": 3.824123989218329e-05,
|
| 1401 |
+
"loss": 0.0426,
|
| 1402 |
+
"step": 1990
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.64,
|
| 1406 |
+
"grad_norm": 0.8160260915756226,
|
| 1407 |
+
"learning_rate": 3.790431266846362e-05,
|
| 1408 |
+
"loss": 0.0452,
|
| 1409 |
+
"step": 2000
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.6432,
|
| 1413 |
+
"grad_norm": 1.6539990901947021,
|
| 1414 |
+
"learning_rate": 3.7567385444743934e-05,
|
| 1415 |
+
"loss": 0.0489,
|
| 1416 |
+
"step": 2010
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.6464,
|
| 1420 |
+
"grad_norm": 0.5857284069061279,
|
| 1421 |
+
"learning_rate": 3.723045822102426e-05,
|
| 1422 |
+
"loss": 0.0447,
|
| 1423 |
+
"step": 2020
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.6496,
|
| 1427 |
+
"grad_norm": 0.8850499987602234,
|
| 1428 |
+
"learning_rate": 3.689353099730458e-05,
|
| 1429 |
+
"loss": 0.0481,
|
| 1430 |
+
"step": 2030
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.6528,
|
| 1434 |
+
"grad_norm": 0.9914937019348145,
|
| 1435 |
+
"learning_rate": 3.655660377358491e-05,
|
| 1436 |
+
"loss": 0.0502,
|
| 1437 |
+
"step": 2040
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.656,
|
| 1441 |
+
"grad_norm": 0.9070343971252441,
|
| 1442 |
+
"learning_rate": 3.621967654986524e-05,
|
| 1443 |
+
"loss": 0.0471,
|
| 1444 |
+
"step": 2050
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.6592,
|
| 1448 |
+
"grad_norm": 0.9179836511611938,
|
| 1449 |
+
"learning_rate": 3.588274932614555e-05,
|
| 1450 |
+
"loss": 0.0436,
|
| 1451 |
+
"step": 2060
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.6624,
|
| 1455 |
+
"grad_norm": 0.7364044785499573,
|
| 1456 |
+
"learning_rate": 3.554582210242588e-05,
|
| 1457 |
+
"loss": 0.0486,
|
| 1458 |
+
"step": 2070
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.6656,
|
| 1462 |
+
"grad_norm": 0.6488219499588013,
|
| 1463 |
+
"learning_rate": 3.52088948787062e-05,
|
| 1464 |
+
"loss": 0.046,
|
| 1465 |
+
"step": 2080
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.6688,
|
| 1469 |
+
"grad_norm": 1.5407613515853882,
|
| 1470 |
+
"learning_rate": 3.4871967654986526e-05,
|
| 1471 |
+
"loss": 0.0494,
|
| 1472 |
+
"step": 2090
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.672,
|
| 1476 |
+
"grad_norm": 2.3234798908233643,
|
| 1477 |
+
"learning_rate": 3.453504043126685e-05,
|
| 1478 |
+
"loss": 0.0457,
|
| 1479 |
+
"step": 2100
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.6752,
|
| 1483 |
+
"grad_norm": 1.3606553077697754,
|
| 1484 |
+
"learning_rate": 3.419811320754717e-05,
|
| 1485 |
+
"loss": 0.0461,
|
| 1486 |
+
"step": 2110
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.6784,
|
| 1490 |
+
"grad_norm": 1.338086724281311,
|
| 1491 |
+
"learning_rate": 3.3861185983827494e-05,
|
| 1492 |
+
"loss": 0.0412,
|
| 1493 |
+
"step": 2120
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.6816,
|
| 1497 |
+
"grad_norm": 0.8436578512191772,
|
| 1498 |
+
"learning_rate": 3.3524258760107816e-05,
|
| 1499 |
+
"loss": 0.0487,
|
| 1500 |
+
"step": 2130
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.6848,
|
| 1504 |
+
"grad_norm": 0.9895771145820618,
|
| 1505 |
+
"learning_rate": 3.3187331536388145e-05,
|
| 1506 |
+
"loss": 0.0477,
|
| 1507 |
+
"step": 2140
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.688,
|
| 1511 |
+
"grad_norm": 1.4392690658569336,
|
| 1512 |
+
"learning_rate": 3.285040431266847e-05,
|
| 1513 |
+
"loss": 0.0381,
|
| 1514 |
+
"step": 2150
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.6912,
|
| 1518 |
+
"grad_norm": 0.8517897129058838,
|
| 1519 |
+
"learning_rate": 3.251347708894879e-05,
|
| 1520 |
+
"loss": 0.0513,
|
| 1521 |
+
"step": 2160
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.6944,
|
| 1525 |
+
"grad_norm": 0.765490710735321,
|
| 1526 |
+
"learning_rate": 3.217654986522911e-05,
|
| 1527 |
+
"loss": 0.0471,
|
| 1528 |
+
"step": 2170
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.6976,
|
| 1532 |
+
"grad_norm": 0.95233154296875,
|
| 1533 |
+
"learning_rate": 3.1839622641509435e-05,
|
| 1534 |
+
"loss": 0.0435,
|
| 1535 |
+
"step": 2180
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.7008,
|
| 1539 |
+
"grad_norm": 0.9749875068664551,
|
| 1540 |
+
"learning_rate": 3.150269541778976e-05,
|
| 1541 |
+
"loss": 0.0443,
|
| 1542 |
+
"step": 2190
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.704,
|
| 1546 |
+
"grad_norm": 1.3162479400634766,
|
| 1547 |
+
"learning_rate": 3.1165768194070086e-05,
|
| 1548 |
+
"loss": 0.0419,
|
| 1549 |
+
"step": 2200
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.7072,
|
| 1553 |
+
"grad_norm": 0.9644461870193481,
|
| 1554 |
+
"learning_rate": 3.08288409703504e-05,
|
| 1555 |
