Upload folder using huggingface_hub
Browse files- README.md +207 -0
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- checkpoint-3000/README.md +207 -0
- checkpoint-3000/adapter_config.json +37 -0
- checkpoint-3000/adapter_model.safetensors +3 -0
- checkpoint-3000/optimizer.pt +3 -0
- checkpoint-3000/rng_state.pth +3 -0
- checkpoint-3000/scheduler.pt +3 -0
- checkpoint-3000/special_tokens_map.json +30 -0
- checkpoint-3000/tokenizer.json +0 -0
- checkpoint-3000/tokenizer_config.json +84 -0
- checkpoint-3000/trainer_state.json +2134 -0
- checkpoint-3000/training_args.bin +3 -0
- checkpoint-3125/README.md +207 -0
- checkpoint-3125/adapter_config.json +37 -0
- checkpoint-3125/adapter_model.safetensors +3 -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 +30 -0
- checkpoint-3125/tokenizer.json +0 -0
- checkpoint-3125/tokenizer_config.json +84 -0
- checkpoint-3125/trainer_state.json +2218 -0
- checkpoint-3125/training_args.bin +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +84 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: codellama/CodeLlama-7b-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:codellama/CodeLlama-7b-hf
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "codellama/CodeLlama-7b-hf",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 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": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"v_proj",
|
| 29 |
+
"q_proj"
|
| 30 |
+
],
|
| 31 |
+
"target_parameters": null,
|
| 32 |
+
"task_type": "CAUSAL_LM",
|
| 33 |
+
"trainable_token_indices": null,
|
| 34 |
+
"use_dora": false,
|
| 35 |
+
"use_qalora": false,
|
| 36 |
+
"use_rslora": false
|
| 37 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0bdb8787bae35baf3d6e5b6d10ff2e190d61f0c3420b79d0e366b8ff26442ce9
|
| 3 |
+
size 33571624
|
checkpoint-3000/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: codellama/CodeLlama-7b-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:codellama/CodeLlama-7b-hf
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.0
|
checkpoint-3000/adapter_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "codellama/CodeLlama-7b-hf",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 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": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"v_proj",
|
| 29 |
+
"q_proj"
|
| 30 |
+
],
|
| 31 |
+
"target_parameters": null,
|
| 32 |
+
"task_type": "CAUSAL_LM",
|
| 33 |
+
"trainable_token_indices": null,
|
| 34 |
+
"use_dora": false,
|
| 35 |
+
"use_qalora": false,
|
| 36 |
+
"use_rslora": false
|
| 37 |
+
}
|
checkpoint-3000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9900d86cc37384c20cca70737b013b0928f50f5a9a3e33debef20f8f16e45c67
|
| 3 |
+
size 33571624
|
checkpoint-3000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:82f10377dc4eb3ae5240186c439bdb3e079b95339b5284f83dedf8e0e598ebb2
|
| 3 |
+
size 67217483
|
checkpoint-3000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9531aeb35289b4611bac1121804eb79c967714334efb7bdabee8d481eb046a6a
|
| 3 |
+
size 14645
|
checkpoint-3000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:81df897721e400f5b5859df1fde7a94ac8ce530a536858379452822491946162
|
| 3 |
+
size 1465
|
checkpoint-3000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"β<PRE>",
|
| 4 |
+
"β<MID>",
|
| 5 |
+
"β<SUF>",
|
| 6 |
+
"β<EOT>"
|
| 7 |
+
],
|
| 8 |
+
"bos_token": {
|
| 9 |
+
"content": "<s>",
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"normalized": false,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
},
|
| 15 |
+
"eos_token": {
|
| 16 |
+
"content": "</s>",
|
| 17 |
+
"lstrip": false,
|
| 18 |
+
"normalized": false,
|
| 19 |
+
"rstrip": false,
|
| 20 |
+
"single_word": false
|
| 21 |
+
},
|
| 22 |
+
"pad_token": "</s>",
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
checkpoint-3000/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-3000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32007": {
|
| 30 |
+
"content": "β<PRE>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32008": {
|
| 38 |
+
"content": "β<SUF>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"32009": {
|
| 46 |
+
"content": "β<MID>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"32010": {
|
| 54 |
+
"content": "β<EOT>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"additional_special_tokens": [
|
| 63 |
+
"β<PRE>",
|
| 64 |
+
"β<MID>",
|
| 65 |
+
"β<SUF>",
|
| 66 |
+
"β<EOT>"
|
| 67 |
+
],
|
| 68 |
+
"bos_token": "<s>",
|
| 69 |
+
"clean_up_tokenization_spaces": false,
|
| 70 |
+
"eos_token": "</s>",
|
| 71 |
+
"eot_token": "β<EOT>",
|
| 72 |
+
"extra_special_tokens": {},
|
| 73 |
+
"fill_token": "<FILL_ME>",
|
| 74 |
+
"legacy": null,
|
| 75 |
+
"middle_token": "β<MID>",
|
| 76 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 77 |
+
"pad_token": "</s>",
|
| 78 |
+
"prefix_token": "β<PRE>",
|
| 79 |
+
"sp_model_kwargs": {},
|
| 80 |
+
"suffix_token": "β<SUF>",
|
| 81 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
| 82 |
+
"unk_token": "<unk>",
|
| 83 |
+
"use_default_system_prompt": false
|
| 84 |
+
}
|
checkpoint-3000/trainer_state.json
ADDED
|
@@ -0,0 +1,2134 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.96,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 3000,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0032,
|
| 14 |
+
"grad_norm": 0.09734748303890228,
|
| 15 |
+
"learning_rate": 9.9712e-06,
|
| 16 |
+
"loss": 1.6245,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.0064,
|
| 21 |
+
"grad_norm": 0.0981544628739357,
|
| 22 |
+
"learning_rate": 9.939200000000001e-06,
|
| 23 |
+
"loss": 1.5375,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.0096,
|
| 28 |
+
"grad_norm": 0.09418202936649323,
|
| 29 |
+
"learning_rate": 9.9072e-06,
|
| 30 |
+
"loss": 1.5647,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.0128,
|
| 35 |
+
"grad_norm": 0.10748359560966492,
|
| 36 |
+
"learning_rate": 9.8752e-06,
|
| 37 |
+
"loss": 1.6781,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.016,
|
| 42 |
+
"grad_norm": 0.12658047676086426,
|
| 43 |
+
"learning_rate": 9.843200000000001e-06,
|
| 44 |
+
"loss": 1.5854,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.0192,
|
| 49 |
+
"grad_norm": 0.1334228664636612,
|
| 50 |
+
"learning_rate": 9.8112e-06,
|
| 51 |
+
"loss": 1.5453,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.0224,
|
| 56 |
+
"grad_norm": 0.15112873911857605,
|
| 57 |
+
"learning_rate": 9.779200000000001e-06,
|
| 58 |
+
"loss": 1.5721,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.0256,
|
| 63 |
+
"grad_norm": 0.140653595328331,
|
| 64 |
+
"learning_rate": 9.7472e-06,
|
| 65 |
+
"loss": 1.5162,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.0288,
|
| 70 |
+
"grad_norm": 0.16999679803848267,
|
| 71 |
+
"learning_rate": 9.715200000000001e-06,
|
| 72 |
+
"loss": 1.5689,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.032,
|
| 77 |
+
"grad_norm": 0.1928016096353531,
|
| 78 |
+
"learning_rate": 9.6832e-06,
|
| 79 |
+
"loss": 1.5845,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.0352,
|
| 84 |
+
"grad_norm": 0.19378426671028137,
|
| 85 |
+
"learning_rate": 9.6512e-06,
|
| 86 |
+
"loss": 1.5386,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.0384,
|
| 91 |
+
"grad_norm": 0.24590148031711578,
|
| 92 |
+
"learning_rate": 9.619200000000001e-06,
|
| 93 |
+
"loss": 1.4133,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.0416,
|
| 98 |
+
"grad_norm": 0.23824049532413483,
|
| 99 |
+
"learning_rate": 9.5872e-06,
|
| 100 |
+
"loss": 1.4573,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.0448,
|
| 105 |
+
"grad_norm": 0.19866596162319183,
|
| 106 |
+
"learning_rate": 9.555200000000001e-06,
|
| 107 |
+
"loss": 1.4357,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.048,
|
| 112 |
+
"grad_norm": 0.2909606993198395,
|
| 113 |
+
"learning_rate": 9.5232e-06,
|
| 114 |
+
"loss": 1.3924,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.0512,
|
| 119 |
+
"grad_norm": 0.48891496658325195,
|
| 120 |
+
"learning_rate": 9.4912e-06,
|
| 121 |
+
"loss": 1.4041,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.0544,
|
| 126 |
+
"grad_norm": 0.3921829164028168,
|
| 127 |
+
"learning_rate": 9.4592e-06,
|
| 128 |
+
"loss": 1.3158,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.0576,
|
| 133 |
+
"grad_norm": 0.293231338262558,
|
| 134 |
+
"learning_rate": 9.4272e-06,
|
| 135 |
+
"loss": 1.4709,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.0608,
|
| 140 |
+
"grad_norm": 0.27421411871910095,
|
| 141 |
+
"learning_rate": 9.395200000000001e-06,
|
| 142 |
+
"loss": 1.4046,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.064,
|
| 147 |
+
"grad_norm": 0.1971723437309265,
|
| 148 |
+
"learning_rate": 9.3632e-06,
|
| 149 |
+
"loss": 1.417,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.0672,
|
| 154 |
+
"grad_norm": 0.27423539757728577,
|
| 155 |
+
"learning_rate": 9.3312e-06,
|
| 156 |
+
"loss": 1.3721,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.0704,
|
| 161 |
+
"grad_norm": 0.4509432315826416,
|
| 162 |
+
"learning_rate": 9.2992e-06,
|
| 163 |
+
"loss": 1.4333,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.0736,
|
| 168 |
+
"grad_norm": 0.3389282822608948,
|
| 169 |
+
"learning_rate": 9.2672e-06,
|
| 170 |
+
"loss": 1.352,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.0768,
|
| 175 |
+
"grad_norm": 0.2814404368400574,
|
| 176 |
+
"learning_rate": 9.235200000000001e-06,
|
| 177 |
+
"loss": 1.3682,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.08,
|
| 182 |
+
"grad_norm": 0.2661599814891815,
|
| 183 |
+
"learning_rate": 9.2032e-06,
|
| 184 |
+
"loss": 1.3661,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.0832,
|
| 189 |
+
"grad_norm": 0.29006555676460266,
|
| 190 |
+
"learning_rate": 9.171200000000001e-06,
|
| 191 |
+
"loss": 1.299,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.0864,
|
| 196 |
+
"grad_norm": 0.2795925438404083,
|
| 197 |
+
"learning_rate": 9.1392e-06,
|
| 198 |
+
"loss": 1.3144,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.0896,
|
| 203 |
+
"grad_norm": 0.25778502225875854,
|
| 204 |
+
"learning_rate": 9.1072e-06,
|
| 205 |
+
"loss": 1.2957,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.0928,
|
| 210 |
+
"grad_norm": 0.26814839243888855,
|
| 211 |
+
"learning_rate": 9.0752e-06,
|
| 212 |
+
"loss": 1.3356,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.096,
|
| 217 |
+
"grad_norm": 0.3247470557689667,
|
| 218 |
+
"learning_rate": 9.0432e-06,
|
| 219 |
+
"loss": 1.3458,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.0992,
|
| 224 |
+
"grad_norm": 0.36921611428260803,
|
| 225 |
+
"learning_rate": 9.011200000000001e-06,
|
| 226 |
+
"loss": 1.3601,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.1024,
|
| 231 |
+
"grad_norm": 0.31122124195098877,
|
| 232 |
+
"learning_rate": 8.979200000000002e-06,
|
| 233 |
+
"loss": 1.3131,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.1056,
|
| 238 |
+
"grad_norm": 0.3557804822921753,
|
| 239 |
+
"learning_rate": 8.9472e-06,
|
| 240 |
+
"loss": 1.426,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.1088,
|
| 245 |
+
"grad_norm": 0.3266560137271881,
|
| 246 |
+
"learning_rate": 8.9152e-06,
|
| 247 |
+
"loss": 1.3386,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.112,
|
| 252 |
+
"grad_norm": 0.3932088017463684,
|
| 253 |
+
"learning_rate": 8.8832e-06,
|
| 254 |
+
"loss": 1.3982,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.1152,
|
| 259 |
+
"grad_norm": 0.32620078325271606,
|
| 260 |
+
"learning_rate": 8.851200000000001e-06,
|
| 261 |
+
"loss": 1.3048,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.1184,
|
| 266 |
+
"grad_norm": 0.30419647693634033,
|
| 267 |
+
"learning_rate": 8.819200000000002e-06,
|
| 268 |
+
"loss": 1.3761,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.1216,
|
| 273 |
+
"grad_norm": 0.29732590913772583,
|
| 274 |
+
"learning_rate": 8.7872e-06,
|
| 275 |
+
"loss": 1.2566,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.1248,
|
| 280 |
+
"grad_norm": 0.28484678268432617,
|
| 281 |
+
"learning_rate": 8.7552e-06,
|
| 282 |
+
"loss": 1.3666,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.128,
|
| 287 |
+
"grad_norm": 0.4168960154056549,
|
| 288 |
+
"learning_rate": 8.7232e-06,
|
| 289 |
+
"loss": 1.3396,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.1312,
|
| 294 |
+
"grad_norm": 0.3573697507381439,
|
| 295 |
+
"learning_rate": 8.6912e-06,
|
| 296 |
+
"loss": 1.3684,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.1344,
|
| 301 |
+
"grad_norm": 0.4777122735977173,
|
| 302 |
+
"learning_rate": 8.659200000000002e-06,
|
| 303 |
+
"loss": 1.3059,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.1376,
|
| 308 |
+
"grad_norm": 0.26450300216674805,
|
| 309 |
+
"learning_rate": 8.627200000000001e-06,
|
| 310 |
+
"loss": 1.3283,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.1408,
|
| 315 |
+
"grad_norm": 0.37447720766067505,
|
| 316 |
+
"learning_rate": 8.5952e-06,
|
| 317 |
+
"loss": 1.2667,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.144,
|
| 322 |
+
"grad_norm": 0.30257123708724976,
|
| 323 |
+
"learning_rate": 8.5632e-06,
|
| 324 |
+
"loss": 1.3147,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.1472,
|
| 329 |
+
"grad_norm": 0.34745684266090393,
|
| 330 |
+
"learning_rate": 8.5312e-06,
|
| 331 |
+
"loss": 1.3603,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.1504,
|
| 336 |
+
"grad_norm": 0.2882753312587738,
|
| 337 |
+
"learning_rate": 8.499200000000002e-06,
|
| 338 |
+
"loss": 1.3087,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.1536,
|
| 343 |
+
"grad_norm": 0.3751160204410553,
|
| 344 |
+
"learning_rate": 8.467200000000001e-06,
|
| 345 |
+
"loss": 1.342,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.1568,
|
| 350 |
+
"grad_norm": 0.3185778260231018,
|
| 351 |
+
"learning_rate": 8.435200000000002e-06,
|
| 352 |
+
"loss": 1.35,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.16,
|
| 357 |
+
"grad_norm": 0.2853422164916992,
|
| 358 |
+
"learning_rate": 8.4032e-06,
|
| 359 |
+
"loss": 1.3105,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.1632,
|
| 364 |
+
"grad_norm": 0.3187882602214813,
|
| 365 |
+
"learning_rate": 8.3712e-06,
|
| 366 |
+
"loss": 1.2915,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.1664,
|
| 371 |
+
"grad_norm": 0.4516860842704773,
|
| 372 |
+
"learning_rate": 8.339200000000001e-06,
|
| 373 |
+
"loss": 1.3449,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.1696,
|
| 378 |
+
"grad_norm": 0.3336597681045532,
|
| 379 |
+
"learning_rate": 8.3072e-06,
|
| 380 |
+
"loss": 1.2989,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.1728,
|
| 385 |
+
"grad_norm": 0.4279087781906128,
|
| 386 |
+
"learning_rate": 8.275200000000002e-06,
|
| 387 |
+
"loss": 1.2412,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.176,
|
| 392 |
+
"grad_norm": 0.4071614742279053,
|
| 393 |
+
"learning_rate": 8.243200000000001e-06,
|
| 394 |
+
"loss": 1.414,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.1792,
|
| 399 |
+
"grad_norm": 0.3194911479949951,
|
| 400 |
+
"learning_rate": 8.2112e-06,
|
| 401 |
+
"loss": 1.2762,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.1824,
|
| 406 |
+
"grad_norm": 0.3617415428161621,
|
| 407 |
+
"learning_rate": 8.179200000000001e-06,
|
| 408 |
+
"loss": 1.3225,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.1856,
|
| 413 |
+
"grad_norm": 0.3274191915988922,
|
| 414 |
+
"learning_rate": 8.1472e-06,
|
| 415 |
+
"loss": 1.3464,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.1888,
|
| 420 |
+
"grad_norm": 0.35526078939437866,
|
| 421 |
+
"learning_rate": 8.115200000000002e-06,
|
| 422 |
+
"loss": 1.315,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.192,
|
| 427 |
+
"grad_norm": 0.3728134036064148,
|
| 428 |
+
"learning_rate": 8.0832e-06,
|
| 429 |
+
"loss": 1.3023,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.1952,
|
| 434 |
+
"grad_norm": 0.4048090875148773,
|
| 435 |
+
"learning_rate": 8.0512e-06,
|
| 436 |
+
"loss": 1.2751,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.1984,
|
| 441 |
+
"grad_norm": 0.41539278626441956,
|
| 442 |
+
"learning_rate": 8.019200000000001e-06,
|
| 443 |
+
"loss": 1.3533,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.2016,
|
| 448 |
+
"grad_norm": 0.3269357979297638,
|
| 449 |
+
"learning_rate": 7.9872e-06,
|
| 450 |
+
"loss": 1.2709,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.2048,
|
| 455 |
+
"grad_norm": 0.3444967567920685,
|
| 456 |
+
"learning_rate": 7.955200000000001e-06,
|
| 457 |
+
"loss": 1.3119,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.208,
|
| 462 |
+
"grad_norm": 0.34097886085510254,
|
| 463 |
+
"learning_rate": 7.9232e-06,
|
| 464 |
+
"loss": 1.3444,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.2112,
|
| 469 |
+
"grad_norm": 0.42459428310394287,
|
| 470 |
+
"learning_rate": 7.891200000000002e-06,
|
| 471 |
+
"loss": 1.325,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.2144,
|
| 476 |
+
"grad_norm": 0.3942951261997223,
|
| 477 |
+
"learning_rate": 7.859200000000001e-06,
|
| 478 |
+
"loss": 1.3732,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.2176,
|
| 483 |
+
"grad_norm": 0.33468231558799744,
|
| 484 |
+
"learning_rate": 7.8272e-06,
|
| 485 |
+
"loss": 1.2883,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.2208,
|
| 490 |
+
"grad_norm": 0.3964150547981262,
|
| 491 |
+
"learning_rate": 7.795200000000001e-06,
|
| 492 |
+
"loss": 1.4014,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.224,
|
| 497 |
+
"grad_norm": 0.3447844386100769,
|
| 498 |
+
"learning_rate": 7.7632e-06,
|
| 499 |
+
"loss": 1.3205,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.2272,
|
| 504 |
+
"grad_norm": 0.380398154258728,
|
| 505 |
+
"learning_rate": 7.731200000000001e-06,
|
| 506 |
+
"loss": 1.2819,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.2304,
|
| 511 |
+
"grad_norm": 0.3823450207710266,
|
| 512 |
+
"learning_rate": 7.6992e-06,
|
| 513 |
+
"loss": 1.3097,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.2336,
|
| 518 |
+
"grad_norm": 0.3383599817752838,
|
| 519 |
+
"learning_rate": 7.6672e-06,
|
| 520 |
+
"loss": 1.346,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.2368,
|
| 525 |
+
"grad_norm": 0.39140060544013977,
|
| 526 |
+
"learning_rate": 7.635200000000001e-06,
|
| 527 |
+
"loss": 1.2961,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.24,
|
| 532 |
+
"grad_norm": 0.32159295678138733,
|
| 533 |
+
"learning_rate": 7.6032e-06,
|
| 534 |
+
"loss": 1.3045,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.2432,
|
| 539 |
+
"grad_norm": 0.3853408098220825,
|
| 540 |
+
"learning_rate": 7.5712000000000005e-06,
|
| 541 |
+
"loss": 1.2935,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.2464,
|
| 546 |
+
"grad_norm": 0.39150312542915344,
|
| 547 |
+
"learning_rate": 7.539200000000001e-06,
|
| 548 |
+
"loss": 1.2976,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.2496,
|
| 553 |
+
"grad_norm": 0.39306044578552246,
|
| 554 |
+
"learning_rate": 7.507200000000001e-06,
|
| 555 |
+
"loss": 1.2588,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.2528,
|
| 560 |
+
"grad_norm": 0.39256688952445984,
|
| 561 |
+
"learning_rate": 7.4752e-06,
|
| 562 |
+
"loss": 1.3252,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.256,
|
| 567 |
+
"grad_norm": 0.3738512098789215,
|
| 568 |
+
"learning_rate": 7.4432e-06,
|
| 569 |
+
"loss": 1.3162,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.2592,
|
| 574 |
+
"grad_norm": 0.4799080491065979,
|
| 575 |
+
"learning_rate": 7.4112e-06,
|
| 576 |
+
"loss": 1.2993,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.2624,
|
| 581 |
+
"grad_norm": 0.4616535007953644,
|
| 582 |
+
"learning_rate": 7.3792000000000004e-06,
|
| 583 |
+
"loss": 1.3356,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.2656,
|
| 588 |
+
"grad_norm": 0.37460416555404663,
|
| 589 |
+
"learning_rate": 7.347200000000001e-06,
|
| 590 |
+
"loss": 1.2938,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.2688,
|
| 595 |
+
"grad_norm": 0.4229544997215271,
|
| 596 |
+
"learning_rate": 7.3152e-06,
|
| 597 |
+
"loss": 1.26,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.272,
|
| 602 |
+
"grad_norm": 0.5051556825637817,
|
| 603 |
+
"learning_rate": 7.2832e-06,
|
| 604 |
+
"loss": 1.2868,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.2752,
|
| 609 |
+
"grad_norm": 0.3845407962799072,
|
| 610 |
+
"learning_rate": 7.2512e-06,
|
| 611 |
+
"loss": 1.3255,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.2784,
|
| 616 |
+
"grad_norm": 0.43234601616859436,
|
| 617 |
+
"learning_rate": 7.2192e-06,
|
| 618 |
+
"loss": 1.2756,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.2816,
|
| 623 |
+
"grad_norm": 0.390572190284729,
|
| 624 |
+
"learning_rate": 7.187200000000001e-06,
|
| 625 |
+
"loss": 1.3053,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.2848,
|
| 630 |
+
"grad_norm": 0.385815292596817,
|
| 631 |
+
"learning_rate": 7.155200000000001e-06,
|
| 632 |
+
"loss": 1.2608,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.288,
|
| 637 |
+
"grad_norm": 0.4778871238231659,
|
| 638 |
+
"learning_rate": 7.1232e-06,
|
| 639 |
+
"loss": 1.3109,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.2912,
|
| 644 |
+
"grad_norm": 0.3777396082878113,
|
| 645 |
+
"learning_rate": 7.0912e-06,
|
| 646 |
+
"loss": 1.2723,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.2944,
|
| 651 |
+
"grad_norm": 0.4682841897010803,
|
| 652 |
+
"learning_rate": 7.0592e-06,
|
| 653 |
+
"loss": 1.3304,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.2976,
|
| 658 |
+
"grad_norm": 0.3837222754955292,
|
| 659 |
+
"learning_rate": 7.027200000000001e-06,
|
| 660 |
+
"loss": 1.3081,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.3008,
|
| 665 |
+
"grad_norm": 0.3792935907840729,
|
| 666 |
+
"learning_rate": 6.995200000000001e-06,
|
| 667 |
+
"loss": 1.3176,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.304,
|
| 672 |
+
"grad_norm": 0.476096510887146,
|
| 673 |
+
"learning_rate": 6.963200000000001e-06,
|
| 674 |
+
"loss": 1.2764,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.3072,
|
| 679 |
+
"grad_norm": 0.4119466543197632,
|
| 680 |
+
"learning_rate": 6.9312e-06,
|
| 681 |
+
"loss": 1.3563,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.3104,
|
| 686 |
+
"grad_norm": 0.40938565135002136,
|
| 687 |
+
"learning_rate": 6.8992e-06,
|
| 688 |
+
"loss": 1.2782,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.3136,
|
| 693 |
+
"grad_norm": 0.4305261969566345,
|
| 694 |
+
"learning_rate": 6.867200000000001e-06,
|
| 695 |
+
"loss": 1.3333,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.3168,
|
| 700 |
+
"grad_norm": 0.3533143997192383,
|
| 701 |
+
"learning_rate": 6.835200000000001e-06,
|
| 702 |
+
"loss": 1.3686,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.32,
|
| 707 |
+
"grad_norm": 0.43104642629623413,
|
| 708 |
+
"learning_rate": 6.803200000000001e-06,
|
| 709 |
+
"loss": 1.3461,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.3232,
|
| 714 |
+
"grad_norm": 0.5197634696960449,
|
| 715 |
+
"learning_rate": 6.771200000000001e-06,
|
| 716 |
+
"loss": 1.3316,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.3264,
|
| 721 |
+
"grad_norm": 0.4084891080856323,
|
| 722 |
+
"learning_rate": 6.7392e-06,
|
| 723 |
+
"loss": 1.2941,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.3296,
|
| 728 |
+
"grad_norm": 0.4634837508201599,
|
| 729 |
+
"learning_rate": 6.707200000000001e-06,
|
| 730 |
+
"loss": 1.2982,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.3328,
|
| 735 |
+
"grad_norm": 0.4361494183540344,
|
| 736 |
+
"learning_rate": 6.675200000000001e-06,
|
| 737 |
+
"loss": 1.334,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.336,
|
| 742 |
+
"grad_norm": 0.36735212802886963,
|
| 743 |
+
"learning_rate": 6.643200000000001e-06,
|
| 744 |
+
"loss": 1.3642,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.3392,
|
| 749 |
+
"grad_norm": 0.3968944847583771,
|
| 750 |
+
"learning_rate": 6.611200000000001e-06,
|
| 751 |
+
"loss": 1.3784,
|
| 752 |
+
"step": 1060
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.3424,
|
| 756 |
+
"grad_norm": 0.39363133907318115,
|
| 757 |
+
"learning_rate": 6.5792e-06,
|
| 758 |
+
"loss": 1.2715,
|
| 759 |
+
"step": 1070
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.3456,
|
| 763 |
+
"grad_norm": 0.4664965867996216,
|
| 764 |
+
"learning_rate": 6.547200000000001e-06,
|
| 765 |
+
"loss": 1.3436,
|
| 766 |
+
"step": 1080
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.3488,
|
| 770 |
+
"grad_norm": 0.3857831358909607,
|
| 771 |
+
"learning_rate": 6.515200000000001e-06,
|
| 772 |
+
"loss": 1.3084,
|
| 773 |
+
"step": 1090
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.352,
|
| 777 |
+
"grad_norm": 0.41258570551872253,
|
| 778 |
+
"learning_rate": 6.483200000000001e-06,
|
| 779 |
+
"loss": 1.3288,
|
| 780 |
+
"step": 1100
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.3552,
|
| 784 |
+
"grad_norm": 0.3971725404262543,
|
| 785 |
+
"learning_rate": 6.451200000000001e-06,
|
| 786 |
+
"loss": 1.3321,
|
| 787 |
+
"step": 1110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.3584,
|
| 791 |
+
"grad_norm": 0.3993317186832428,
|
| 792 |
+
"learning_rate": 6.419200000000001e-06,
|
| 793 |
+
"loss": 1.3385,
|
| 794 |
+
"step": 1120
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.3616,
|
| 798 |
+
"grad_norm": 0.5872831344604492,
|
| 799 |
+
"learning_rate": 6.3872000000000004e-06,
|
| 800 |
+
"loss": 1.2817,
|
| 801 |
+
"step": 1130
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.3648,
|
| 805 |
+
"grad_norm": 0.47822561860084534,
|
| 806 |
+
"learning_rate": 6.355200000000001e-06,
|
| 807 |
+
"loss": 1.3083,
|
| 808 |
+
"step": 1140
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.368,
|
| 812 |
+
"grad_norm": 0.5206847786903381,
|
| 813 |
+
"learning_rate": 6.323200000000001e-06,
|
| 814 |
+
"loss": 1.3457,
|
| 815 |
+
"step": 1150
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.3712,
|
| 819 |
+
"grad_norm": 0.41014567017555237,
|
| 820 |
+
"learning_rate": 6.291200000000001e-06,
|
| 821 |
+
"loss": 1.2687,
|
| 822 |
+
"step": 1160
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.3744,
|
| 826 |
+
"grad_norm": 0.39573901891708374,
|
| 827 |
+
"learning_rate": 6.259200000000001e-06,
|
| 828 |
+
"loss": 1.3257,
|
| 829 |
+
"step": 1170
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.3776,
|
| 833 |
+
"grad_norm": 0.40908557176589966,
|
| 834 |
+
"learning_rate": 6.227200000000001e-06,
|
| 835 |
+
"loss": 1.2587,
|
| 836 |
+
"step": 1180
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.3808,
|
| 840 |
+
"grad_norm": 0.4308335781097412,
|
| 841 |
+
"learning_rate": 6.1952e-06,
|
| 842 |
+
"loss": 1.2764,
|
| 843 |
+
"step": 1190
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.384,
|
| 847 |
+
"grad_norm": 0.41657981276512146,
|
| 848 |
+
"learning_rate": 6.1632000000000006e-06,
|
| 849 |
+
"loss": 1.3305,
|
| 850 |
+
"step": 1200
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.3872,
|
| 854 |
+
"grad_norm": 0.446154922246933,
|
| 855 |
+
"learning_rate": 6.131200000000001e-06,
|
| 856 |
+
"loss": 1.3323,
|
| 857 |
+
"step": 1210
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.3904,
|
| 861 |
+
"grad_norm": 0.43903544545173645,
|
| 862 |
+
"learning_rate": 6.099200000000001e-06,
|
| 863 |
+
"loss": 1.2731,
|
| 864 |
+
"step": 1220
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.3936,
|
| 868 |
+
"grad_norm": 0.4204481542110443,
|
| 869 |
+
"learning_rate": 6.067200000000001e-06,
|
| 870 |
+
"loss": 1.2569,
|
| 871 |
+
"step": 1230
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.3968,
|
| 875 |
+
"grad_norm": 0.4393060803413391,
|
| 876 |
+
"learning_rate": 6.0352e-06,
|
| 877 |
+
"loss": 1.3119,
|
| 878 |
+
"step": 1240
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.4,
|
| 882 |
+
"grad_norm": 0.42466068267822266,
|
| 883 |
+
"learning_rate": 6.0032e-06,
|
| 884 |
+
"loss": 1.2106,
|
| 885 |
+
"step": 1250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.4032,
|
| 889 |
+
"grad_norm": 0.40182891488075256,
|
| 890 |
+