+
"loss": 0.0443,
|
| 1556 |
+
"step": 2210
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.7104,
|
| 1560 |
+
"grad_norm": 1.3393887281417847,
|
| 1561 |
+
"learning_rate": 3.0491913746630728e-05,
|
| 1562 |
+
"loss": 0.0462,
|
| 1563 |
+
"step": 2220
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.7136,
|
| 1567 |
+
"grad_norm": 0.9995754361152649,
|
| 1568 |
+
"learning_rate": 3.0154986522911054e-05,
|
| 1569 |
+
"loss": 0.0443,
|
| 1570 |
+
"step": 2230
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.7168,
|
| 1574 |
+
"grad_norm": 1.211478590965271,
|
| 1575 |
+
"learning_rate": 2.9818059299191376e-05,
|
| 1576 |
+
"loss": 0.0462,
|
| 1577 |
+
"step": 2240
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.72,
|
| 1581 |
+
"grad_norm": 0.6780794858932495,
|
| 1582 |
+
"learning_rate": 2.9481132075471702e-05,
|
| 1583 |
+
"loss": 0.0426,
|
| 1584 |
+
"step": 2250
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.7232,
|
| 1588 |
+
"grad_norm": 0.8342995047569275,
|
| 1589 |
+
"learning_rate": 2.914420485175202e-05,
|
| 1590 |
+
"loss": 0.0423,
|
| 1591 |
+
"step": 2260
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.7264,
|
| 1595 |
+
"grad_norm": 1.2715864181518555,
|
| 1596 |
+
"learning_rate": 2.8807277628032347e-05,
|
| 1597 |
+
"loss": 0.0449,
|
| 1598 |
+
"step": 2270
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.7296,
|
| 1602 |
+
"grad_norm": 0.8093573451042175,
|
| 1603 |
+
"learning_rate": 2.847035040431267e-05,
|
| 1604 |
+
"loss": 0.0465,
|
| 1605 |
+
"step": 2280
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.7328,
|
| 1609 |
+
"grad_norm": 1.1649224758148193,
|
| 1610 |
+
"learning_rate": 2.8133423180592995e-05,
|
| 1611 |
+
"loss": 0.0488,
|
| 1612 |
+
"step": 2290
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.736,
|
| 1616 |
+
"grad_norm": 1.2314190864562988,
|
| 1617 |
+
"learning_rate": 2.7796495956873314e-05,
|
| 1618 |
+
"loss": 0.0475,
|
| 1619 |
+
"step": 2300
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.7392,
|
| 1623 |
+
"grad_norm": 0.9177021980285645,
|
| 1624 |
+
"learning_rate": 2.745956873315364e-05,
|
| 1625 |
+
"loss": 0.047,
|
| 1626 |
+
"step": 2310
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.7424,
|
| 1630 |
+
"grad_norm": 1.1093103885650635,
|
| 1631 |
+
"learning_rate": 2.7122641509433965e-05,
|
| 1632 |
+
"loss": 0.0417,
|
| 1633 |
+
"step": 2320
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.7456,
|
| 1637 |
+
"grad_norm": 0.7009869813919067,
|
| 1638 |
+
"learning_rate": 2.6785714285714288e-05,
|
| 1639 |
+
"loss": 0.0416,
|
| 1640 |
+
"step": 2330
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.7488,
|
| 1644 |
+
"grad_norm": 1.0457608699798584,
|
| 1645 |
+
"learning_rate": 2.6448787061994614e-05,
|
| 1646 |
+
"loss": 0.0471,
|
| 1647 |
+
"step": 2340
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.752,
|
| 1651 |
+
"grad_norm": 0.8647756576538086,
|
| 1652 |
+
"learning_rate": 2.6111859838274933e-05,
|
| 1653 |
+
"loss": 0.0479,
|
| 1654 |
+
"step": 2350
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.7552,
|
| 1658 |
+
"grad_norm": 0.8496474027633667,
|
| 1659 |
+
"learning_rate": 2.577493261455526e-05,
|
| 1660 |
+
"loss": 0.0388,
|
| 1661 |
+
"step": 2360
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.7584,
|
| 1665 |
+
"grad_norm": 0.8979694843292236,
|
| 1666 |
+
"learning_rate": 2.5438005390835577e-05,
|
| 1667 |
+
"loss": 0.0428,
|
| 1668 |
+
"step": 2370
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.7616,
|
| 1672 |
+
"grad_norm": 1.0336112976074219,
|
| 1673 |
+
"learning_rate": 2.5101078167115903e-05,
|
| 1674 |
+
"loss": 0.04,
|
| 1675 |
+
"step": 2380
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.7648,
|
| 1679 |
+
"grad_norm": 0.8268937468528748,
|
| 1680 |
+
"learning_rate": 2.476415094339623e-05,
|
| 1681 |
+
"loss": 0.0412,
|
| 1682 |
+
"step": 2390
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.768,
|
| 1686 |
+
"grad_norm": 0.759469747543335,
|
| 1687 |
+
"learning_rate": 2.442722371967655e-05,
|
| 1688 |
+
"loss": 0.0415,
|
| 1689 |
+
"step": 2400
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.7712,
|
| 1693 |
+
"grad_norm": 0.9482242465019226,
|
| 1694 |
+
"learning_rate": 2.4090296495956874e-05,
|
| 1695 |
+
"loss": 0.0392,
|
| 1696 |
+
"step": 2410
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.7744,
|
| 1700 |
+
"grad_norm": 0.8537123799324036,
|
| 1701 |
+
"learning_rate": 2.3753369272237196e-05,
|
| 1702 |
+
"loss": 0.0472,
|
| 1703 |
+
"step": 2420
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.7776,
|
| 1707 |
+
"grad_norm": 0.6745234727859497,
|
| 1708 |
+
"learning_rate": 2.341644204851752e-05,
|
| 1709 |
+
"loss": 0.0449,
|