"learning_rate": 5.9712000000000005e-06,
|
| 891 |
+
"loss": 1.2566,
|
| 892 |
+
"step": 1260
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.4064,
|
| 896 |
+
"grad_norm": 0.3702845275402069,
|
| 897 |
+
"learning_rate": 5.939200000000001e-06,
|
| 898 |
+
"loss": 1.3344,
|
| 899 |
+
"step": 1270
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.4096,
|
| 903 |
+
"grad_norm": 0.4409834146499634,
|
| 904 |
+
"learning_rate": 5.907200000000001e-06,
|
| 905 |
+
"loss": 1.2553,
|
| 906 |
+
"step": 1280
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.4128,
|
| 910 |
+
"grad_norm": 0.5070372223854065,
|
| 911 |
+
"learning_rate": 5.875200000000001e-06,
|
| 912 |
+
"loss": 1.2901,
|
| 913 |
+
"step": 1290
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.416,
|
| 917 |
+
"grad_norm": 0.44239479303359985,
|
| 918 |
+
"learning_rate": 5.8432e-06,
|
| 919 |
+
"loss": 1.2086,
|
| 920 |
+
"step": 1300
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.4192,
|
| 924 |
+
"grad_norm": 0.5466510653495789,
|
| 925 |
+
"learning_rate": 5.8112e-06,
|
| 926 |
+
"loss": 1.2959,
|
| 927 |
+
"step": 1310
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.4224,
|
| 931 |
+
"grad_norm": 0.5056144595146179,
|
| 932 |
+
"learning_rate": 5.7792000000000005e-06,
|
| 933 |
+
"loss": 1.3353,
|
| 934 |
+
"step": 1320
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.4256,
|
| 938 |
+
"grad_norm": 0.42606833577156067,
|
| 939 |
+
"learning_rate": 5.747200000000001e-06,
|
| 940 |
+
"loss": 1.3108,
|
| 941 |
+
"step": 1330
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.4288,
|
| 945 |
+
"grad_norm": 0.41976213455200195,
|
| 946 |
+
"learning_rate": 5.715200000000001e-06,
|
| 947 |
+
"loss": 1.3248,
|
| 948 |
+
"step": 1340
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.432,
|
| 952 |
+
"grad_norm": 0.48559048771858215,
|
| 953 |
+
"learning_rate": 5.683200000000001e-06,
|
| 954 |
+
"loss": 1.2686,
|
| 955 |
+
"step": 1350
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.4352,
|
| 959 |
+
"grad_norm": 0.47761228680610657,
|
| 960 |
+
"learning_rate": 5.6512e-06,
|
| 961 |
+
"loss": 1.281,
|
| 962 |
+
"step": 1360
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.4384,
|
| 966 |
+
"grad_norm": 0.4777953028678894,
|
| 967 |
+
"learning_rate": 5.6192e-06,
|
| 968 |
+
"loss": 1.2829,
|
| 969 |
+
"step": 1370
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.4416,
|
| 973 |
+
"grad_norm": 0.44091978669166565,
|
| 974 |
+
"learning_rate": 5.5872000000000005e-06,
|
| 975 |
+
"loss": 1.3032,
|
| 976 |
+
"step": 1380
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.4448,
|
| 980 |
+
"grad_norm": 0.48977166414260864,
|
| 981 |
+
"learning_rate": 5.555200000000001e-06,
|
| 982 |
+
"loss": 1.3418,
|
| 983 |
+
"step": 1390
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.448,
|
| 987 |
+
"grad_norm": 0.6014530062675476,
|
| 988 |
+
"learning_rate": 5.523200000000001e-06,
|
| 989 |
+
"loss": 1.2119,
|
| 990 |
+
"step": 1400
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.4512,
|
| 994 |
+
"grad_norm": 0.4750172793865204,
|
| 995 |
+
"learning_rate": 5.491200000000001e-06,
|
| 996 |
+
"loss": 1.3432,
|
| 997 |
+
"step": 1410
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.4544,
|
| 1001 |
+
"grad_norm": 0.5095167756080627,
|
| 1002 |
+
"learning_rate": 5.4592e-06,
|
| 1003 |
+
"loss": 1.3448,
|
| 1004 |
+
"step": 1420
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.4576,
|
| 1008 |
+
"grad_norm": 0.47408685088157654,
|
| 1009 |
+
"learning_rate": 5.4272e-06,
|
| 1010 |
+
"loss": 1.3436,
|
| 1011 |
+
"step": 1430
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.4608,
|
| 1015 |
+
"grad_norm": 0.45464885234832764,
|
| 1016 |
+
"learning_rate": 5.3952000000000005e-06,
|
| 1017 |
+
"loss": 1.1962,
|
| 1018 |
+
"step": 1440
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.464,
|
| 1022 |
+
"grad_norm": 0.431349515914917,
|
| 1023 |
+
"learning_rate": 5.363200000000001e-06,
|
| 1024 |
+
"loss": 1.2773,
|
| 1025 |
+
"step": 1450
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.4672,
|
| 1029 |
+
"grad_norm": 0.444397896528244,
|
| 1030 |
+
"learning_rate": 5.331200000000001e-06,
|
| 1031 |
+
"loss": 1.3163,
|
| 1032 |
+
"step": 1460
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.4704,
|
| 1036 |
+
"grad_norm": 0.4360913038253784,
|
| 1037 |
+
"learning_rate": 5.2992e-06,
|
| 1038 |
+
"loss": 1.2759,
|
| 1039 |
+
"step": 1470
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.4736,
|
| 1043 |
+
"grad_norm": 0.5152497887611389,
|
| 1044 |
+
"learning_rate": 5.2672e-06,
|
| 1045 |
+
"loss": 1.3225,
|
| 1046 |
+
"step": 1480
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.4768,
|
| 1050 |
+
"grad_norm": 0.48929157853126526,
|
| 1051 |
+
"learning_rate": 5.2352e-06,
|
| 1052 |
+
"loss": 1.3213,
|
| 1053 |
+
"step": 1490
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.48,
|
| 1057 |
+
"grad_norm": 0.4925262928009033,
|
| 1058 |
+
"learning_rate": 5.2032000000000004e-06,
|
| 1059 |
+
"loss": 1.2008,
|
| 1060 |
+
"step": 1500
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.4832,
|
| 1064 |
+
"grad_norm": 0.46162164211273193,
|
| 1065 |
+
"learning_rate": 5.1712000000000006e-06,
|
| 1066 |
+
"loss": 1.2996,
|
| 1067 |
+
"step": 1510
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.4864,
|
| 1071 |
+
"grad_norm": 0.4908200800418854,
|
| 1072 |
+
"learning_rate": 5.139200000000001e-06,
|
| 1073 |
+
"loss": 1.2729,
|
| 1074 |
+
"step": 1520
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.4896,
|
| 1078 |
+
"grad_norm": 0.5178566575050354,
|
| 1079 |
+
"learning_rate": 5.1072e-06,
|
| 1080 |
+
"loss": 1.293,
|
| 1081 |
+
"step": 1530
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.4928,
|
| 1085 |
+
"grad_norm": 0.5733951330184937,
|
| 1086 |
+
"learning_rate": 5.0752e-06,
|
| 1087 |
+
"loss": 1.3573,
|
| 1088 |
+
"step": 1540
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.496,
|
| 1092 |
+
"grad_norm": 0.4558843672275543,
|
| 1093 |
+
"learning_rate": 5.0432e-06,
|
| 1094 |
+
"loss": 1.3445,
|
| 1095 |
+
"step": 1550
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.4992,
|
| 1099 |
+
"grad_norm": 0.5171469449996948,
|
| 1100 |
+
"learning_rate": 5.0112e-06,
|
| 1101 |
+
"loss": 1.2293,
|
| 1102 |
+
"step": 1560
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.5024,
|
| 1106 |
+
"grad_norm": 0.4879666864871979,
|
| 1107 |
+
"learning_rate": 4.9792000000000005e-06,
|
| 1108 |
+
"loss": 1.31,
|
| 1109 |
+
"step": 1570
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.5056,
|
| 1113 |
+
"grad_norm": 0.4393675923347473,
|
| 1114 |
+
"learning_rate": 4.947200000000001e-06,
|
| 1115 |
+
"loss": 1.3186,
|
| 1116 |
+
"step": 1580
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.5088,
|
| 1120 |
+
"grad_norm": 0.5072659254074097,
|
| 1121 |
+
"learning_rate": 4.915200000000001e-06,
|
| 1122 |
+
"loss": 1.2857,
|
| 1123 |
+
"step": 1590
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.512,
|
| 1127 |
+
"grad_norm": 0.5163191556930542,
|
| 1128 |
+
"learning_rate": 4.8832e-06,
|
| 1129 |
+
"loss": 1.3401,
|
| 1130 |
+
"step": 1600
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.5152,
|
| 1134 |
+
"grad_norm": 0.5119105577468872,
|
| 1135 |
+
"learning_rate": 4.8512e-06,
|
| 1136 |
+
"loss": 1.32,
|
| 1137 |
+
"step": 1610
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.5184,
|
| 1141 |
+
"grad_norm": 0.5342932939529419,
|
| 1142 |
+
"learning_rate": 4.8192e-06,
|
| 1143 |
+
"loss": 1.206,
|
| 1144 |
+
"step": 1620
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.5216,
|
| 1148 |
+
"grad_norm": 0.4517419636249542,
|
| 1149 |
+
"learning_rate": 4.7872000000000005e-06,
|
| 1150 |
+
"loss": 1.3077,
|
| 1151 |
+
"step": 1630
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.5248,
|
| 1155 |
+
"grad_norm": 0.46141722798347473,
|
| 1156 |
+
"learning_rate": 4.755200000000001e-06,
|
| 1157 |
+
"loss": 1.2873,
|
| 1158 |
+
"step": 1640
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.528,
|
| 1162 |
+
"grad_norm": 0.41747117042541504,
|
| 1163 |
+
"learning_rate": 4.723200000000001e-06,
|
| 1164 |
+
"loss": 1.2715,
|
| 1165 |
+
"step": 1650
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.5312,
|
| 1169 |
+
"grad_norm": 0.48263996839523315,
|
| 1170 |
+
"learning_rate": 4.6912e-06,
|
| 1171 |
+
"loss": 1.2814,
|
| 1172 |
+
"step": 1660
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.5344,
|
| 1176 |
+
"grad_norm": 0.4876611828804016,
|
| 1177 |
+
"learning_rate": 4.6592e-06,
|
| 1178 |
+
"loss": 1.2776,
|
| 1179 |
+
"step": 1670
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.5376,
|
| 1183 |
+
"grad_norm": 0.46099624037742615,
|
| 1184 |
+
"learning_rate": 4.6272e-06,
|
| 1185 |
+
"loss": 1.3839,
|
| 1186 |
+
"step": 1680
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.5408,
|
| 1190 |
+
"grad_norm": 0.46614623069763184,
|
| 1191 |
+
"learning_rate": 4.5952000000000005e-06,
|
| 1192 |
+
"loss": 1.2717,
|
| 1193 |
+
"step": 1690
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.544,
|
| 1197 |
+
"grad_norm": 0.48747870326042175,
|
| 1198 |
+
"learning_rate": 4.563200000000001e-06,
|
| 1199 |
+
"loss": 1.2937,
|
| 1200 |
+
"step": 1700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.5472,
|
| 1204 |
+
"grad_norm": 0.5542135238647461,
|
| 1205 |
+
"learning_rate": 4.531200000000001e-06,
|
| 1206 |
+
"loss": 1.2622,
|
| 1207 |
+
"step": 1710
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.5504,
|
| 1211 |
+
"grad_norm": 0.46008777618408203,
|
| 1212 |
+
"learning_rate": 4.4992e-06,
|
| 1213 |
+
"loss": 1.3188,
|
| 1214 |
+
"step": 1720
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.5536,
|
| 1218 |
+
"grad_norm": 0.4853471517562866,
|
| 1219 |
+
"learning_rate": 4.4672e-06,
|
| 1220 |
+
"loss": 1.252,
|
| 1221 |
+
"step": 1730
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.5568,
|
| 1225 |
+
"grad_norm": 0.44900670647621155,
|
| 1226 |
+
"learning_rate": 4.4352e-06,
|
| 1227 |
+
"loss": 1.2549,
|
| 1228 |
+
"step": 1740
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.56,
|
| 1232 |
+
"grad_norm": 0.4973522126674652,
|
| 1233 |
+
"learning_rate": 4.4032000000000005e-06,
|
| 1234 |
+
"loss": 1.2959,
|
| 1235 |
+
"step": 1750
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.5632,
|
| 1239 |
+
"grad_norm": 0.45412448048591614,
|
| 1240 |
+
"learning_rate": 4.371200000000001e-06,
|
| 1241 |
+
"loss": 1.2092,
|
| 1242 |
+
"step": 1760
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.5664,
|
| 1246 |
+
"grad_norm": 0.5110604763031006,
|
| 1247 |
+
"learning_rate": 4.3392e-06,
|
| 1248 |
+
"loss": 1.3127,
|
| 1249 |
+
"step": 1770
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.5696,
|
| 1253 |
+
"grad_norm": 0.5951307415962219,
|
| 1254 |
+
"learning_rate": 4.3072e-06,
|
| 1255 |
+
"loss": 1.2603,
|
| 1256 |
+
"step": 1780
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.5728,
|
| 1260 |
+
"grad_norm": 0.49740588665008545,
|
| 1261 |
+
"learning_rate": 4.2752e-06,
|
| 1262 |
+
"loss": 1.2609,
|
| 1263 |
+
"step": 1790
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.576,
|
| 1267 |
+
"grad_norm": 0.4803503155708313,
|
| 1268 |
+
"learning_rate": 4.2432e-06,
|
| 1269 |
+
"loss": 1.2287,
|
| 1270 |
+
"step": 1800
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.5792,
|
| 1274 |
+
"grad_norm": 0.48638489842414856,
|
| 1275 |
+
"learning_rate": 4.2112000000000004e-06,
|
| 1276 |
+
"loss": 1.2245,
|
| 1277 |
+
"step": 1810
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.5824,
|
| 1281 |
+
"grad_norm": 0.48148202896118164,
|
| 1282 |
+
"learning_rate": 4.179200000000001e-06,
|
| 1283 |
+
"loss": 1.2858,
|
| 1284 |
+
"step": 1820
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.5856,
|
| 1288 |
+
"grad_norm": 0.5493887662887573,
|
| 1289 |
+
"learning_rate": 4.1472e-06,
|
| 1290 |
+
"loss": 1.2765,
|
| 1291 |
+
"step": 1830
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.5888,
|
| 1295 |
+
"grad_norm": 0.45376092195510864,
|
| 1296 |
+
"learning_rate": 4.1152e-06,
|
| 1297 |
+
"loss": 1.1914,
|
| 1298 |
+
"step": 1840
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.592,
|
| 1302 |
+
"grad_norm": 0.5095167756080627,
|
| 1303 |
+
"learning_rate": 4.0832e-06,
|
| 1304 |
+
"loss": 1.2916,
|
| 1305 |
+
"step": 1850
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.5952,
|
| 1309 |
+
"grad_norm": 0.5425928831100464,
|
| 1310 |
+
"learning_rate": 4.0512e-06,
|
| 1311 |
+
"loss": 1.2189,
|
| 1312 |
+
"step": 1860
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.5984,
|
| 1316 |
+
"grad_norm": 0.46790796518325806,
|
| 1317 |
+
"learning_rate": 4.0192e-06,
|
| 1318 |
+
"loss": 1.3668,
|
| 1319 |
+
"step": 1870
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.6016,
|
| 1323 |
+
"grad_norm": 0.48903679847717285,
|
| 1324 |
+
"learning_rate": 3.9872000000000006e-06,
|
| 1325 |
+
"loss": 1.2132,
|
| 1326 |
+
"step": 1880
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.6048,
|
| 1330 |
+
"grad_norm": 0.47461065649986267,
|
| 1331 |
+
"learning_rate": 3.9552e-06,
|
| 1332 |
+
"loss": 1.2794,
|
| 1333 |
+
"step": 1890
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.608,
|
| 1337 |
+
"grad_norm": 0.4707651436328888,
|
| 1338 |
+
"learning_rate": 3.9232e-06,
|
| 1339 |
+
"loss": 1.3,
|
| 1340 |
+
"step": 1900
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.6112,
|
| 1344 |
+
"grad_norm": 0.5604966878890991,
|
| 1345 |
+
"learning_rate": 3.8912e-06,
|
| 1346 |
+
"loss": 1.2272,
|
| 1347 |
+
"step": 1910
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.6144,
|
| 1351 |
+
"grad_norm": 0.5373271107673645,
|
| 1352 |
+
"learning_rate": 3.8592e-06,
|
| 1353 |
+
"loss": 1.2522,
|
| 1354 |
+
"step": 1920
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.6176,
|
| 1358 |
+
"grad_norm": 0.50235915184021,
|
| 1359 |
+
"learning_rate": 3.8272e-06,
|
| 1360 |
+
"loss": 1.2486,
|
| 1361 |
+
"step": 1930
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.6208,
|
| 1365 |
+
"grad_norm": 0.4826876223087311,
|
| 1366 |
+
"learning_rate": 3.7952000000000005e-06,
|
| 1367 |
+
"loss": 1.3355,
|
| 1368 |
+
"step": 1940
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.624,
|
| 1372 |
+
"grad_norm": 0.46976956725120544,
|
| 1373 |
+
"learning_rate": 3.7632000000000002e-06,
|
| 1374 |
+
"loss": 1.2725,
|
| 1375 |
+
"step": 1950
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.6272,
|
| 1379 |
+
"grad_norm": 0.5186979174613953,
|
| 1380 |
+
"learning_rate": 3.7312000000000004e-06,
|
| 1381 |
+
"loss": 1.3073,
|
| 1382 |
+
"step": 1960
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.6304,
|
| 1386 |
+
"grad_norm": 0.4939082860946655,
|
| 1387 |
+
"learning_rate": 3.6992000000000005e-06,
|
| 1388 |
+
"loss": 1.2649,
|
| 1389 |
+
"step": 1970
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.6336,
|
| 1393 |
+
"grad_norm": 0.5091391205787659,
|
| 1394 |
+
"learning_rate": 3.6672000000000002e-06,
|
| 1395 |
+
"loss": 1.4142,
|
| 1396 |
+
"step": 1980
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.6368,
|
| 1400 |
+
"grad_norm": 0.4665001928806305,
|
| 1401 |
+
"learning_rate": 3.6352000000000004e-06,
|
| 1402 |
+
"loss": 1.2606,
|
| 1403 |
+
"step": 1990
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.64,
|
| 1407 |
+
"grad_norm": 0.48443859815597534,
|
| 1408 |
+
"learning_rate": 3.6032e-06,
|
| 1409 |
+
"loss": 1.1884,
|
| 1410 |
+
"step": 2000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.6432,
|
| 1414 |
+
"grad_norm": 0.5871022939682007,
|
| 1415 |
+
"learning_rate": 3.5712000000000002e-06,
|
| 1416 |
+
"loss": 1.3792,
|
| 1417 |
+
"step": 2010
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.6464,
|
| 1421 |
+
"grad_norm": 0.48302605748176575,
|
| 1422 |
+
"learning_rate": 3.5392000000000004e-06,
|
| 1423 |
+
"loss": 1.262,
|
| 1424 |
+
"step": 2020
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.6496,
|
| 1428 |
+
"grad_norm": 0.4569855034351349,
|
| 1429 |
+
"learning_rate": 3.5072e-06,
|
| 1430 |
+
"loss": 1.2587,
|
| 1431 |
+
"step": 2030
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.6528,
|
| 1435 |
+
"grad_norm": 0.5194870829582214,
|
| 1436 |
+
"learning_rate": 3.4752e-06,
|
| 1437 |
+
"loss": 1.3056,
|
| 1438 |
+
"step": 2040
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.656,
|
| 1442 |
+
"grad_norm": 0.4751642346382141,
|
| 1443 |
+
"learning_rate": 3.4432000000000003e-06,
|
| 1444 |
+
"loss": 1.1733,
|
| 1445 |
+
"step": 2050
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.6592,
|
| 1449 |
+
"grad_norm": 0.5077437162399292,
|
| 1450 |
+
"learning_rate": 3.4112e-06,
|
| 1451 |
+
"loss": 1.3218,
|
| 1452 |
+
"step": 2060
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.6624,
|
| 1456 |
+
"grad_norm": 0.49009519815444946,
|
| 1457 |
+
"learning_rate": 3.3792e-06,
|
| 1458 |
+
"loss": 1.224,
|
| 1459 |
+
"step": 2070
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.6656,
|
| 1463 |
+
"grad_norm": 0.4634891152381897,
|
| 1464 |
+
"learning_rate": 3.3472000000000003e-06,
|
| 1465 |
+
"loss": 1.2727,
|
| 1466 |
+
"step": 2080
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.6688,
|
| 1470 |
+
"grad_norm": 0.5274826884269714,
|
| 1471 |
+
"learning_rate": 3.3152e-06,
|
| 1472 |
+
"loss": 1.2916,
|
| 1473 |
+
"step": 2090
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.672,
|
| 1477 |
+
"grad_norm": 0.5165941715240479,
|
| 1478 |
+
"learning_rate": 3.2832e-06,
|
| 1479 |
+
"loss": 1.2878,
|
| 1480 |
+
"step": 2100
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.6752,
|
| 1484 |
+
"grad_norm": 0.5654541254043579,
|
| 1485 |
+
"learning_rate": 3.2512000000000003e-06,
|
| 1486 |
+
"loss": 1.2749,
|
| 1487 |
+
"step": 2110
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.6784,
|
| 1491 |
+
"grad_norm": 0.49610668420791626,
|
| 1492 |
+
"learning_rate": 3.2192e-06,
|
| 1493 |
+
"loss": 1.2668,
|
| 1494 |
+
"step": 2120
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.6816,
|
| 1498 |
+
"grad_norm": 0.5377901196479797,
|
| 1499 |
+
"learning_rate": 3.1872e-06,
|
| 1500 |
+
"loss": 1.2671,
|
| 1501 |
+
"step": 2130
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.6848,
|
| 1505 |
+
"grad_norm": 0.5280618071556091,
|
| 1506 |
+
"learning_rate": 3.1552000000000003e-06,
|
| 1507 |
+
"loss": 1.2637,
|
| 1508 |
+
"step": 2140
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.688,
|
| 1512 |
+
"grad_norm": 0.5266459584236145,
|
| 1513 |
+
"learning_rate": 3.1232e-06,
|
| 1514 |
+
"loss": 1.2604,
|
| 1515 |
+
"step": 2150
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.6912,
|
| 1519 |
+
"grad_norm": 0.47189775109291077,
|
| 1520 |
+
"learning_rate": 3.0912e-06,
|
| 1521 |
+
"loss": 1.2546,
|
| 1522 |
+
"step": 2160
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.6944,
|
| 1526 |
+
"grad_norm": 0.5069970488548279,
|
| 1527 |
+
"learning_rate": 3.0592000000000007e-06,
|
| 1528 |
+
"loss": 1.2538,
|
| 1529 |
+
"step": 2170
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.6976,
|
| 1533 |
+
"grad_norm": 0.5452210903167725,
|
| 1534 |
+
"learning_rate": 3.0272e-06,
|
| 1535 |
+
"loss": 1.2896,
|
| 1536 |
+
"step": 2180
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.7008,
|
| 1540 |
+
"grad_norm": 0.47197288274765015,
|
| 1541 |
+
"learning_rate": 2.9952e-06,
|
| 1542 |
+
"loss": 1.2104,
|
| 1543 |
+
"step": 2190
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.704,
|
| 1547 |
+
"grad_norm": 0.5163410305976868,
|
| 1548 |
+
"learning_rate": 2.9632e-06,
|
| 1549 |
+
"loss": 1.2495,
|
| 1550 |
+
"step": 2200
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 0.7072,
|
| 1554 |
+
"grad_norm": 0.4659384787082672,
|
| 1555 |
+
"learning_rate": 2.9312e-06,
|
| 1556 |
+
"loss": 1.226,
|
| 1557 |
+
"step": 2210
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.7104,
|
| 1561 |
+
"grad_norm": 0.5424367189407349,
|
| 1562 |
+
"learning_rate": 2.8992000000000005e-06,
|
| 1563 |
+
"loss": 1.3475,
|
| 1564 |
+
"step": 2220
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 0.7136,
|
| 1568 |
+
"grad_norm": 0.5033388137817383,
|
| 1569 |
+
"learning_rate": 2.8672e-06,
|
| 1570 |
+
"loss": 1.2415,
|
| 1571 |
+
"step": 2230
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 0.7168,
|
| 1575 |
+
"grad_norm": 0.4847257733345032,
|
| 1576 |
+
"learning_rate": 2.8352e-06,
|
| 1577 |
+
"loss": 1.2562,
|
| 1578 |
+
"step": 2240
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.72,
|
| 1582 |
+
"grad_norm": 0.5888292789459229,
|
| 1583 |
+
"learning_rate": 2.8032000000000005e-06,
|
| 1584 |
+
"loss": 1.3166,
|
| 1585 |
+
"step": 2250
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.7232,
|
| 1589 |
+
"grad_norm": 0.5637612342834473,
|
| 1590 |
+
"learning_rate": 2.7712e-06,
|
| 1591 |
+
"loss": 1.2805,
|
| 1592 |
+
"step": 2260
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.7264,
|
| 1596 |
+
"grad_norm": 0.477873831987381,
|
| 1597 |
+
"learning_rate": 2.7392000000000004e-06,
|
| 1598 |
+
"loss": 1.2804,
|
| 1599 |
+
"step": 2270
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.7296,
|
| 1603 |
+
"grad_norm": 0.627713143825531,
|
| 1604 |
+
"learning_rate": 2.7072000000000005e-06,
|
| 1605 |
+
"loss": 1.2844,
|
| 1606 |
+
"step": 2280
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.7328,
|
| 1610 |
+
"grad_norm": 0.5947350859642029,
|
| 1611 |
+
"learning_rate": 2.6752e-06,
|
| 1612 |
+
"loss": 1.28,
|
| 1613 |
+
"step": 2290
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.736,
|
| 1617 |
+
"grad_norm": 0.49309098720550537,
|
| 1618 |
+
"learning_rate": 2.6432000000000004e-06,
|
| 1619 |
+
"loss": 1.353,
|
| 1620 |
+
"step": 2300
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.7392,
|
| 1624 |
+
"grad_norm": 0.5657567381858826,
|
| 1625 |
+
"learning_rate": 2.6112000000000005e-06,
|
| 1626 |
+
"loss": 1.3422,
|
| 1627 |
+
"step": 2310
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.7424,
|
| 1631 |
+
"grad_norm": 0.5906503200531006,
|
| 1632 |
+
"learning_rate": 2.5792000000000002e-06,
|
| 1633 |
+
"loss": 1.2691,
|
| 1634 |
+
"step": 2320
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.7456,
|
| 1638 |
+
"grad_norm": 0.5093393325805664,
|
| 1639 |
+
"learning_rate": 2.5472000000000004e-06,
|
| 1640 |
+
"loss": 1.2689,
|
| 1641 |
+
"step": 2330
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.7488,
|
| 1645 |
+
"grad_norm": 0.48354557156562805,
|
| 1646 |
+
"learning_rate": 2.5152000000000005e-06,
|
| 1647 |
+
"loss": 1.2062,
|
| 1648 |
+
"step": 2340
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.752,
|
| 1652 |
+
"grad_norm": 0.6542074084281921,
|
| 1653 |
+
"learning_rate": 2.4832000000000002e-06,
|
| 1654 |
+
"loss": 1.2852,
|
| 1655 |
+
"step": 2350
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.7552,
|
| 1659 |
+
"grad_norm": 0.5252315998077393,
|
| 1660 |
+
"learning_rate": 2.4512000000000003e-06,
|
| 1661 |
+
"loss": 1.2635,
|
| 1662 |
+
"step": 2360
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.7584,
|
| 1666 |
+
"grad_norm": 0.48583582043647766,
|
| 1667 |
+
"learning_rate": 2.4192e-06,
|
| 1668 |
+
"loss": 1.2096,
|
| 1669 |
+
"step": 2370
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.7616,
|
| 1673 |
+
"grad_norm": 0.49642977118492126,
|
| 1674 |
+
"learning_rate": 2.3872e-06,
|
| 1675 |
+
"loss": 1.2424,
|
| 1676 |
+
"step": 2380
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.7648,
|
| 1680 |
+
"grad_norm": 0.6025352478027344,
|
| 1681 |
+
"learning_rate": 2.3552000000000003e-06,
|
| 1682 |
+
"loss": 1.2992,
|
| 1683 |
+
"step": 2390
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.768,
|
| 1687 |
+
"grad_norm": 0.5461027026176453,
|
| 1688 |
+
"learning_rate": 2.3232e-06,
|
| 1689 |
+
"loss": 1.2946,
|
| 1690 |
+
"step": 2400
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.7712,
|
| 1694 |
+
"grad_norm": 0.6130191683769226,
|
| 1695 |
+
"learning_rate": 2.2912e-06,
|
| 1696 |
+
"loss": 1.2398,
|
| 1697 |
+
"step": 2410
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.7744,
|
| 1701 |
+
"grad_norm": 0.6468284726142883,
|
| 1702 |
+
"learning_rate": 2.2592000000000003e-06,
|
| 1703 |
+
"loss": 1.3087,
|
| 1704 |
+
"step": 2420
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.7776,
|
| 1708 |
+
"grad_norm": 0.6268571019172668,
|
| 1709 |
+
"learning_rate": 2.2272e-06,
|
| 1710 |
+
"loss": 1.1613,
|
| 1711 |
+
"step": 2430
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.7808,
|
| 1715 |
+
"grad_norm": 0.7104691863059998,
|
| 1716 |
+
"learning_rate": 2.1952e-06,
|
| 1717 |
+
"loss": 1.27,
|
| 1718 |
+
"step": 2440
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.784,
|
| 1722 |
+
"grad_norm": 0.4856204688549042,
|
| 1723 |
+
"learning_rate": 2.1632000000000003e-06,
|
| 1724 |
+
"loss": 1.2731,
|
| 1725 |
+
"step": 2450
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.7872,
|
| 1729 |
+
"grad_norm": 0.5168479681015015,
|
| 1730 |
+
"learning_rate": 2.1312e-06,
|
| 1731 |
+
"loss": 1.3437,
|
| 1732 |
+
"step": 2460
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.7904,
|
| 1736 |
+
"grad_norm": 0.659817636013031,
|
| 1737 |
+
"learning_rate": 2.0992e-06,
|
| 1738 |
+
"loss": 1.2839,
|
| 1739 |
+
"step": 2470
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.7936,
|
| 1743 |
+
"grad_norm": 0.5834536552429199,
|
| 1744 |
+
"learning_rate": 2.0672e-06,
|
| 1745 |
+
"loss": 1.3048,
|
| 1746 |
+
"step": 2480
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.7968,
|
| 1750 |
+
"grad_norm": 0.4839385151863098,
|
| 1751 |
+
"learning_rate": 2.0352000000000004e-06,
|
| 1752 |
+
"loss": 1.2803,
|
| 1753 |
+
"step": 2490
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 0.8,
|
| 1757 |
+
"grad_norm": 0.588320255279541,
|
| 1758 |
+
"learning_rate": 2.0032e-06,
|
| 1759 |
+
"loss": 1.2276,
|
| 1760 |
+
"step": 2500
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 0.8032,
|
| 1764 |
+
"grad_norm": 0.5608358383178711,
|
| 1765 |
+
"learning_rate": 1.9712e-06,
|
| 1766 |
+
"loss": 1.3644,
|
| 1767 |
+
"step": 2510
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 0.8064,
|
| 1771 |
+
"grad_norm": 0.5970802903175354,
|
| 1772 |
+
"learning_rate": 1.9392000000000004e-06,
|
| 1773 |
+
"loss": 1.2919,
|
| 1774 |
+
"step": 2520
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 0.8096,
|
| 1778 |
+
"grad_norm": 0.5823186039924622,
|
| 1779 |
+
"learning_rate": 1.9072000000000001e-06,
|
| 1780 |
+
"loss": 1.3033,
|
| 1781 |
+
"step": 2530
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.8128,
|
| 1785 |
+
"grad_norm": 0.5669010281562805,
|
| 1786 |
+
"learning_rate": 1.8752e-06,
|
| 1787 |
+
"loss": 1.3379,
|
| 1788 |
+
"step": 2540
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 0.816,
|
| 1792 |
+
"grad_norm": 0.5039373636245728,
|
| 1793 |
+
"learning_rate": 1.8432000000000002e-06,
|
| 1794 |
+
"loss": 1.2282,
|
| 1795 |
+
"step": 2550
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 0.8192,
|
| 1799 |
+
"grad_norm": 0.5700042843818665,
|
| 1800 |
+
"learning_rate": 1.8112000000000001e-06,
|
| 1801 |
+
"loss": 1.2615,
|
| 1802 |
+
"step": 2560
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.8224,
|
| 1806 |
+
"grad_norm": 0.5190805196762085,
|
| 1807 |
+
"learning_rate": 1.7792e-06,
|
| 1808 |
+
"loss": 1.2593,
|
| 1809 |
+
"step": 2570
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.8256,
|
| 1813 |
+
"grad_norm": 0.5930772423744202,
|
| 1814 |
+
"learning_rate": 1.7472e-06,
|
| 1815 |
+
"loss": 1.2265,
|
| 1816 |
+
"step": 2580
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 0.8288,
|
| 1820 |
+
"grad_norm": 0.5103446245193481,
|
| 1821 |
+
"learning_rate": 1.7152000000000001e-06,
|
| 1822 |
+
"loss": 1.2012,
|
| 1823 |
+
"step": 2590
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 0.832,
|
| 1827 |
+
"grad_norm": 0.534788966178894,
|
| 1828 |
+
"learning_rate": 1.6832e-06,
|
| 1829 |
+
"loss": 1.2393,
|
| 1830 |
+
"step": 2600
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 0.8352,
|
| 1834 |
+
"grad_norm": 0.572394609451294,
|
| 1835 |
+
"learning_rate": 1.6512e-06,
|
| 1836 |
+
"loss": 1.2876,
|
| 1837 |
+
"step": 2610