| 1710 |
+
"step": 2430
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.7808,
|
| 1714 |
+
"grad_norm": 0.9895679950714111,
|
| 1715 |
+
"learning_rate": 2.3079514824797844e-05,
|
| 1716 |
+
"loss": 0.0419,
|
| 1717 |
+
"step": 2440
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.784,
|
| 1721 |
+
"grad_norm": 4.300079822540283,
|
| 1722 |
+
"learning_rate": 2.274258760107817e-05,
|
| 1723 |
+
"loss": 0.0851,
|
| 1724 |
+
"step": 2450
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.7872,
|
| 1728 |
+
"grad_norm": 0.8699926137924194,
|
| 1729 |
+
"learning_rate": 2.2405660377358493e-05,
|
| 1730 |
+
"loss": 0.0445,
|
| 1731 |
+
"step": 2460
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.7904,
|
| 1735 |
+
"grad_norm": 0.7995278239250183,
|
| 1736 |
+
"learning_rate": 2.2068733153638815e-05,
|
| 1737 |
+
"loss": 0.0404,
|
| 1738 |
+
"step": 2470
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.7936,
|
| 1742 |
+
"grad_norm": 1.3382374048233032,
|
| 1743 |
+
"learning_rate": 2.1731805929919137e-05,
|
| 1744 |
+
"loss": 0.0399,
|
| 1745 |
+
"step": 2480
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.7968,
|
| 1749 |
+
"grad_norm": 0.7148540616035461,
|
| 1750 |
+
"learning_rate": 2.1394878706199463e-05,
|
| 1751 |
+
"loss": 0.0412,
|
| 1752 |
+
"step": 2490
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.8,
|
| 1756 |
+
"grad_norm": 1.0621765851974487,
|
| 1757 |
+
"learning_rate": 2.1057951482479785e-05,
|
| 1758 |
+
"loss": 0.0372,
|
| 1759 |
+
"step": 2500
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.8032,
|
| 1763 |
+
"grad_norm": 1.328330636024475,
|
| 1764 |
+
"learning_rate": 2.0721024258760108e-05,
|
| 1765 |
+
"loss": 0.0395,
|
| 1766 |
+
"step": 2510
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.8064,
|
| 1770 |
+
"grad_norm": 0.7691792249679565,
|
| 1771 |
+
"learning_rate": 2.038409703504043e-05,
|
| 1772 |
+
"loss": 0.0423,
|
| 1773 |
+
"step": 2520
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.8096,
|
| 1777 |
+
"grad_norm": 0.8384915590286255,
|
| 1778 |
+
"learning_rate": 2.0047169811320756e-05,
|
| 1779 |
+
"loss": 0.0402,
|
| 1780 |
+
"step": 2530
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.8128,
|
| 1784 |
+
"grad_norm": 1.1409624814987183,
|
| 1785 |
+
"learning_rate": 1.971024258760108e-05,
|
| 1786 |
+
"loss": 0.0395,
|
| 1787 |
+
"step": 2540
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.816,
|
| 1791 |
+
"grad_norm": 0.9339775443077087,
|
| 1792 |
+
"learning_rate": 1.9373315363881404e-05,
|
| 1793 |
+
"loss": 0.0457,
|
| 1794 |
+
"step": 2550
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.8192,
|
| 1798 |
+
"grad_norm": 1.1918686628341675,
|
| 1799 |
+
"learning_rate": 1.9036388140161727e-05,
|
| 1800 |
+
"loss": 0.042,
|
| 1801 |
+
"step": 2560
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.8224,
|
| 1805 |
+
"grad_norm": 0.655660092830658,
|
| 1806 |
+
"learning_rate": 1.869946091644205e-05,
|
| 1807 |
+
"loss": 0.0365,
|
| 1808 |
+
"step": 2570
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.8256,
|
| 1812 |
+
"grad_norm": 1.1334338188171387,
|
| 1813 |
+
"learning_rate": 1.836253369272237e-05,
|
| 1814 |
+
"loss": 0.0468,
|
| 1815 |
+
"step": 2580
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.8288,
|
| 1819 |
+
"grad_norm": 1.0458253622055054,
|
| 1820 |
+
"learning_rate": 1.8025606469002694e-05,
|
| 1821 |
+
"loss": 0.0392,
|
| 1822 |
+
"step": 2590
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.832,
|
| 1826 |
+
"grad_norm": 0.9219187498092651,
|
| 1827 |
+
"learning_rate": 1.768867924528302e-05,
|
| 1828 |
+
"loss": 0.0381,
|
| 1829 |
+
"step": 2600
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.8352,
|
| 1833 |
+
"grad_norm": 0.7008917927742004,
|
| 1834 |
+
"learning_rate": 1.7351752021563345e-05,
|
| 1835 |
+
"loss": 0.0406,
|
| 1836 |
+
"step": 2610
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.8384,
|
| 1840 |
+
"grad_norm": 0.8411391973495483,
|
| 1841 |
+
"learning_rate": 1.7014824797843668e-05,
|
| 1842 |
+
"loss": 0.038,
|
| 1843 |
+
"step": 2620
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.8416,
|
| 1847 |
+
"grad_norm": 1.0414551496505737,
|
| 1848 |
+
"learning_rate": 1.667789757412399e-05,
|
| 1849 |
+
"loss": 0.0388,
|
| 1850 |
+
"step": 2630
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.8448,
|
| 1854 |
+
"grad_norm": 0.8157031536102295,
|
| 1855 |
+
"learning_rate": 1.6340970350404313e-05,
|
| 1856 |
+
"loss": 0.044,
|
| 1857 |
+
"step": 2640
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.848,
|
| 1861 |
+
"grad_norm": 1.8497180938720703,
|
| 1862 |
+
"learning_rate": 1.600404312668464e-05,
|
| 1863 |
+
"loss": 0.0396,
|
| 1864 |
+
"step": 2650