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 0.8384,
|
| 1841 |
+
"grad_norm": 0.4987950623035431,
|
| 1842 |
+
"learning_rate": 1.6192000000000003e-06,
|
| 1843 |
+
"loss": 1.2783,
|
| 1844 |
+
"step": 2620
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 0.8416,
|
| 1848 |
+
"grad_norm": 0.5138176083564758,
|
| 1849 |
+
"learning_rate": 1.5872e-06,
|
| 1850 |
+
"loss": 1.2559,
|
| 1851 |
+
"step": 2630
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 0.8448,
|
| 1855 |
+
"grad_norm": 0.5693644881248474,
|
| 1856 |
+
"learning_rate": 1.5552e-06,
|
| 1857 |
+
"loss": 1.2599,
|
| 1858 |
+
"step": 2640
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 0.848,
|
| 1862 |
+
"grad_norm": 0.6024214029312134,
|
| 1863 |
+
"learning_rate": 1.5232000000000003e-06,
|
| 1864 |
+
"loss": 1.3064,
|
| 1865 |
+
"step": 2650
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 0.8512,
|
| 1869 |
+
"grad_norm": 0.5588571429252625,
|
| 1870 |
+
"learning_rate": 1.4912000000000002e-06,
|
| 1871 |
+
"loss": 1.2977,
|
| 1872 |
+
"step": 2660
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 0.8544,
|
| 1876 |
+
"grad_norm": 0.5551236867904663,
|
| 1877 |
+
"learning_rate": 1.4592000000000001e-06,
|
| 1878 |
+
"loss": 1.3121,
|
| 1879 |
+
"step": 2670
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 0.8576,
|
| 1883 |
+
"grad_norm": 0.5989100933074951,
|
| 1884 |
+
"learning_rate": 1.4272000000000003e-06,
|
| 1885 |
+
"loss": 1.2795,
|
| 1886 |
+
"step": 2680
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 0.8608,
|
| 1890 |
+
"grad_norm": 0.6164664626121521,
|
| 1891 |
+
"learning_rate": 1.3952000000000002e-06,
|
| 1892 |
+
"loss": 1.3366,
|
| 1893 |
+
"step": 2690
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 0.864,
|
| 1897 |
+
"grad_norm": 0.6146747469902039,
|
| 1898 |
+
"learning_rate": 1.3632000000000001e-06,
|
| 1899 |
+
"loss": 1.2494,
|
| 1900 |
+
"step": 2700
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 0.8672,
|
| 1904 |
+
"grad_norm": 0.6117052435874939,
|
| 1905 |
+
"learning_rate": 1.3312e-06,
|
| 1906 |
+
"loss": 1.2398,
|
| 1907 |
+
"step": 2710
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 0.8704,
|
| 1911 |
+
"grad_norm": 0.4775325655937195,
|
| 1912 |
+
"learning_rate": 1.2992000000000002e-06,
|
| 1913 |
+
"loss": 1.3065,
|
| 1914 |
+
"step": 2720
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 0.8736,
|
| 1918 |
+
"grad_norm": 0.6605592966079712,
|
| 1919 |
+
"learning_rate": 1.2672000000000001e-06,
|
| 1920 |
+
"loss": 1.1719,
|
| 1921 |
+
"step": 2730
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 0.8768,
|
| 1925 |
+
"grad_norm": 0.48634928464889526,
|
| 1926 |
+
"learning_rate": 1.2352e-06,
|
| 1927 |
+
"loss": 1.2774,
|
| 1928 |
+
"step": 2740
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 0.88,
|
| 1932 |
+
"grad_norm": 0.6096370220184326,
|
| 1933 |
+
"learning_rate": 1.2032e-06,
|
| 1934 |
+
"loss": 1.3231,
|
| 1935 |
+
"step": 2750
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 0.8832,
|
| 1939 |
+
"grad_norm": 0.5880251526832581,
|
| 1940 |
+
"learning_rate": 1.1712000000000001e-06,
|
| 1941 |
+
"loss": 1.2641,
|
| 1942 |
+
"step": 2760
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 0.8864,
|
| 1946 |
+
"grad_norm": 0.5116971135139465,
|
| 1947 |
+
"learning_rate": 1.1392e-06,
|
| 1948 |
+
"loss": 1.2763,
|
| 1949 |
+
"step": 2770
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 0.8896,
|
| 1953 |
+
"grad_norm": 0.6191303730010986,
|
| 1954 |
+
"learning_rate": 1.1072000000000002e-06,
|
| 1955 |
+
"loss": 1.2622,
|
| 1956 |
+
"step": 2780
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 0.8928,
|
| 1960 |
+
"grad_norm": 0.5492941737174988,
|
| 1961 |
+
"learning_rate": 1.0752e-06,
|
| 1962 |
+
"loss": 1.3002,
|
| 1963 |
+
"step": 2790
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 0.896,
|
| 1967 |
+
"grad_norm": 0.6216818690299988,
|
| 1968 |
+
"learning_rate": 1.0432e-06,
|
| 1969 |
+
"loss": 1.3222,
|
| 1970 |
+
"step": 2800
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 0.8992,
|
| 1974 |
+
"grad_norm": 0.5383599400520325,
|
| 1975 |
+
"learning_rate": 1.0112000000000002e-06,
|
| 1976 |
+
"loss": 1.292,
|
| 1977 |
+
"step": 2810
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.9024,
|
| 1981 |
+
"grad_norm": 0.5288344025611877,
|
| 1982 |
+
"learning_rate": 9.792e-07,
|
| 1983 |
+
"loss": 1.2895,
|
| 1984 |
+
"step": 2820
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 0.9056,
|
| 1988 |
+
"grad_norm": 0.5043691396713257,
|
| 1989 |
+
"learning_rate": 9.472e-07,
|
| 1990 |
+
"loss": 1.2499,
|
| 1991 |
+
"step": 2830
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 0.9088,
|
| 1995 |
+
"grad_norm": 0.5582976341247559,
|
| 1996 |
+
"learning_rate": 9.152000000000001e-07,
|
| 1997 |
+
"loss": 1.2986,
|
| 1998 |
+
"step": 2840
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 0.912,
|
| 2002 |
+
"grad_norm": 0.5215420126914978,
|
| 2003 |
+
"learning_rate": 8.832000000000001e-07,
|
| 2004 |
+
"loss": 1.3142,
|
| 2005 |
+
"step": 2850
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 0.9152,
|
| 2009 |
+
"grad_norm": 0.5378311276435852,
|
| 2010 |
+
"learning_rate": 8.512000000000001e-07,
|
| 2011 |
+
"loss": 1.2104,
|
| 2012 |
+
"step": 2860
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 0.9184,
|
| 2016 |
+
"grad_norm": 0.5053496360778809,
|
| 2017 |
+
"learning_rate": 8.192000000000001e-07,
|
| 2018 |
+
"loss": 1.3056,
|
| 2019 |
+
"step": 2870
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 0.9216,
|
| 2023 |
+
"grad_norm": 0.5381192564964294,
|
| 2024 |
+
"learning_rate": 7.872000000000001e-07,
|
| 2025 |
+
"loss": 1.3055,
|
| 2026 |
+
"step": 2880
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 0.9248,
|
| 2030 |
+
"grad_norm": 0.6026363968849182,
|
| 2031 |
+
"learning_rate": 7.552000000000001e-07,
|
| 2032 |
+
"loss": 1.346,
|
| 2033 |
+
"step": 2890
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 0.928,
|
| 2037 |
+
"grad_norm": 0.5687581896781921,
|
| 2038 |
+
"learning_rate": 7.232e-07,
|
| 2039 |
+
"loss": 1.3244,
|
| 2040 |
+
"step": 2900
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 0.9312,
|
| 2044 |
+
"grad_norm": 0.5862733125686646,
|
| 2045 |
+
"learning_rate": 6.912e-07,
|
| 2046 |
+
"loss": 1.2806,
|
| 2047 |
+
"step": 2910
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 0.9344,
|
| 2051 |
+
"grad_norm": 0.47303637862205505,
|
| 2052 |
+
"learning_rate": 6.592000000000001e-07,
|
| 2053 |
+
"loss": 1.2337,
|
| 2054 |
+
"step": 2920
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 0.9376,
|
| 2058 |
+
"grad_norm": 0.509482741355896,
|
| 2059 |
+
"learning_rate": 6.272e-07,
|
| 2060 |
+
"loss": 1.2466,
|
| 2061 |
+
"step": 2930
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 0.9408,
|
| 2065 |
+
"grad_norm": 0.5245184302330017,
|
| 2066 |
+
"learning_rate": 5.952e-07,
|
| 2067 |
+
"loss": 1.2577,
|
| 2068 |
+
"step": 2940
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"epoch": 0.944,
|
| 2072 |
+
"grad_norm": 0.7082109451293945,
|
| 2073 |
+
"learning_rate": 5.632000000000001e-07,
|
| 2074 |
+
"loss": 1.2272,
|
| 2075 |
+
"step": 2950
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 0.9472,
|
| 2079 |
+
"grad_norm": 0.4797827899456024,
|
| 2080 |
+
"learning_rate": 5.312000000000001e-07,
|
| 2081 |
+
"loss": 1.3238,
|
| 2082 |
+
"step": 2960
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 0.9504,
|
| 2086 |
+
"grad_norm": 0.5341638326644897,
|
| 2087 |
+
"learning_rate": 4.992e-07,
|
| 2088 |
+
"loss": 1.313,
|
| 2089 |
+
"step": 2970
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 0.9536,
|
| 2093 |
+
"grad_norm": 0.5286096334457397,
|
| 2094 |
+
"learning_rate": 4.672e-07,
|
| 2095 |
+
"loss": 1.2538,
|
| 2096 |
+
"step": 2980
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 0.9568,
|
| 2100 |
+
"grad_norm": 0.5771506428718567,
|
| 2101 |
+
"learning_rate": 4.352000000000001e-07,
|
| 2102 |
+
"loss": 1.2869,
|
| 2103 |
+
"step": 2990
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 0.96,
|
| 2107 |
+
"grad_norm": 0.5290225744247437,
|
| 2108 |
+
"learning_rate": 4.0320000000000006e-07,
|
| 2109 |
+
"loss": 1.2882,
|
| 2110 |
+
"step": 3000
|
| 2111 |
+
}
|
| 2112 |
+
],
|
| 2113 |
+
"logging_steps": 10,
|
| 2114 |
+
"max_steps": 3125,
|
| 2115 |
+
"num_input_tokens_seen": 0,
|
| 2116 |
+
"num_train_epochs": 1,
|
| 2117 |
+
"save_steps": 500,
|
| 2118 |
+
"stateful_callbacks": {
|
| 2119 |
+
"TrainerControl": {
|
| 2120 |
+
"args": {
|
| 2121 |
+
"should_epoch_stop": false,
|
| 2122 |
+
"should_evaluate": false,
|
| 2123 |
+
"should_log": false,
|
| 2124 |
+
"should_save": true,
|
| 2125 |
+
"should_training_stop": false
|
| 2126 |
+
},
|
| 2127 |
+
"attributes": {}
|
| 2128 |
+
}
|
| 2129 |
+
},
|
| 2130 |
+
"total_flos": 4.8776953724928e+17,
|
| 2131 |
+
"train_batch_size": 16,
|
| 2132 |
+
"trial_name": null,
|
| 2133 |
+
"trial_params": null
|
| 2134 |
+
}
|
checkpoint-3000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f50bda178f37cda684cb4356d9d39f2f3b1715e2c678bf4e558b0eb08badced
|
| 3 |
+
size 5777
|
checkpoint-3125/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: codellama/CodeLlama-7b-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:codellama/CodeLlama-7b-hf
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.0
|
checkpoint-3125/adapter_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "codellama/CodeLlama-7b-hf",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 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": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"v_proj",
|
| 29 |
+
"q_proj"
|
| 30 |
+
],
|
| 31 |
+
"target_parameters": null,
|
| 32 |
+
"task_type": "CAUSAL_LM",
|
| 33 |
+
"trainable_token_indices": null,
|
| 34 |
+
"use_dora": false,
|
| 35 |
+
"use_qalora": false,
|
| 36 |
+
"use_rslora": false
|
| 37 |
+
}
|
checkpoint-3125/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0bdb8787bae35baf3d6e5b6d10ff2e190d61f0c3420b79d0e366b8ff26442ce9
|
| 3 |
+
size 33571624
|
checkpoint-3125/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a6eb99f50a94760afddd0257c62ecb8be5bde6d46363751f27a6a84b6a9f9d60
|
| 3 |
+
size 67217483
|
checkpoint-3125/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d724410ee161af9fdee45322926da8513ddd2c044ed95bb6a8a64e82766f95f7
|
| 3 |
+
size 14645
|
checkpoint-3125/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fbc43a56529ddabec3bef15ca1258355d146a12c0d2dba8f048c1fa14b4c5115
|
| 3 |
+
size 1465
|
checkpoint-3125/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"β<PRE>",
|
| 4 |
+
"β<MID>",
|
| 5 |
+
"β<SUF>",
|
| 6 |
+
"β<EOT>"
|
| 7 |
+
],
|
| 8 |
+
"bos_token": {
|
| 9 |
+
"content": "<s>",
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"normalized": false,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
},
|
| 15 |
+
"eos_token": {
|
| 16 |
+
"content": "</s>",
|
| 17 |
+
"lstrip": false,
|
| 18 |
+
"normalized": false,
|
| 19 |
+
"rstrip": false,
|
| 20 |
+
"single_word": false
|
| 21 |
+
},
|
| 22 |
+
"pad_token": "</s>",
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
checkpoint-3125/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-3125/tokenizer_config.json
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32007": {
|
| 30 |
+
"content": "β<PRE>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32008": {
|
| 38 |
+
"content": "β<SUF>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"32009": {
|
| 46 |
+
"content": "β<MID>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"32010": {
|
| 54 |
+
"content": "β<EOT>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"additional_special_tokens": [
|
| 63 |
+
"β<PRE>",
|
| 64 |
+
"β<MID>",
|
| 65 |
+
"β<SUF>",
|
| 66 |
+
"β<EOT>"
|
| 67 |
+
],
|
| 68 |
+
"bos_token": "<s>",
|
| 69 |
+
"clean_up_tokenization_spaces": false,
|
| 70 |
+
"eos_token": "</s>",
|
| 71 |
+
"eot_token": "β<EOT>",
|
| 72 |
+
"extra_special_tokens": {},
|
| 73 |
+
"fill_token": "<FILL_ME>",
|
| 74 |
+
"legacy": null,
|
| 75 |
+
"middle_token": "β<MID>",
|
| 76 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 77 |
+
"pad_token": "</s>",
|
| 78 |
+
"prefix_token": "β<PRE>",
|
| 79 |
+
"sp_model_kwargs": {},
|
| 80 |
+
"suffix_token": "β<SUF>",
|
| 81 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
| 82 |
+
"unk_token": "<unk>",
|
| 83 |
+
"use_default_system_prompt": false
|
| 84 |
+
}
|
checkpoint-3125/trainer_state.json
ADDED
|
@@ -0,0 +1,2218 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 3125,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0032,
|
| 14 |
+
"grad_norm": 0.09734748303890228,
|
| 15 |
+
"learning_rate": 9.9712e-06,
|
| 16 |
+
"loss": 1.6245,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.0064,
|
| 21 |
+
"grad_norm": 0.0981544628739357,
|
| 22 |
+
"learning_rate": 9.939200000000001e-06,
|
| 23 |
+
"loss": 1.5375,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.0096,
|
| 28 |
+
"grad_norm": 0.09418202936649323,
|
| 29 |
+
"learning_rate": 9.9072e-06,
|
| 30 |
+
"loss": 1.5647,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.0128,
|
| 35 |
+
"grad_norm": 0.10748359560966492,
|
| 36 |
+
"learning_rate": 9.8752e-06,
|
| 37 |
+
"loss": 1.6781,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.016,
|
| 42 |
+
"grad_norm": 0.12658047676086426,
|
| 43 |
+
"learning_rate": 9.843200000000001e-06,
|
| 44 |
+
"loss": 1.5854,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.0192,
|
| 49 |
+
"grad_norm": 0.1334228664636612,
|
| 50 |
+
"learning_rate": 9.8112e-06,
|
| 51 |
+
"loss": 1.5453,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.0224,
|
| 56 |
+
"grad_norm": 0.15112873911857605,
|
| 57 |
+
"learning_rate": 9.779200000000001e-06,
|
| 58 |
+
"loss": 1.5721,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.0256,
|
| 63 |
+
"grad_norm": 0.140653595328331,
|
| 64 |
+
"learning_rate": 9.7472e-06,
|
| 65 |
+
"loss": 1.5162,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.0288,
|
| 70 |
+
"grad_norm": 0.16999679803848267,
|
| 71 |
+
"learning_rate": 9.715200000000001e-06,
|
| 72 |
+
"loss": 1.5689,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.032,
|
| 77 |
+
"grad_norm": 0.1928016096353531,
|
| 78 |
+
"learning_rate": 9.6832e-06,
|
| 79 |
+
"loss": 1.5845,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.0352,
|
| 84 |
+
"grad_norm": 0.19378426671028137,
|
| 85 |
+
"learning_rate": 9.6512e-06,
|
| 86 |
+
"loss": 1.5386,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.0384,
|
| 91 |
+
"grad_norm": 0.24590148031711578,
|
| 92 |
+
"learning_rate": 9.619200000000001e-06,
|
| 93 |
+
"loss": 1.4133,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.0416,
|
| 98 |
+
"grad_norm": 0.23824049532413483,
|
| 99 |
+
"learning_rate": 9.5872e-06,
|
| 100 |
+
"loss": 1.4573,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.0448,
|
| 105 |
+
"grad_norm": 0.19866596162319183,
|
| 106 |
+
"learning_rate": 9.555200000000001e-06,
|
| 107 |
+
"loss": 1.4357,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.048,
|
| 112 |
+
"grad_norm": 0.2909606993198395,
|
| 113 |
+
"learning_rate": 9.5232e-06,
|
| 114 |
+
"loss": 1.3924,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.0512,
|
| 119 |
+
"grad_norm": 0.48891496658325195,
|
| 120 |
+
"learning_rate": 9.4912e-06,
|
| 121 |
+
"loss": 1.4041,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.0544,
|
| 126 |
+
"grad_norm": 0.3921829164028168,
|
| 127 |
+
"learning_rate": 9.4592e-06,
|
| 128 |
+
"loss": 1.3158,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.0576,
|
| 133 |
+
"grad_norm": 0.293231338262558,
|
| 134 |
+
"learning_rate": 9.4272e-06,
|
| 135 |
+
"loss": 1.4709,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.0608,
|
| 140 |
+
"grad_norm": 0.27421411871910095,
|
| 141 |
+
"learning_rate": 9.395200000000001e-06,
|
| 142 |
+
"loss": 1.4046,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.064,
|
| 147 |
+
"grad_norm": 0.1971723437309265,
|
| 148 |
+
"learning_rate": 9.3632e-06,
|
| 149 |
+
"loss": 1.417,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.0672,
|
| 154 |
+
"grad_norm": 0.27423539757728577,
|
| 155 |
+
"learning_rate": 9.3312e-06,
|
| 156 |
+
"loss": 1.3721,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.0704,
|
| 161 |
+
"grad_norm": 0.4509432315826416,
|
| 162 |
+
"learning_rate": 9.2992e-06,
|
| 163 |
+
"loss": 1.4333,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.0736,
|
| 168 |
+
"grad_norm": 0.3389282822608948,
|
| 169 |
+
"learning_rate": 9.2672e-06,
|
| 170 |
+
"loss": 1.352,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.0768,
|
| 175 |
+
"grad_norm": 0.2814404368400574,
|
| 176 |
+
"learning_rate": 9.235200000000001e-06,
|
| 177 |
+
"loss": 1.3682,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.08,
|
| 182 |
+
"grad_norm": 0.2661599814891815,
|
| 183 |
+
"learning_rate": 9.2032e-06,
|
| 184 |
+
"loss": 1.3661,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.0832,
|
| 189 |
+
"grad_norm": 0.29006555676460266,
|
| 190 |
+
"learning_rate": 9.171200000000001e-06,
|
| 191 |
+
"loss": 1.299,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.0864,
|
| 196 |
+
"grad_norm": 0.2795925438404083,
|
| 197 |
+
"learning_rate": 9.1392e-06,
|
| 198 |
+
"loss": 1.3144,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.0896,
|
| 203 |
+
"grad_norm": 0.25778502225875854,
|
| 204 |
+
"learning_rate": 9.1072e-06,
|
| 205 |
+
"loss": 1.2957,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.0928,
|
| 210 |
+
"grad_norm": 0.26814839243888855,
|
| 211 |
+
"learning_rate": 9.0752e-06,
|
| 212 |
+
"loss": 1.3356,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.096,
|
| 217 |
+
"grad_norm": 0.3247470557689667,
|
| 218 |
+
"learning_rate": 9.0432e-06,
|
| 219 |
+
"loss": 1.3458,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.0992,
|
| 224 |
+
"grad_norm": 0.36921611428260803,
|
| 225 |
+
"learning_rate": 9.011200000000001e-06,
|
| 226 |
+
"loss": 1.3601,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.1024,
|
| 231 |
+
"grad_norm": 0.31122124195098877,
|
| 232 |
+
"learning_rate": 8.979200000000002e-06,
|
| 233 |
+
"loss": 1.3131,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.1056,
|
| 238 |
+
"grad_norm": 0.3557804822921753,
|
| 239 |
+
"learning_rate": 8.9472e-06,
|
| 240 |
+
"loss": 1.426,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.1088,
|
| 245 |
+
"grad_norm": 0.3266560137271881,
|
| 246 |
+
"learning_rate": 8.9152e-06,
|
| 247 |
+
"loss": 1.3386,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.112,
|
| 252 |
+
"grad_norm": 0.3932088017463684,
|
| 253 |
+
"learning_rate": 8.8832e-06,
|
| 254 |
+
"loss": 1.3982,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.1152,
|
| 259 |
+
"grad_norm": 0.32620078325271606,
|
| 260 |
+
"learning_rate": 8.851200000000001e-06,
|
| 261 |
+
"loss": 1.3048,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.1184,
|
| 266 |
+
"grad_norm": 0.30419647693634033,
|
| 267 |
+
"learning_rate": 8.819200000000002e-06,
|
| 268 |
+
"loss": 1.3761,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.1216,
|
| 273 |
+
"grad_norm": 0.29732590913772583,
|
| 274 |
+
"learning_rate": 8.7872e-06,
|
| 275 |
+
"loss": 1.2566,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.1248,
|
| 280 |
+
"grad_norm": 0.28484678268432617,
|
| 281 |
+
"learning_rate": 8.7552e-06,
|
| 282 |
+
"loss": 1.3666,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.128,
|
| 287 |
+
"grad_norm": 0.4168960154056549,
|
| 288 |
+
"learning_rate": 8.7232e-06,
|
| 289 |
+
"loss": 1.3396,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.1312,
|
| 294 |
+
"grad_norm": 0.3573697507381439,
|
| 295 |
+
"learning_rate": 8.6912e-06,
|
| 296 |
+
"loss": 1.3684,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.1344,
|
| 301 |
+
"grad_norm": 0.4777122735977173,
|
| 302 |
+
"learning_rate": 8.659200000000002e-06,
|
| 303 |
+
"loss": 1.3059,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.1376,
|
| 308 |
+
"grad_norm": 0.26450300216674805,
|
| 309 |
+
"learning_rate": 8.627200000000001e-06,
|
| 310 |
+
"loss": 1.3283,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.1408,
|
| 315 |
+
"grad_norm": 0.37447720766067505,
|
| 316 |
+
"learning_rate": 8.5952e-06,
|
| 317 |
+
"loss": 1.2667,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.144,
|
| 322 |
+
"grad_norm": 0.30257123708724976,
|
| 323 |
+
"learning_rate": 8.5632e-06,
|
| 324 |
+
"loss": 1.3147,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.1472,
|
| 329 |
+
"grad_norm": 0.34745684266090393,
|
| 330 |
+
"learning_rate": 8.5312e-06,
|
| 331 |
+
"loss": 1.3603,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.1504,
|
| 336 |
+
"grad_norm": 0.2882753312587738,
|
| 337 |
+
"learning_rate": 8.499200000000002e-06,
|
| 338 |
+
"loss": 1.3087,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.1536,
|
| 343 |
+
"grad_norm": 0.3751160204410553,
|
| 344 |
+
"learning_rate": 8.467200000000001e-06,
|
| 345 |
+
"loss": 1.342,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.1568,
|
| 350 |
+
"grad_norm": 0.3185778260231018,
|
| 351 |
+
"learning_rate": 8.435200000000002e-06,
|
| 352 |
+
"loss": 1.35,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.16,
|
| 357 |
+
"grad_norm": 0.2853422164916992,
|
| 358 |
+
"learning_rate": 8.4032e-06,
|
| 359 |
+
"loss": 1.3105,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.1632,
|
| 364 |
+
"grad_norm": 0.3187882602214813,
|
| 365 |
+
"learning_rate": 8.3712e-06,
|
| 366 |
+
"loss": 1.2915,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.1664,
|
| 371 |
+
"grad_norm": 0.4516860842704773,
|
| 372 |
+
"learning_rate": 8.339200000000001e-06,
|
| 373 |
+
"loss": 1.3449,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.1696,
|
| 378 |
+
"grad_norm": 0.3336597681045532,
|
| 379 |
+
"learning_rate": 8.3072e-06,
|
| 380 |
+
"loss": 1.2989,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.1728,
|
| 385 |
+
"grad_norm": 0.4279087781906128,
|
| 386 |
+
"learning_rate": 8.275200000000002e-06,
|
| 387 |
+
"loss": 1.2412,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.176,
|
| 392 |
+
"grad_norm": 0.4071614742279053,
|
| 393 |
+
"learning_rate": 8.243200000000001e-06,
|
| 394 |
+
"loss": 1.414,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.1792,
|
| 399 |
+
"grad_norm": 0.3194911479949951,
|
| 400 |
+
"learning_rate": 8.2112e-06,
|
| 401 |
+
"loss": 1.2762,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.1824,
|
| 406 |
+
"grad_norm": 0.3617415428161621,
|
| 407 |
+
"learning_rate": 8.179200000000001e-06,
|
| 408 |
+
"loss": 1.3225,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.1856,
|
| 413 |
+
"grad_norm": 0.3274191915988922,
|
| 414 |
+
"learning_rate": 8.1472e-06,
|
| 415 |
+
"loss": 1.3464,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.1888,
|
| 420 |
+
"grad_norm": 0.35526078939437866,
|
| 421 |
+
"learning_rate": 8.115200000000002e-06,
|
| 422 |
+
"loss": 1.315,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.192,
|
| 427 |
+
"grad_norm": 0.3728134036064148,
|
| 428 |
+
"learning_rate": 8.0832e-06,
|
| 429 |
+
"loss": 1.3023,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.1952,
|
| 434 |
+
"grad_norm": 0.4048090875148773,
|
| 435 |
+
"learning_rate": 8.0512e-06,
|
| 436 |
+
"loss": 1.2751,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.1984,
|
| 441 |
+
"grad_norm": 0.41539278626441956,
|
| 442 |
+
"learning_rate": 8.019200000000001e-06,
|
| 443 |
+
"loss": 1.3533,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.2016,
|
| 448 |
+
"grad_norm": 0.3269357979297638,
|
| 449 |
+
"learning_rate": 7.9872e-06,
|
| 450 |
+
"loss": 1.2709,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.2048,
|
| 455 |
+
"grad_norm": 0.3444967567920685,
|
| 456 |
+
"learning_rate": 7.955200000000001e-06,
|
| 457 |
+
"loss": 1.3119,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.208,
|
| 462 |
+
"grad_norm": 0.34097886085510254,
|
| 463 |
+
"learning_rate": 7.9232e-06,
|
| 464 |
+
"loss": 1.3444,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.2112,
|
| 469 |
+
"grad_norm": 0.42459428310394287,
|
| 470 |
+
"learning_rate": 7.891200000000002e-06,
|
| 471 |
+
"loss": 1.325,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.2144,
|
| 476 |
+
"grad_norm": 0.3942951261997223,
|
| 477 |
+
"learning_rate": 7.859200000000001e-06,
|
| 478 |
+
"loss": 1.3732,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.2176,
|
| 483 |
+
"grad_norm": 0.33468231558799744,
|
| 484 |
+
"learning_rate": 7.8272e-06,
|
| 485 |
+
"loss": 1.2883,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.2208,
|
| 490 |
+
"grad_norm": 0.3964150547981262,
|
| 491 |
+
"learning_rate": 7.795200000000001e-06,
|
| 492 |
+
"loss": 1.4014,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.224,
|
| 497 |
+
"grad_norm": 0.3447844386100769,
|
| 498 |
+
"learning_rate": 7.7632e-06,
|
| 499 |
+
"loss": 1.3205,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.2272,
|
| 504 |
+
"grad_norm": 0.380398154258728,
|
| 505 |
+
"learning_rate": 7.731200000000001e-06,
|
| 506 |
+
"loss": 1.2819,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.2304,
|
| 511 |
+
"grad_norm": 0.3823450207710266,
|
| 512 |
+
"learning_rate": 7.6992e-06,
|
| 513 |
+
"loss": 1.3097,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.2336,
|
| 518 |
+
"grad_norm": 0.3383599817752838,
|
| 519 |
+
"learning_rate": 7.6672e-06,
|
| 520 |
+
"loss": 1.346,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.2368,
|
| 525 |
+
"grad_norm": 0.39140060544013977,
|
| 526 |
+
"learning_rate": 7.635200000000001e-06,
|
| 527 |
+
"loss": 1.2961,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.24,
|
| 532 |
+
"grad_norm": 0.32159295678138733,
|
| 533 |
+
"learning_rate": 7.6032e-06,
|
| 534 |
+
"loss": 1.3045,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.2432,
|
| 539 |
+
"grad_norm": 0.3853408098220825,
|
| 540 |
+
"learning_rate": 7.5712000000000005e-06,
|
| 541 |
+
"loss": 1.2935,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.2464,
|
| 546 |
+
"grad_norm": 0.39150312542915344,
|
| 547 |
+
"learning_rate": 7.539200000000001e-06,
|
| 548 |
+
"loss": 1.2976,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.2496,
|
| 553 |
+
"grad_norm": 0.39306044578552246,
|
| 554 |
+
"learning_rate": 7.507200000000001e-06,
|
| 555 |
+
"loss": 1.2588,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.2528,
|
| 560 |
+
"grad_norm": 0.39256688952445984,
|
| 561 |
+
"learning_rate": 7.4752e-06,
|
| 562 |
+
"loss": 1.3252,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.256,
|
| 567 |
+
"grad_norm": 0.3738512098789215,
|
| 568 |
+
"learning_rate": 7.4432e-06,
|
| 569 |
+
"loss": 1.3162,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.2592,
|
| 574 |
+
"grad_norm": 0.4799080491065979,
|
| 575 |
+
"learning_rate": 7.4112e-06,
|
| 576 |
+
"loss": 1.2993,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.2624,
|
| 581 |
+
"grad_norm": 0.4616535007953644,
|
| 582 |
+
"learning_rate": 7.3792000000000004e-06,
|
| 583 |
+
"loss": 1.3356,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.2656,
|
| 588 |
+
"grad_norm": 0.37460416555404663,
|
| 589 |
+
"learning_rate": 7.347200000000001e-06,
|
| 590 |
+
"loss": 1.2938,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.2688,
|
| 595 |
+
"grad_norm": 0.4229544997215271,
|
| 596 |
+
"learning_rate": 7.3152e-06,
|
| 597 |
+
"loss": 1.26,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.272,
|
| 602 |
+
"grad_norm": 0.5051556825637817,
|
| 603 |
+
"learning_rate": 7.2832e-06,
|
| 604 |
+
"loss": 1.2868,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.2752,
|
| 609 |
+
"grad_norm": 0.3845407962799072,
|
| 610 |
+
"learning_rate": 7.2512e-06,
|
| 611 |
+
"loss": 1.3255,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.2784,
|
| 616 |
+
"grad_norm": 0.43234601616859436,
|
| 617 |
+
"learning_rate": 7.2192e-06,
|
| 618 |
+
"loss": 1.2756,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.2816,
|
| 623 |
+
"grad_norm": 0.390572190284729,
|
| 624 |
+
"learning_rate": 7.187200000000001e-06,
|
| 625 |
+
"loss": 1.3053,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.2848,
|
| 630 |