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.8512,
|
| 1868 |
+
"grad_norm": 1.7988622188568115,
|
| 1869 |
+
"learning_rate": 1.566711590296496e-05,
|
| 1870 |
+
"loss": 0.0388,
|
| 1871 |
+
"step": 2660
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.8544,
|
| 1875 |
+
"grad_norm": 1.505881667137146,
|
| 1876 |
+
"learning_rate": 1.5330188679245283e-05,
|
| 1877 |
+
"loss": 0.0401,
|
| 1878 |
+
"step": 2670
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.8576,
|
| 1882 |
+
"grad_norm": 1.3370205163955688,
|
| 1883 |
+
"learning_rate": 1.4993261455525606e-05,
|
| 1884 |
+
"loss": 0.039,
|
| 1885 |
+
"step": 2680
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.8608,
|
| 1889 |
+
"grad_norm": 0.7456148862838745,
|
| 1890 |
+
"learning_rate": 1.465633423180593e-05,
|
| 1891 |
+
"loss": 0.0368,
|
| 1892 |
+
"step": 2690
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.864,
|
| 1896 |
+
"grad_norm": 0.8330332040786743,
|
| 1897 |
+
"learning_rate": 1.4319407008086256e-05,
|
| 1898 |
+
"loss": 0.0402,
|
| 1899 |
+
"step": 2700
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.8672,
|
| 1903 |
+
"grad_norm": 0.8216585516929626,
|
| 1904 |
+
"learning_rate": 1.3982479784366578e-05,
|
| 1905 |
+
"loss": 0.0403,
|
| 1906 |
+
"step": 2710
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.8704,
|
| 1910 |
+
"grad_norm": 0.9162799715995789,
|
| 1911 |
+
"learning_rate": 1.3645552560646902e-05,
|
| 1912 |
+
"loss": 0.0369,
|
| 1913 |
+
"step": 2720
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.8736,
|
| 1917 |
+
"grad_norm": 0.9739064574241638,
|
| 1918 |
+
"learning_rate": 1.3308625336927224e-05,
|
| 1919 |
+
"loss": 0.0396,
|
| 1920 |
+
"step": 2730
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.8768,
|
| 1924 |
+
"grad_norm": 0.8707442283630371,
|
| 1925 |
+
"learning_rate": 1.2971698113207547e-05,
|
| 1926 |
+
"loss": 0.0368,
|
| 1927 |
+
"step": 2740
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.88,
|
| 1931 |
+
"grad_norm": 0.678347110748291,
|
| 1932 |
+
"learning_rate": 1.2634770889487871e-05,
|
| 1933 |
+
"loss": 0.0351,
|
| 1934 |
+
"step": 2750
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.8832,
|
| 1938 |
+
"grad_norm": 1.152178168296814,
|
| 1939 |
+
"learning_rate": 1.2297843665768195e-05,
|
| 1940 |
+
"loss": 0.041,
|
| 1941 |
+
"step": 2760
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.8864,
|
| 1945 |
+
"grad_norm": 0.7693957090377808,
|
| 1946 |
+
"learning_rate": 1.1960916442048519e-05,
|
| 1947 |
+
"loss": 0.0378,
|
| 1948 |
+
"step": 2770
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.8896,
|
| 1952 |
+
"grad_norm": 1.3139463663101196,
|
| 1953 |
+
"learning_rate": 1.1623989218328842e-05,
|
| 1954 |
+
"loss": 0.0403,
|
| 1955 |
+
"step": 2780
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.8928,
|
| 1959 |
+
"grad_norm": 0.9965353012084961,
|
| 1960 |
+
"learning_rate": 1.1287061994609164e-05,
|
| 1961 |
+
"loss": 0.0344,
|
| 1962 |
+
"step": 2790
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.896,
|
| 1966 |
+
"grad_norm": 1.0216691493988037,
|
| 1967 |
+
"learning_rate": 1.0950134770889488e-05,
|
| 1968 |
+
"loss": 0.0396,
|
| 1969 |
+
"step": 2800
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.8992,
|
| 1973 |
+
"grad_norm": 0.5650272965431213,
|
| 1974 |
+
"learning_rate": 1.0613207547169812e-05,
|
| 1975 |
+
"loss": 0.035,
|
| 1976 |
+
"step": 2810
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.9024,
|
| 1980 |
+
"grad_norm": 1.3575382232666016,
|
| 1981 |
+
"learning_rate": 1.0276280323450135e-05,
|
| 1982 |
+
"loss": 0.038,
|
| 1983 |
+
"step": 2820
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.9056,
|
| 1987 |
+
"grad_norm": 0.7426192164421082,
|
| 1988 |
+
"learning_rate": 9.939353099730459e-06,
|
| 1989 |
+
"loss": 0.0374,
|
| 1990 |
+
"step": 2830
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.9088,
|
| 1994 |
+
"grad_norm": 1.6532901525497437,
|
| 1995 |
+
"learning_rate": 9.602425876010781e-06,
|
| 1996 |
+
"loss": 0.0385,
|
| 1997 |
+
"step": 2840
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.912,
|
| 2001 |
+
"grad_norm": 1.0569813251495361,
|
| 2002 |
+
"learning_rate": 9.265498652291107e-06,
|
| 2003 |
+
"loss": 0.0381,
|
| 2004 |
+
"step": 2850
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.9152,
|
| 2008 |
+
"grad_norm": 0.6354155540466309,
|
| 2009 |
+
"learning_rate": 8.92857142857143e-06,
|
| 2010 |
+
"loss": 0.0381,
|
| 2011 |
+
"step": 2860
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.9184,
|
| 2015 |
+
"grad_norm": 0.6795879602432251,
|
| 2016 |
+
"learning_rate": 8.591644204851752e-06,
|
| 2017 |
+
"loss": 0.04,
|
| 2018 |
+
"step": 2870
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.9216,