+
"grad_norm": 0.385815292596817,
|
| 631 |
+
"learning_rate": 7.155200000000001e-06,
|
| 632 |
+
"loss": 1.2608,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.288,
|
| 637 |
+
"grad_norm": 0.4778871238231659,
|
| 638 |
+
"learning_rate": 7.1232e-06,
|
| 639 |
+
"loss": 1.3109,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.2912,
|
| 644 |
+
"grad_norm": 0.3777396082878113,
|
| 645 |
+
"learning_rate": 7.0912e-06,
|
| 646 |
+
"loss": 1.2723,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.2944,
|
| 651 |
+
"grad_norm": 0.4682841897010803,
|
| 652 |
+
"learning_rate": 7.0592e-06,
|
| 653 |
+
"loss": 1.3304,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.2976,
|
| 658 |
+
"grad_norm": 0.3837222754955292,
|
| 659 |
+
"learning_rate": 7.027200000000001e-06,
|
| 660 |
+
"loss": 1.3081,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.3008,
|
| 665 |
+
"grad_norm": 0.3792935907840729,
|
| 666 |
+
"learning_rate": 6.995200000000001e-06,
|
| 667 |
+
"loss": 1.3176,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.304,
|
| 672 |
+
"grad_norm": 0.476096510887146,
|
| 673 |
+
"learning_rate": 6.963200000000001e-06,
|
| 674 |
+
"loss": 1.2764,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.3072,
|
| 679 |
+
"grad_norm": 0.4119466543197632,
|
| 680 |
+
"learning_rate": 6.9312e-06,
|
| 681 |
+
"loss": 1.3563,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.3104,
|
| 686 |
+
"grad_norm": 0.40938565135002136,
|
| 687 |
+
"learning_rate": 6.8992e-06,
|
| 688 |
+
"loss": 1.2782,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.3136,
|
| 693 |
+
"grad_norm": 0.4305261969566345,
|
| 694 |
+
"learning_rate": 6.867200000000001e-06,
|
| 695 |
+
"loss": 1.3333,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.3168,
|
| 700 |
+
"grad_norm": 0.3533143997192383,
|
| 701 |
+
"learning_rate": 6.835200000000001e-06,
|
| 702 |
+
"loss": 1.3686,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.32,
|
| 707 |
+
"grad_norm": 0.43104642629623413,
|
| 708 |
+
"learning_rate": 6.803200000000001e-06,
|
| 709 |
+
"loss": 1.3461,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.3232,
|
| 714 |
+
"grad_norm": 0.5197634696960449,
|
| 715 |
+
"learning_rate": 6.771200000000001e-06,
|
| 716 |
+
"loss": 1.3316,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.3264,
|
| 721 |
+
"grad_norm": 0.4084891080856323,
|
| 722 |
+
"learning_rate": 6.7392e-06,
|
| 723 |
+
"loss": 1.2941,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.3296,
|
| 728 |
+
"grad_norm": 0.4634837508201599,
|
| 729 |
+
"learning_rate": 6.707200000000001e-06,
|
| 730 |
+
"loss": 1.2982,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.3328,
|
| 735 |
+
"grad_norm": 0.4361494183540344,
|
| 736 |
+
"learning_rate": 6.675200000000001e-06,
|
| 737 |
+
"loss": 1.334,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.336,
|
| 742 |
+
"grad_norm": 0.36735212802886963,
|
| 743 |
+
"learning_rate": 6.643200000000001e-06,
|
| 744 |
+
"loss": 1.3642,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.3392,
|
| 749 |
+
"grad_norm": 0.3968944847583771,
|
| 750 |
+
"learning_rate": 6.611200000000001e-06,
|
| 751 |
+
"loss": 1.3784,
|
| 752 |
+
"step": 1060
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.3424,
|
| 756 |
+
"grad_norm": 0.39363133907318115,
|
| 757 |
+
"learning_rate": 6.5792e-06,
|
| 758 |
+
"loss": 1.2715,
|
| 759 |
+
"step": 1070
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.3456,
|
| 763 |
+
"grad_norm": 0.4664965867996216,
|
| 764 |
+
"learning_rate": 6.547200000000001e-06,
|
| 765 |
+
"loss": 1.3436,
|
| 766 |
+
"step": 1080
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.3488,
|
| 770 |
+
"grad_norm": 0.3857831358909607,
|
| 771 |
+
"learning_rate": 6.515200000000001e-06,
|
| 772 |
+
"loss": 1.3084,
|
| 773 |
+
"step": 1090
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.352,
|
| 777 |
+
"grad_norm": 0.41258570551872253,
|
| 778 |
+
"learning_rate": 6.483200000000001e-06,
|
| 779 |
+
"loss": 1.3288,
|
| 780 |
+
"step": 1100
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.3552,
|
| 784 |
+
"grad_norm": 0.3971725404262543,
|
| 785 |
+
"learning_rate": 6.451200000000001e-06,
|
| 786 |
+
"loss": 1.3321,
|
| 787 |
+
"step": 1110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.3584,
|
| 791 |
+
"grad_norm": 0.3993317186832428,
|
| 792 |
+
"learning_rate": 6.419200000000001e-06,
|
| 793 |
+
"loss": 1.3385,
|
| 794 |
+
"step": 1120
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.3616,
|
| 798 |
+
"grad_norm": 0.5872831344604492,
|
| 799 |
+
"learning_rate": 6.3872000000000004e-06,
|
| 800 |
+
"loss": 1.2817,
|
| 801 |
+
"step": 1130
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.3648,
|
| 805 |
+
"grad_norm": 0.47822561860084534,
|
| 806 |
+
"learning_rate": 6.355200000000001e-06,
|
| 807 |
+
"loss": 1.3083,
|
| 808 |
+
"step": 1140
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.368,
|
| 812 |
+
"grad_norm": 0.5206847786903381,
|
| 813 |
+
"learning_rate": 6.323200000000001e-06,
|
| 814 |
+
"loss": 1.3457,
|
| 815 |
+
"step": 1150
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.3712,
|
| 819 |
+
"grad_norm": 0.41014567017555237,
|
| 820 |
+
"learning_rate": 6.291200000000001e-06,
|
| 821 |
+
"loss": 1.2687,
|
| 822 |
+
"step": 1160
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.3744,
|
| 826 |
+
"grad_norm": 0.39573901891708374,
|
| 827 |
+
"learning_rate": 6.259200000000001e-06,
|
| 828 |
+
"loss": 1.3257,
|
| 829 |
+
"step": 1170
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.3776,
|
| 833 |
+
"grad_norm": 0.40908557176589966,
|
| 834 |
+
"learning_rate": 6.227200000000001e-06,
|
| 835 |
+
"loss": 1.2587,
|
| 836 |
+
"step": 1180
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.3808,
|
| 840 |
+
"grad_norm": 0.4308335781097412,
|
| 841 |
+
"learning_rate": 6.1952e-06,
|
| 842 |
+
"loss": 1.2764,
|
| 843 |
+
"step": 1190
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.384,
|
| 847 |
+
"grad_norm": 0.41657981276512146,
|
| 848 |
+
"learning_rate": 6.1632000000000006e-06,
|
| 849 |
+
"loss": 1.3305,
|
| 850 |
+
"step": 1200
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.3872,
|
| 854 |
+
"grad_norm": 0.446154922246933,
|
| 855 |
+
"learning_rate": 6.131200000000001e-06,
|
| 856 |
+
"loss": 1.3323,
|
| 857 |
+
"step": 1210
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.3904,
|
| 861 |
+
"grad_norm": 0.43903544545173645,
|
| 862 |
+
"learning_rate": 6.099200000000001e-06,
|
| 863 |
+
"loss": 1.2731,
|
| 864 |
+
"step": 1220
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.3936,
|
| 868 |
+
"grad_norm": 0.4204481542110443,
|
| 869 |
+
"learning_rate": 6.067200000000001e-06,
|
| 870 |
+
"loss": 1.2569,
|
| 871 |
+
"step": 1230
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.3968,
|
| 875 |
+
"grad_norm": 0.4393060803413391,
|
| 876 |
+
"learning_rate": 6.0352e-06,
|
| 877 |
+
"loss": 1.3119,
|
| 878 |
+
"step": 1240
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.4,
|
| 882 |
+
"grad_norm": 0.42466068267822266,
|
| 883 |
+
"learning_rate": 6.0032e-06,
|
| 884 |
+
"loss": 1.2106,
|
| 885 |
+
"step": 1250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.4032,
|
| 889 |
+
"grad_norm": 0.40182891488075256,
|
| 890 |
+
"learning_rate": 5.9712000000000005e-06,
|
| 891 |
+
"loss": 1.2566,
|
| 892 |
+
"step": 1260
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.4064,
|
| 896 |
+
"grad_norm": 0.3702845275402069,
|
| 897 |
+
"learning_rate": 5.939200000000001e-06,
|
| 898 |
+
"loss": 1.3344,
|
| 899 |
+
"step": 1270
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.4096,
|
| 903 |
+
"grad_norm": 0.4409834146499634,
|
| 904 |
+
"learning_rate": 5.907200000000001e-06,
|
| 905 |
+
"loss": 1.2553,
|
| 906 |
+
"step": 1280
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.4128,
|
| 910 |
+
"grad_norm": 0.5070372223854065,
|
| 911 |
+
"learning_rate": 5.875200000000001e-06,
|
| 912 |
+
"loss": 1.2901,
|
| 913 |
+
"step": 1290
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.416,
|
| 917 |
+
"grad_norm": 0.44239479303359985,
|
| 918 |
+
"learning_rate": 5.8432e-06,
|
| 919 |
+
"loss": 1.2086,
|
| 920 |
+
"step": 1300
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.4192,
|
| 924 |
+
"grad_norm": 0.5466510653495789,
|
| 925 |
+
"learning_rate": 5.8112e-06,
|
| 926 |
+
"loss": 1.2959,
|
| 927 |
+
"step": 1310
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.4224,
|
| 931 |
+
"grad_norm": 0.5056144595146179,
|
| 932 |
+
"learning_rate": 5.7792000000000005e-06,
|
| 933 |
+
"loss": 1.3353,
|
| 934 |
+
"step": 1320
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.4256,
|
| 938 |
+
"grad_norm": 0.42606833577156067,
|
| 939 |
+
"learning_rate": 5.747200000000001e-06,
|
| 940 |
+
"loss": 1.3108,
|
| 941 |
+
"step": 1330
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.4288,
|
| 945 |
+
"grad_norm": 0.41976213455200195,
|
| 946 |
+
"learning_rate": 5.715200000000001e-06,
|
| 947 |
+
"loss": 1.3248,
|
| 948 |
+
"step": 1340
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.432,
|
| 952 |
+
"grad_norm": 0.48559048771858215,
|
| 953 |
+
"learning_rate": 5.683200000000001e-06,
|
| 954 |
+
"loss": 1.2686,
|
| 955 |
+
"step": 1350
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.4352,
|
| 959 |
+
"grad_norm": 0.47761228680610657,
|
| 960 |
+
"learning_rate": 5.6512e-06,
|
| 961 |
+
"loss": 1.281,
|
| 962 |
+
"step": 1360
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.4384,
|
| 966 |
+
"grad_norm": 0.4777953028678894,
|
| 967 |
+
"learning_rate": 5.6192e-06,
|
| 968 |
+
"loss": 1.2829,
|
| 969 |
+
"step": 1370
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.4416,
|
| 973 |
+
"grad_norm": 0.44091978669166565,
|
| 974 |
+
"learning_rate": 5.5872000000000005e-06,
|
| 975 |
+
"loss": 1.3032,
|
| 976 |
+
"step": 1380
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.4448,
|
| 980 |
+
"grad_norm": 0.48977166414260864,
|
| 981 |
+
"learning_rate": 5.555200000000001e-06,
|
| 982 |
+
"loss": 1.3418,
|
| 983 |
+
"step": 1390
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.448,
|
| 987 |
+
"grad_norm": 0.6014530062675476,
|
| 988 |
+
"learning_rate": 5.523200000000001e-06,
|
| 989 |
+
"loss": 1.2119,
|
| 990 |
+
"step": 1400
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.4512,
|
| 994 |
+
"grad_norm": 0.4750172793865204,
|
| 995 |
+
"learning_rate": 5.491200000000001e-06,
|
| 996 |
+
"loss": 1.3432,
|
| 997 |
+
"step": 1410
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.4544,
|
| 1001 |
+
"grad_norm": 0.5095167756080627,
|
| 1002 |
+
"learning_rate": 5.4592e-06,
|
| 1003 |
+
"loss": 1.3448,
|
| 1004 |
+
"step": 1420
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.4576,
|
| 1008 |
+
"grad_norm": 0.47408685088157654,
|
| 1009 |
+
"learning_rate": 5.4272e-06,
|
| 1010 |
+
"loss": 1.3436,
|
| 1011 |
+
"step": 1430
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.4608,
|
| 1015 |
+
"grad_norm": 0.45464885234832764,
|
| 1016 |
+
"learning_rate": 5.3952000000000005e-06,
|
| 1017 |
+
"loss": 1.1962,
|
| 1018 |
+
"step": 1440
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.464,
|
| 1022 |
+
"grad_norm": 0.431349515914917,
|
| 1023 |
+
"learning_rate": 5.363200000000001e-06,
|
| 1024 |
+
"loss": 1.2773,
|
| 1025 |
+
"step": 1450
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.4672,
|
| 1029 |
+
"grad_norm": 0.444397896528244,
|
| 1030 |
+
"learning_rate": 5.331200000000001e-06,
|
| 1031 |
+
"loss": 1.3163,
|
| 1032 |
+
"step": 1460
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.4704,
|
| 1036 |
+
"grad_norm": 0.4360913038253784,
|
| 1037 |
+
"learning_rate": 5.2992e-06,
|
| 1038 |
+
"loss": 1.2759,
|
| 1039 |
+
"step": 1470
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.4736,
|
| 1043 |
+
"grad_norm": 0.5152497887611389,
|
| 1044 |
+
"learning_rate": 5.2672e-06,
|
| 1045 |
+
"loss": 1.3225,
|
| 1046 |
+
"step": 1480
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.4768,
|
| 1050 |
+
"grad_norm": 0.48929157853126526,
|
| 1051 |
+
"learning_rate": 5.2352e-06,
|
| 1052 |
+
"loss": 1.3213,
|
| 1053 |
+
"step": 1490
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.48,
|
| 1057 |
+
"grad_norm": 0.4925262928009033,
|
| 1058 |
+
"learning_rate": 5.2032000000000004e-06,
|
| 1059 |
+
"loss": 1.2008,
|
| 1060 |
+
"step": 1500
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.4832,
|
| 1064 |
+
"grad_norm": 0.46162164211273193,
|
| 1065 |
+
"learning_rate": 5.1712000000000006e-06,
|
| 1066 |
+
"loss": 1.2996,
|
| 1067 |
+
"step": 1510
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.4864,
|
| 1071 |
+
"grad_norm": 0.4908200800418854,
|
| 1072 |
+
"learning_rate": 5.139200000000001e-06,
|
| 1073 |
+
"loss": 1.2729,
|
| 1074 |
+
"step": 1520
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.4896,
|
| 1078 |
+
"grad_norm": 0.5178566575050354,
|
| 1079 |
+
"learning_rate": 5.1072e-06,
|
| 1080 |
+
"loss": 1.293,
|
| 1081 |
+
"step": 1530
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.4928,
|
| 1085 |
+
"grad_norm": 0.5733951330184937,
|
| 1086 |
+
"learning_rate": 5.0752e-06,
|
| 1087 |
+
"loss": 1.3573,
|
| 1088 |
+
"step": 1540
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.496,
|
| 1092 |
+
"grad_norm": 0.4558843672275543,
|
| 1093 |
+
"learning_rate": 5.0432e-06,
|
| 1094 |
+
"loss": 1.3445,
|
| 1095 |
+
"step": 1550
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.4992,
|
| 1099 |
+
"grad_norm": 0.5171469449996948,
|
| 1100 |
+
"learning_rate": 5.0112e-06,
|
| 1101 |
+
"loss": 1.2293,
|
| 1102 |
+
"step": 1560
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.5024,
|
| 1106 |
+
"grad_norm": 0.4879666864871979,
|
| 1107 |
+
"learning_rate": 4.9792000000000005e-06,
|
| 1108 |
+
"loss": 1.31,
|
| 1109 |
+
"step": 1570
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.5056,
|
| 1113 |
+
"grad_norm": 0.4393675923347473,
|
| 1114 |
+
"learning_rate": 4.947200000000001e-06,
|
| 1115 |
+
"loss": 1.3186,
|
| 1116 |
+
"step": 1580
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.5088,
|
| 1120 |
+