|
| 2022 |
+
"grad_norm": 1.0496159791946411,
|
| 2023 |
+
"learning_rate": 8.254716981132076e-06,
|
| 2024 |
+
"loss": 0.0385,
|
| 2025 |
+
"step": 2880
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.9248,
|
| 2029 |
+
"grad_norm": 0.6077241897583008,
|
| 2030 |
+
"learning_rate": 7.9177897574124e-06,
|
| 2031 |
+
"loss": 0.0392,
|
| 2032 |
+
"step": 2890
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.928,
|
| 2036 |
+
"grad_norm": 0.7129323482513428,
|
| 2037 |
+
"learning_rate": 7.580862533692723e-06,
|
| 2038 |
+
"loss": 0.0359,
|
| 2039 |
+
"step": 2900
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.9312,
|
| 2043 |
+
"grad_norm": 0.6670847535133362,
|
| 2044 |
+
"learning_rate": 7.243935309973046e-06,
|
| 2045 |
+
"loss": 0.0385,
|
| 2046 |
+
"step": 2910
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.9344,
|
| 2050 |
+
"grad_norm": 1.0024406909942627,
|
| 2051 |
+
"learning_rate": 6.90700808625337e-06,
|
| 2052 |
+
"loss": 0.0318,
|
| 2053 |
+
"step": 2920
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.9376,
|
| 2057 |
+
"grad_norm": 0.7983542680740356,
|
| 2058 |
+
"learning_rate": 6.570080862533692e-06,
|
| 2059 |
+
"loss": 0.0336,
|
| 2060 |
+
"step": 2930
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.9408,
|
| 2064 |
+
"grad_norm": 0.9120166301727295,
|
| 2065 |
+
"learning_rate": 6.233153638814016e-06,
|
| 2066 |
+
"loss": 0.0398,
|
| 2067 |
+
"step": 2940
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.944,
|
| 2071 |
+
"grad_norm": 0.7662246227264404,
|
| 2072 |
+
"learning_rate": 5.89622641509434e-06,
|
| 2073 |
+
"loss": 0.0391,
|
| 2074 |
+
"step": 2950
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.9472,
|
| 2078 |
+
"grad_norm": 1.092923641204834,
|
| 2079 |
+
"learning_rate": 5.5592991913746634e-06,
|
| 2080 |
+
"loss": 0.0358,
|
| 2081 |
+
"step": 2960
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.9504,
|
| 2085 |
+
"grad_norm": 0.9875261187553406,
|
| 2086 |
+
"learning_rate": 5.222371967654987e-06,
|
| 2087 |
+
"loss": 0.0388,
|
| 2088 |
+
"step": 2970
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.9536,
|
| 2092 |
+
"grad_norm": 0.6102545857429504,
|
| 2093 |
+
"learning_rate": 4.88544474393531e-06,
|
| 2094 |
+
"loss": 0.0327,
|
| 2095 |
+
"step": 2980
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.9568,
|
| 2099 |
+
"grad_norm": 1.5828185081481934,
|
| 2100 |
+
"learning_rate": 4.548517520215634e-06,
|
| 2101 |
+
"loss": 0.0378,
|
| 2102 |
+
"step": 2990
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.96,
|
| 2106 |
+
"grad_norm": 1.5497301816940308,
|
| 2107 |
+
"learning_rate": 4.211590296495957e-06,
|
| 2108 |
+
"loss": 0.0396,
|
| 2109 |
+
"step": 3000
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.9632,
|
| 2113 |
+
"grad_norm": 0.9273558259010315,
|
| 2114 |
+
"learning_rate": 3.8746630727762805e-06,
|
| 2115 |
+
"loss": 0.036,
|
| 2116 |
+
"step": 3010
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.9664,
|
| 2120 |
+
"grad_norm": 0.8762300610542297,
|
| 2121 |
+
"learning_rate": 3.5377358490566038e-06,
|
| 2122 |
+
"loss": 0.0336,
|
| 2123 |
+
"step": 3020
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.9696,
|
| 2127 |
+
"grad_norm": 1.1286474466323853,
|
| 2128 |
+
"learning_rate": 3.200808625336928e-06,
|
| 2129 |
+
"loss": 0.035,
|
| 2130 |
+
"step": 3030
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.9728,
|
| 2134 |
+
"grad_norm": 0.9490174651145935,
|
| 2135 |
+
"learning_rate": 2.8638814016172507e-06,
|
| 2136 |
+
"loss": 0.0339,
|
| 2137 |
+
"step": 3040
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.976,
|
| 2141 |
+
"grad_norm": 0.6286265850067139,
|
| 2142 |
+
"learning_rate": 2.5269541778975744e-06,
|
| 2143 |
+
"loss": 0.0332,
|
| 2144 |
+
"step": 3050
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 0.9792,
|
| 2148 |
+
"grad_norm": 0.9210827350616455,
|
| 2149 |
+
"learning_rate": 2.1900269541778976e-06,
|
| 2150 |
+
"loss": 0.0384,
|
| 2151 |
+
"step": 3060
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 0.9824,
|
| 2155 |
+
"grad_norm": 0.7867606282234192,
|
| 2156 |
+
"learning_rate": 1.853099730458221e-06,
|
| 2157 |
+
"loss": 0.0425,
|
| 2158 |
+
"step": 3070
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.9856,
|
| 2162 |
+
"grad_norm": 1.2552579641342163,
|
| 2163 |
+
"learning_rate": 1.5161725067385445e-06,
|
| 2164 |
+
"loss": 0.0329,
|
| 2165 |
+
"step": 3080
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.9888,
|
| 2169 |
+
"grad_norm": 0.4516272246837616,
|
| 2170 |
+
"learning_rate": 1.179245283018868e-06,
|
| 2171 |
+
"loss": 0.0348,
|
| 2172 |
+
"step": 3090
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.992,
|
| 2176 |
+
"grad_norm": 0.9391326904296875,
|
| 2177 |
+
"learning_rate": 8.423180592991913e-07,
|
| 2178 |
+
"loss": 0.039,
|
| 2179 |
+
"step": 3100
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.9952,
|
| 2183 |
+
"grad_norm": 1.3417290449142456,
|
| 2184 |
+
"learning_rate": 5.053908355795148e-07,
|
| 2185 |
+
"loss": 0.0374,
|
| 2186 |
+
"step": 3110
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.9984,
|
| 2190 |
+
"grad_norm": 0.6872617602348328,
|
| 2191 |
+
"learning_rate": 1.684636118598383e-07,
|
| 2192 |
+
"loss": 0.0321,
|
| 2193 |
+
"step": 3120
|
| 2194 |
+
}
|
| 2195 |
+
],
|
| 2196 |
+
"logging_steps": 10,
|
| 2197 |
+
"max_steps": 3125,
|
| 2198 |
+
"num_input_tokens_seen": 0,
|
| 2199 |
+
"num_train_epochs": 1,
|
| 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": true
|
| 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 sha256:63dac56d38db16167e1b22287533d1716fda191bdf1dad6325013266ff8b52b5
|
| 3 |
+
size 5304
|
checkpoint-3125/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 +1,314 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
step,training_loss,grad_norm
|
| 2 |
+
10,24.9631,10.0
|
| 3 |
+
20,20.8404,9.999998092651367
|
| 4 |
+
30,18.8159,10.0
|
| 5 |
+
40,20.6325,10.0
|
| 6 |
+
50,17.4707,10.0
|
| 7 |
+
60,15.7267,9.999999046325684
|
| 8 |
+
70,14.4446,10.000000953674316
|
| 9 |
+
80,12.1937,9.999998092651367
|
| 10 |
+
90,9.5339,9.999999046325684
|
| 11 |
+
100,6.8862,9.999999046325684
|
| 12 |
+
110,6.4802,9.999999046325684
|
| 13 |
+
120,4.1698,9.999998092651367
|
| 14 |
+
130,3.6582,9.999999046325684
|
| 15 |
+
140,3.0036,8.310874938964844
|
| 16 |
+
150,2.5991,8.249914169311523
|
| 17 |
+
160,2.0956,6.633706092834473
|
| 18 |
+
170,1.8054,4.844052791595459
|
| 19 |
+
180,1.5541,5.696422100067139
|
| 20 |
+
190,1.5431,5.249777793884277
|
| 21 |
+
200,1.5084,4.493651866912842
|
| 22 |
+
210,1.3255,3.875426769256592
|
| 23 |
+
220,1.368,3.985583782196045
|
| 24 |
+
230,1.2237,3.1382219791412354
|
| 25 |
+
240,1.1944,3.6973352432250977
|
| 26 |
+
250,1.1278,4.306434154510498
|
| 27 |
+
260,1.1202,4.24944543838501
|
| 28 |
+
270,1.0113,4.12693977355957
|
| 29 |
+
280,1.0587,3.7358357906341553
|
| 30 |
+
290,0.9658,4.148690223693848
|
| 31 |
+
300,1.0358,4.104267120361328
|
| 32 |
+
310,0.9948,3.458801746368408
|
| 33 |
+
320,0.8794,2.915538787841797
|
| 34 |
+
330,0.9644,3.209948778152466
|
| 35 |
+
340,0.9274,3.135376214981079
|
| 36 |
+
350,0.9099,3.4967312812805176
|
| 37 |
+
360,0.8661,3.2876088619232178
|
| 38 |
+
370,0.8903,3.465593099594116
|
| 39 |
+
380,0.8406,3.491227388381958
|
| 40 |
+
390,0.8485,3.153066396713257
|
| 41 |
+
400,0.8795,4.715076446533203
|
| 42 |
+
410,0.8124,3.2449190616607666
|
| 43 |
+
420,0.7733,3.496378183364868
|
| 44 |
+
430,0.7438,3.975687265396118
|
| 45 |
+
440,0.7557,4.541060447692871
|
| 46 |
+
450,0.7744,3.7180514335632324
|
| 47 |
+
460,0.7894,4.477784156799316
|
| 48 |
+
470,0.664,6.005988121032715
|
| 49 |
+
480,0.6678,3.6489133834838867
|
| 50 |
+
490,0.6436,4.066476821899414
|
| 51 |
+
500,0.6698,2.9249703884124756
|
| 52 |
+
510,0.6342,3.470515489578247
|
| 53 |
+
520,0.6154,3.9201626777648926
|
| 54 |
+
530,0.5471,3.164458990097046
|
| 55 |
+
540,0.6391,8.615708351135254
|
| 56 |
+
550,0.5768,2.548628330230713
|
| 57 |
+
560,0.5361,5.320557594299316
|
| 58 |
+
570,0.542,5.885339736938477
|
| 59 |
+
580,0.572,3.641576051712036
|
| 60 |
+
590,0.5329,4.401009559631348
|
| 61 |
+
600,0.5004,3.0472371578216553
|
| 62 |
+
610,0.4432,4.5183491706848145
|
| 63 |
+
620,0.438,4.483486175537109
|
| 64 |
+
630,0.4345,3.5213429927825928
|
| 65 |
+
640,0.391,2.9145050048828125
|
| 66 |
+
650,0.3555,2.7155418395996094
|
| 67 |
+
660,0.3709,2.8801558017730713
|
| 68 |
+
670,0.3194,3.217880964279175
|
| 69 |
+
680,0.3249,3.9972708225250244
|
| 70 |
+
690,0.2929,2.758613109588623
|
| 71 |
+
700,0.2982,3.3077003955841064
|
| 72 |
+
710,0.2758,3.283940315246582
|
| 73 |
+
720,0.2943,2.544793128967285
|
| 74 |
+
730,0.2791,2.6508431434631348
|
| 75 |
+
740,0.2808,3.0049996376037598
|
| 76 |
+
750,0.2658,3.1359918117523193
|
| 77 |
+
760,0.2412,2.4908928871154785
|
| 78 |
+
770,0.2347,3.4816462993621826
|
| 79 |
+
780,0.1969,2.2120361328125
|
| 80 |
+
790,0.1985,2.589252471923828
|
| 81 |
+
800,0.2202,3.6688730716705322
|
| 82 |
+
810,0.1926,1.6741994619369507
|
| 83 |
+
820,0.1819,1.583107352256775
|
| 84 |
+
830,0.1932,3.296635389328003
|
| 85 |
+
840,0.1878,2.3639001846313477
|
| 86 |
+
850,0.1477,1.4914251565933228
|
| 87 |
+
860,0.1528,2.3486623764038086
|
| 88 |
+
870,0.1699,1.2986149787902832
|
| 89 |
+
880,0.1868,3.43965482711792
|
| 90 |
+
890,0.1491,1.4145461320877075
|
| 91 |
+
900,0.1712,1.6416748762130737
|
| 92 |
+
910,0.257,2.666991949081421
|
| 93 |
+
920,0.1845,9.999999046325684
|
| 94 |
+
930,0.1405,1.8368594646453857
|
| 95 |
+
940,0.1718,2.364957571029663
|
| 96 |
+
950,0.1523,1.2922320365905762
|
| 97 |
+
960,0.1563,2.202463150024414
|
| 98 |
+
970,0.1351,3.0725717544555664
|
| 99 |
+
980,0.1392,1.8276102542877197
|
| 100 |
+
990,0.1276,2.689838409423828
|
| 101 |
+
1000,0.1284,1.680222511291504
|
| 102 |
+
1010,0.1239,1.0360759496688843
|
| 103 |
+
1020,0.1361,1.915683388710022
|
| 104 |
+
1030,0.1408,1.8662254810333252
|
| 105 |
+
1040,0.1047,1.5222748517990112
|
| 106 |
+
1050,0.1252,1.9447592496871948
|
| 107 |
+
1060,0.1198,1.8480818271636963
|
| 108 |
+
1070,0.1147,1.8532341718673706
|
| 109 |
+
1080,0.1041,1.458263874053955
|
| 110 |
+
1090,0.0934,0.8418246507644653
|
| 111 |
+
1100,0.1029,1.1937845945358276
|
| 112 |
+
1110,0.1057,1.4058141708374023
|
| 113 |
+
1120,0.1136,2.04742169380188
|
| 114 |
+
1130,0.098,1.3528432846069336
|
| 115 |
+
1140,0.0982,1.3083478212356567
|
| 116 |
+
1150,0.1011,1.3803431987762451
|
| 117 |
+
1160,0.0976,1.8763604164123535
|
| 118 |
+
1170,0.1021,1.459699273109436
|
| 119 |
+
1180,0.094,2.516188621520996
|
| 120 |
+
1190,0.0951,2.072133779525757
|
| 121 |
+
1200,0.085,1.3856562376022339
|
| 122 |
+
1210,0.0894,1.524794101715088
|
| 123 |
+
1220,0.0813,0.8352987170219421
|
| 124 |
+
1230,0.0941,1.99660062789917
|
| 125 |
+
1240,0.0943,1.9948227405548096
|
| 126 |
+
1250,0.0903,2.417297601699829
|
| 127 |
+
1260,0.0934,1.255522608757019
|
| 128 |
+
1270,0.0823,3.0397634506225586
|
| 129 |
+
1280,0.0937,2.1224780082702637
|
| 130 |
+
1290,0.0952,2.0656044483184814
|
| 131 |
+
1300,0.0882,1.334979772567749
|
| 132 |
+
1310,0.0889,1.4411072731018066
|
| 133 |
+
1320,0.0817,1.8725781440734863
|
| 134 |
+
1330,0.0857,1.0607643127441406
|
| 135 |
+
1340,0.0813,1.0576326847076416
|
| 136 |
+
1350,0.0724,0.8751885294914246
|
| 137 |
+
1360,0.0801,1.0008176565170288
|
| 138 |
+
1370,0.0827,1.0499143600463867
|
| 139 |
+
1380,0.0764,1.6805224418640137
|
| 140 |
+
1390,0.0799,1.0352784395217896
|
| 141 |
+
1400,0.0758,1.2008415460586548
|
| 142 |
+
1410,0.0878,1.247338891029358
|
| 143 |
+
1420,0.072,0.975530207157135
|
| 144 |
+
1430,0.0722,1.0029404163360596
|
| 145 |
+
1440,0.0701,0.8437648415565491
|
| 146 |
+
1450,0.0695,1.1050156354904175
|
| 147 |
+
1460,0.0675,0.9750869870185852
|
| 148 |
+
1470,0.0721,0.8726626038551331
|
| 149 |
+
1480,0.0687,3.020092725753784
|
| 150 |
+
1490,0.0721,1.3524830341339111
|
| 151 |
+
1500,0.0727,1.7134172916412354
|
| 152 |
+
1510,0.0702,1.3195223808288574
|
| 153 |
+
1520,0.0754,1.1717275381088257
|
| 154 |
+
1530,0.0596,0.9258642792701721
|
| 155 |
+
1540,0.0631,1.4086549282073975
|
| 156 |
+
1550,0.0748,1.211665153503418
|
| 157 |
+
1560,0.0696,1.8159215450286865
|
| 158 |
+
1570,0.0629,1.5430232286453247
|
| 159 |
+
1580,0.0647,0.971611499786377
|
| 160 |
+
1590,0.0689,2.795301675796509
|
| 161 |
+
1600,0.0649,1.0469309091567993
|
| 162 |
+
1610,0.0619,1.5577256679534912
|
| 163 |
+
1620,0.0622,1.732717752456665
|
| 164 |
+
1630,0.0672,1.4120196104049683
|
| 165 |
+
1640,0.064,1.2306411266326904
|
| 166 |
+
1650,0.0664,2.0534772872924805
|
| 167 |
+
1660,0.0665,1.562451720237732
|
| 168 |
+
1670,0.0561,1.1336791515350342
|
| 169 |
+
1680,0.0579,0.9556323885917664
|
| 170 |
+
1690,0.0591,1.3072831630706787
|
| 171 |
+
1700,0.0615,0.9365288019180298
|
| 172 |
+
1710,0.0613,0.8340426683425903
|
| 173 |
+
1720,0.0569,1.1264219284057617
|
| 174 |
+
1730,0.0593,1.1999742984771729
|
| 175 |
+
1740,0.0613,1.1102709770202637
|
| 176 |
+
1750,0.056,1.0732330083847046
|
| 177 |
+
1760,0.0546,1.3392184972763062
|
| 178 |
+
1770,0.0589,1.005621314048767
|
| 179 |
+
1780,0.0597,1.4382975101470947
|
| 180 |
+
1790,0.0566,1.4868929386138916
|
| 181 |
+
1800,0.0497,0.7314358353614807
|
| 182 |
+
1810,0.0517,0.8784840106964111
|
| 183 |
+
1820,0.0628,2.5038092136383057
|
| 184 |
+
1830,0.0532,0.8334175944328308
|
| 185 |
+
1840,0.0508,0.9410456418991089
|
| 186 |
+
1850,0.0581,0.974979817867279
|
| 187 |
+
1860,0.0541,0.8645688891410828
|
| 188 |
+
1870,0.05,0.647721529006958
|
| 189 |
+
1880,0.0504,0.8814899325370789
|
| 190 |
+
1890,0.06,0.835896372795105
|
| 191 |
+
1900,0.0514,1.4004669189453125
|
| 192 |
+
1910,0.0554,1.7096471786499023
|
| 193 |
+
1920,0.0531,0.7163381576538086
|
| 194 |
+
1930,0.0535,0.8033366799354553
|
| 195 |
+
1940,0.0537,1.36751389503479
|
| 196 |
+
1950,0.0508,0.6608594655990601
|
| 197 |
+
1960,0.054,1.4556374549865723
|
| 198 |
+
1970,0.0557,1.026332139968872
|
| 199 |
+
1980,0.0511,1.2365747690200806
|
| 200 |
+
1990,0.0426,1.0087261199951172
|
| 201 |
+
2000,0.0452,0.8160260915756226
|
| 202 |
+
2010,0.0489,1.6539990901947021
|
| 203 |
+
2020,0.0447,0.5857284069061279
|
| 204 |
+
2030,0.0481,0.8850499987602234
|
| 205 |
+
2040,0.0502,0.9914937019348145
|
| 206 |
+
2050,0.0471,0.9070343971252441
|
| 207 |
+
2060,0.0436,0.9179836511611938
|
| 208 |
+
2070,0.0486,0.7364044785499573
|
| 209 |
+
2080,0.046,0.6488219499588013
|
| 210 |
+
2090,0.0494,1.5407613515853882
|
| 211 |
+
2100,0.0457,2.3234798908233643
|
| 212 |
+
2110,0.0461,1.3606553077697754
|
| 213 |
+
2120,0.0412,1.338086724281311
|
| 214 |
+
2130,0.0487,0.8436578512191772
|
| 215 |
+
2140,0.0477,0.9895771145820618
|
| 216 |
+
2150,0.0381,1.4392690658569336
|
| 217 |
+
2160,0.0513,0.8517897129058838
|
| 218 |
+
2170,0.0471,0.765490710735321
|
| 219 |
+
2180,0.0435,0.95233154296875
|
| 220 |
+
2190,0.0443,0.9749875068664551
|
| 221 |
+
2200,0.0419,1.3162479400634766
|
| 222 |
+
2210,0.0443,0.9644461870193481
|
| 223 |
+
2220,0.0462,1.3393887281417847
|
| 224 |
+
2230,0.0443,0.9995754361152649
|
| 225 |
+
2240,0.0462,1.211478590965271
|
| 226 |
+
2250,0.0426,0.6780794858932495
|
| 227 |
+
2260,0.0423,0.8342995047569275
|
| 228 |
+
2270,0.0449,1.2715864181518555
|
| 229 |
+
2280,0.0465,0.8093573451042175
|
| 230 |
+
2290,0.0488,1.1649224758148193
|
| 231 |
+
2300,0.0475,1.2314190864562988
|
| 232 |
+
2310,0.047,0.9177021980285645
|
| 233 |
+
2320,0.0417,1.1093103885650635
|
| 234 |
+
2330,0.0416,0.7009869813919067
|
| 235 |
+
2340,0.0471,1.0457608699798584
|
| 236 |
+
2350,0.0479,0.8647756576538086
|
| 237 |
+
2360,0.0388,0.8496474027633667
|
| 238 |
+
2370,0.0428,0.8979694843292236
|
| 239 |
+
2380,0.04,1.0336112976074219
|
| 240 |
+
2390,0.0412,0.8268937468528748
|
| 241 |
+
2400,0.0415,0.759469747543335
|
| 242 |
+
2410,0.0392,0.9482242465019226
|
| 243 |
+
2420,0.0472,0.8537123799324036
|
| 244 |
+
2430,0.0449,0.6745234727859497
|
| 245 |
+
2440,0.0419,0.9895679950714111
|
| 246 |
+
2450,0.0851,4.300079822540283
|
| 247 |
+
2460,0.0445,0.8699926137924194
|
| 248 |
+
2470,0.0404,0.7995278239250183
|
| 249 |
+
2480,0.0399,1.3382374048233032
|
| 250 |
+
2490,0.0412,0.7148540616035461
|
| 251 |
+
2500,0.0372,1.0621765851974487
|
| 252 |
+
2510,0.0395,1.328330636024475
|
| 253 |
+
2520,0.0423,0.7691792249679565
|
| 254 |
+
2530,0.0402,0.8384915590286255
|
| 255 |
+
2540,0.0395,1.1409624814987183
|
| 256 |
+
2550,0.0457,0.9339775443077087
|
| 257 |
+
2560,0.042,1.1918686628341675
|
| 258 |
+
2570,0.0365,0.655660092830658
|
| 259 |
+
2580,0.0468,1.1334338188171387
|
| 260 |
+
2590,0.0392,1.0458253622055054
|
| 261 |
+
2600,0.0381,0.9219187498092651
|
| 262 |
+
2610,0.0406,0.7008917927742004
|
| 263 |
+
2620,0.038,0.8411391973495483
|
| 264 |
+
2630,0.0388,1.0414551496505737
|
| 265 |
+
2640,0.044,0.8157031536102295
|
| 266 |
+
2650,0.0396,1.8497180938720703
|
| 267 |
+
2660,0.0388,1.7988622188568115
|
| 268 |
+
2670,0.0401,1.505881667137146
|
| 269 |
+
2680,0.039,1.3370205163955688
|
| 270 |
+
2690,0.0368,0.7456148862838745
|
| 271 |
+
2700,0.0402,0.8330332040786743
|
| 272 |
+
2710,0.0403,0.8216585516929626
|
| 273 |
+
2720,0.0369,0.9162799715995789
|
| 274 |
+
2730,0.0396,0.9739064574241638
|
| 275 |
+
2740,0.0368,0.8707442283630371
|
| 276 |
+
2750,0.0351,0.678347110748291
|
| 277 |
+
2760,0.041,1.152178168296814
|
| 278 |
+
2770,0.0378,0.7693957090377808
|
| 279 |
+
2780,0.0403,1.3139463663101196
|
| 280 |
+
2790,0.0344,0.9965353012084961
|
| 281 |
+
2800,0.0396,1.0216691493988037
|
| 282 |
+
2810,0.035,0.5650272965431213
|
| 283 |
+
2820,0.038,1.3575382232666016
|
| 284 |
+
2830,0.0374,0.7426192164421082
|
| 285 |
+
2840,0.0385,1.6532901525497437
|
| 286 |
+
2850,0.0381,1.0569813251495361
|
| 287 |
+
2860,0.0381,0.6354155540466309
|
| 288 |
+
2870,0.04,0.6795879602432251
|
| 289 |
+
2880,0.0385,1.0496159791946411
|
| 290 |
+
2890,0.0392,0.6077241897583008
|
| 291 |
+
2900,0.0359,0.7129323482513428
|
| 292 |
+
2910,0.0385,0.6670847535133362
|
| 293 |
+
2920,0.0318,1.0024406909942627
|
| 294 |
+
2930,0.0336,0.7983542680740356
|
| 295 |
+
2940,0.0398,0.9120166301727295
|
| 296 |
+
2950,0.0391,0.7662246227264404
|
| 297 |
+
2960,0.0358,1.092923641204834
|
| 298 |
+
2970,0.0388,0.9875261187553406
|
| 299 |
+
2980,0.0327,0.6102545857429504
|
| 300 |
+
2990,0.0378,1.5828185081481934
|
| 301 |
+
3000,0.0396,1.5497301816940308
|
| 302 |
+
3010,0.036,0.9273558259010315
|
| 303 |
+
3020,0.0336,0.8762300610542297
|
| 304 |
+
3030,0.035,1.1286474466323853
|
| 305 |
+
3040,0.0339,0.9490174651145935
|
| 306 |
+
3050,0.0332,0.6286265850067139
|
| 307 |
+
3060,0.0384,0.9210827350616455
|
| 308 |
+
3070,0.0425,0.7867606282234192
|
| 309 |
+
3080,0.0329,1.2552579641342163
|
| 310 |
+
3090,0.0348,0.4516272246837616
|
| 311 |
+
3100,0.039,0.9391326904296875
|
| 312 |
+
3110,0.0374,1.3417290449142456
|
| 313 |
+
3120,0.0321,0.6872617602348328
|
| 314 |
+
3125,nan,nan
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|