"grad_norm": 0.5072659254074097,
|
| 1121 |
+
"learning_rate": 4.915200000000001e-06,
|
| 1122 |
+
"loss": 1.2857,
|
| 1123 |
+
"step": 1590
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.512,
|
| 1127 |
+
"grad_norm": 0.5163191556930542,
|
| 1128 |
+
"learning_rate": 4.8832e-06,
|
| 1129 |
+
"loss": 1.3401,
|
| 1130 |
+
"step": 1600
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.5152,
|
| 1134 |
+
"grad_norm": 0.5119105577468872,
|
| 1135 |
+
"learning_rate": 4.8512e-06,
|
| 1136 |
+
"loss": 1.32,
|
| 1137 |
+
"step": 1610
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.5184,
|
| 1141 |
+
"grad_norm": 0.5342932939529419,
|
| 1142 |
+
"learning_rate": 4.8192e-06,
|
| 1143 |
+
"loss": 1.206,
|
| 1144 |
+
"step": 1620
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.5216,
|
| 1148 |
+
"grad_norm": 0.4517419636249542,
|
| 1149 |
+
"learning_rate": 4.7872000000000005e-06,
|
| 1150 |
+
"loss": 1.3077,
|
| 1151 |
+
"step": 1630
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.5248,
|
| 1155 |
+
"grad_norm": 0.46141722798347473,
|
| 1156 |
+
"learning_rate": 4.755200000000001e-06,
|
| 1157 |
+
"loss": 1.2873,
|
| 1158 |
+
"step": 1640
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.528,
|
| 1162 |
+
"grad_norm": 0.41747117042541504,
|
| 1163 |
+
"learning_rate": 4.723200000000001e-06,
|
| 1164 |
+
"loss": 1.2715,
|
| 1165 |
+
"step": 1650
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.5312,
|
| 1169 |
+
"grad_norm": 0.48263996839523315,
|
| 1170 |
+
"learning_rate": 4.6912e-06,
|
| 1171 |
+
"loss": 1.2814,
|
| 1172 |
+
"step": 1660
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.5344,
|
| 1176 |
+
"grad_norm": 0.4876611828804016,
|
| 1177 |
+
"learning_rate": 4.6592e-06,
|
| 1178 |
+
"loss": 1.2776,
|
| 1179 |
+
"step": 1670
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.5376,
|
| 1183 |
+
"grad_norm": 0.46099624037742615,
|
| 1184 |
+
"learning_rate": 4.6272e-06,
|
| 1185 |
+
"loss": 1.3839,
|
| 1186 |
+
"step": 1680
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.5408,
|
| 1190 |
+
"grad_norm": 0.46614623069763184,
|
| 1191 |
+
"learning_rate": 4.5952000000000005e-06,
|
| 1192 |
+
"loss": 1.2717,
|
| 1193 |
+
"step": 1690
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.544,
|
| 1197 |
+
"grad_norm": 0.48747870326042175,
|
| 1198 |
+
"learning_rate": 4.563200000000001e-06,
|
| 1199 |
+
"loss": 1.2937,
|
| 1200 |
+
"step": 1700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.5472,
|
| 1204 |
+
"grad_norm": 0.5542135238647461,
|
| 1205 |
+
"learning_rate": 4.531200000000001e-06,
|
| 1206 |
+
"loss": 1.2622,
|
| 1207 |
+
"step": 1710
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.5504,
|
| 1211 |
+
"grad_norm": 0.46008777618408203,
|
| 1212 |
+
"learning_rate": 4.4992e-06,
|
| 1213 |
+
"loss": 1.3188,
|
| 1214 |
+
"step": 1720
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.5536,
|
| 1218 |
+
"grad_norm": 0.4853471517562866,
|
| 1219 |
+
"learning_rate": 4.4672e-06,
|
| 1220 |
+
"loss": 1.252,
|
| 1221 |
+
"step": 1730
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.5568,
|
| 1225 |
+
"grad_norm": 0.44900670647621155,
|
| 1226 |
+
"learning_rate": 4.4352e-06,
|
| 1227 |
+
"loss": 1.2549,
|
| 1228 |
+
"step": 1740
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.56,
|
| 1232 |
+
"grad_norm": 0.4973522126674652,
|
| 1233 |
+
"learning_rate": 4.4032000000000005e-06,
|
| 1234 |
+
"loss": 1.2959,
|
| 1235 |
+
"step": 1750
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.5632,
|
| 1239 |
+
"grad_norm": 0.45412448048591614,
|
| 1240 |
+
"learning_rate": 4.371200000000001e-06,
|
| 1241 |
+
"loss": 1.2092,
|
| 1242 |
+
"step": 1760
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.5664,
|
| 1246 |
+
"grad_norm": 0.5110604763031006,
|
| 1247 |
+
"learning_rate": 4.3392e-06,
|
| 1248 |
+
"loss": 1.3127,
|
| 1249 |
+
"step": 1770
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.5696,
|
| 1253 |
+
"grad_norm": 0.5951307415962219,
|
| 1254 |
+
"learning_rate": 4.3072e-06,
|
| 1255 |
+
"loss": 1.2603,
|
| 1256 |
+
"step": 1780
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.5728,
|
| 1260 |
+
"grad_norm": 0.49740588665008545,
|
| 1261 |
+
"learning_rate": 4.2752e-06,
|
| 1262 |
+
"loss": 1.2609,
|
| 1263 |
+
"step": 1790
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.576,
|
| 1267 |
+
"grad_norm": 0.4803503155708313,
|
| 1268 |
+
"learning_rate": 4.2432e-06,
|
| 1269 |
+
"loss": 1.2287,
|
| 1270 |
+
"step": 1800
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.5792,
|
| 1274 |
+
"grad_norm": 0.48638489842414856,
|
| 1275 |
+
"learning_rate": 4.2112000000000004e-06,
|
| 1276 |
+
"loss": 1.2245,
|
| 1277 |
+
"step": 1810
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.5824,
|
| 1281 |
+
"grad_norm": 0.48148202896118164,
|
| 1282 |
+
"learning_rate": 4.179200000000001e-06,
|
| 1283 |
+
"loss": 1.2858,
|
| 1284 |
+
"step": 1820
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.5856,
|
| 1288 |
+
"grad_norm": 0.5493887662887573,
|
| 1289 |
+
"learning_rate": 4.1472e-06,
|
| 1290 |
+
"loss": 1.2765,
|
| 1291 |
+
"step": 1830
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.5888,
|
| 1295 |
+
"grad_norm": 0.45376092195510864,
|
| 1296 |
+
"learning_rate": 4.1152e-06,
|
| 1297 |
+
"loss": 1.1914,
|
| 1298 |
+
"step": 1840
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.592,
|
| 1302 |
+
"grad_norm": 0.5095167756080627,
|
| 1303 |
+
"learning_rate": 4.0832e-06,
|
| 1304 |
+
"loss": 1.2916,
|
| 1305 |
+
"step": 1850
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.5952,
|
| 1309 |
+
"grad_norm": 0.5425928831100464,
|
| 1310 |
+
"learning_rate": 4.0512e-06,
|
| 1311 |
+
"loss": 1.2189,
|
| 1312 |
+
"step": 1860
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.5984,
|
| 1316 |
+
"grad_norm": 0.46790796518325806,
|
| 1317 |
+
"learning_rate": 4.0192e-06,
|
| 1318 |
+
"loss": 1.3668,
|
| 1319 |
+
"step": 1870
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.6016,
|
| 1323 |
+
"grad_norm": 0.48903679847717285,
|
| 1324 |
+
"learning_rate": 3.9872000000000006e-06,
|
| 1325 |
+
"loss": 1.2132,
|
| 1326 |
+
"step": 1880
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.6048,
|
| 1330 |
+
"grad_norm": 0.47461065649986267,
|
| 1331 |
+
"learning_rate": 3.9552e-06,
|
| 1332 |
+
"loss": 1.2794,
|
| 1333 |
+
"step": 1890
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.608,
|
| 1337 |
+
"grad_norm": 0.4707651436328888,
|
| 1338 |
+
"learning_rate": 3.9232e-06,
|
| 1339 |
+
"loss": 1.3,
|
| 1340 |
+
"step": 1900
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.6112,
|
| 1344 |
+
"grad_norm": 0.5604966878890991,
|
| 1345 |
+
"learning_rate": 3.8912e-06,
|
| 1346 |
+
"loss": 1.2272,
|
| 1347 |
+
"step": 1910
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.6144,
|
| 1351 |
+
"grad_norm": 0.5373271107673645,
|
| 1352 |
+
"learning_rate": 3.8592e-06,
|
| 1353 |
+
"loss": 1.2522,
|
| 1354 |
+
"step": 1920
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.6176,
|
| 1358 |
+
"grad_norm": 0.50235915184021,
|
| 1359 |
+
"learning_rate": 3.8272e-06,
|
| 1360 |
+
"loss": 1.2486,
|
| 1361 |
+
"step": 1930
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.6208,
|
| 1365 |
+
"grad_norm": 0.4826876223087311,
|
| 1366 |
+
"learning_rate": 3.7952000000000005e-06,
|
| 1367 |
+
"loss": 1.3355,
|
| 1368 |
+
"step": 1940
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.624,
|
| 1372 |
+
"grad_norm": 0.46976956725120544,
|
| 1373 |
+
"learning_rate": 3.7632000000000002e-06,
|
| 1374 |
+
"loss": 1.2725,
|
| 1375 |
+
"step": 1950
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.6272,
|
| 1379 |
+
"grad_norm": 0.5186979174613953,
|
| 1380 |
+
"learning_rate": 3.7312000000000004e-06,
|
| 1381 |
+
"loss": 1.3073,
|
| 1382 |
+
"step": 1960
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.6304,
|
| 1386 |
+
"grad_norm": 0.4939082860946655,
|
| 1387 |
+
"learning_rate": 3.6992000000000005e-06,
|
| 1388 |
+
"loss": 1.2649,
|
| 1389 |
+
"step": 1970
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.6336,
|
| 1393 |
+
"grad_norm": 0.5091391205787659,
|
| 1394 |
+
"learning_rate": 3.6672000000000002e-06,
|
| 1395 |
+
"loss": 1.4142,
|
| 1396 |
+
"step": 1980
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.6368,
|
| 1400 |
+
"grad_norm": 0.4665001928806305,
|
| 1401 |
+
"learning_rate": 3.6352000000000004e-06,
|
| 1402 |
+
"loss": 1.2606,
|
| 1403 |
+
"step": 1990
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.64,
|
| 1407 |
+
"grad_norm": 0.48443859815597534,
|
| 1408 |
+
"learning_rate": 3.6032e-06,
|
| 1409 |
+
"loss": 1.1884,
|
| 1410 |
+
"step": 2000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.6432,
|
| 1414 |
+
"grad_norm": 0.5871022939682007,
|
| 1415 |
+
"learning_rate": 3.5712000000000002e-06,
|
| 1416 |
+
"loss": 1.3792,
|
| 1417 |
+
"step": 2010
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.6464,
|
| 1421 |
+
"grad_norm": 0.48302605748176575,
|
| 1422 |
+
"learning_rate": 3.5392000000000004e-06,
|
| 1423 |
+
"loss": 1.262,
|
| 1424 |
+
"step": 2020
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.6496,
|
| 1428 |
+
"grad_norm": 0.4569855034351349,
|
| 1429 |
+
"learning_rate": 3.5072e-06,
|
| 1430 |
+
"loss": 1.2587,
|
| 1431 |
+
"step": 2030
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.6528,
|
| 1435 |
+
"grad_norm": 0.5194870829582214,
|
| 1436 |
+
"learning_rate": 3.4752e-06,
|
| 1437 |
+
"loss": 1.3056,
|
| 1438 |
+
"step": 2040
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.656,
|
| 1442 |
+
"grad_norm": 0.4751642346382141,
|
| 1443 |
+
"learning_rate": 3.4432000000000003e-06,
|
| 1444 |
+
"loss": 1.1733,
|
| 1445 |
+
"step": 2050
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.6592,
|
| 1449 |
+
"grad_norm": 0.5077437162399292,
|
| 1450 |
+
"learning_rate": 3.4112e-06,
|
| 1451 |
+
"loss": 1.3218,
|
| 1452 |
+
"step": 2060
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.6624,
|
| 1456 |
+
"grad_norm": 0.49009519815444946,
|
| 1457 |
+
"learning_rate": 3.3792e-06,
|
| 1458 |
+
"loss": 1.224,
|
| 1459 |
+
"step": 2070
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.6656,
|
| 1463 |
+
"grad_norm": 0.4634891152381897,
|
| 1464 |
+
"learning_rate": 3.3472000000000003e-06,
|
| 1465 |
+
"loss": 1.2727,
|
| 1466 |
+
"step": 2080
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.6688,
|
| 1470 |
+
"grad_norm": 0.5274826884269714,
|
| 1471 |
+
"learning_rate": 3.3152e-06,
|
| 1472 |
+
"loss": 1.2916,
|
| 1473 |
+
"step": 2090
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.672,
|
| 1477 |
+
"grad_norm": 0.5165941715240479,
|
| 1478 |
+
"learning_rate": 3.2832e-06,
|
| 1479 |
+
"loss": 1.2878,
|
| 1480 |
+
"step": 2100
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.6752,
|
| 1484 |
+
"grad_norm": 0.5654541254043579,
|
| 1485 |
+
"learning_rate": 3.2512000000000003e-06,
|
| 1486 |
+
"loss": 1.2749,
|
| 1487 |
+
"step": 2110
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.6784,
|
| 1491 |
+
"grad_norm": 0.49610668420791626,
|
| 1492 |
+
"learning_rate": 3.2192e-06,
|
| 1493 |
+
"loss": 1.2668,
|
| 1494 |
+
"step": 2120
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.6816,
|
| 1498 |
+
"grad_norm": 0.5377901196479797,
|
| 1499 |
+
"learning_rate": 3.1872e-06,
|
| 1500 |
+
"loss": 1.2671,
|
| 1501 |
+
"step": 2130
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.6848,
|
| 1505 |
+
"grad_norm": 0.5280618071556091,
|
| 1506 |
+
"learning_rate": 3.1552000000000003e-06,
|
| 1507 |
+
"loss": 1.2637,
|
| 1508 |
+
"step": 2140
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.688,
|
| 1512 |
+
"grad_norm": 0.5266459584236145,
|
| 1513 |
+
"learning_rate": 3.1232e-06,
|
| 1514 |
+
"loss": 1.2604,
|
| 1515 |
+
"step": 2150
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.6912,
|
| 1519 |
+
"grad_norm": 0.47189775109291077,
|
| 1520 |
+
"learning_rate": 3.0912e-06,
|
| 1521 |
+
"loss": 1.2546,
|
| 1522 |
+
"step": 2160
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.6944,
|
| 1526 |
+
"grad_norm": 0.5069970488548279,
|
| 1527 |
+
"learning_rate": 3.0592000000000007e-06,
|
| 1528 |
+
"loss": 1.2538,
|
| 1529 |
+
"step": 2170
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.6976,
|
| 1533 |
+
"grad_norm": 0.5452210903167725,
|
| 1534 |
+
"learning_rate": 3.0272e-06,
|
| 1535 |
+
"loss": 1.2896,
|
| 1536 |
+
"step": 2180
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.7008,
|
| 1540 |
+
"grad_norm": 0.47197288274765015,
|
| 1541 |
+
"learning_rate": 2.9952e-06,
|
| 1542 |
+
"loss": 1.2104,
|
| 1543 |
+
"step": 2190
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.704,
|
| 1547 |
+
"grad_norm": 0.5163410305976868,
|
| 1548 |
+
"learning_rate": 2.9632e-06,
|
| 1549 |
+
"loss": 1.2495,
|
| 1550 |
+
"step": 2200
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 0.7072,
|
| 1554 |
+
"grad_norm": 0.4659384787082672,
|
| 1555 |
+
"learning_rate": 2.9312e-06,
|
| 1556 |
+
"loss": 1.226,
|
| 1557 |
+
"step": 2210
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.7104,
|
| 1561 |
+
"grad_norm": 0.5424367189407349,
|
| 1562 |
+
"learning_rate": 2.8992000000000005e-06,
|
| 1563 |
+
"loss": 1.3475,
|
| 1564 |
+
"step": 2220
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 0.7136,
|
| 1568 |
+
"grad_norm": 0.5033388137817383,
|
| 1569 |
+
"learning_rate": 2.8672e-06,
|
| 1570 |
+
"loss": 1.2415,
|
| 1571 |
+
"step": 2230
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 0.7168,
|
| 1575 |
+
"grad_norm": 0.4847257733345032,
|
| 1576 |
+
"learning_rate": 2.8352e-06,
|
| 1577 |
+
"loss": 1.2562,
|
| 1578 |
+
"step": 2240
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.72,
|
| 1582 |
+
"grad_norm": 0.5888292789459229,
|
| 1583 |
+
"learning_rate": 2.8032000000000005e-06,
|
| 1584 |
+
"loss": 1.3166,
|
| 1585 |
+
"step": 2250
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.7232,
|
| 1589 |
+
"grad_norm": 0.5637612342834473,
|
| 1590 |
+
"learning_rate": 2.7712e-06,
|
| 1591 |
+
"loss": 1.2805,
|
| 1592 |
+
"step": 2260
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.7264,
|
| 1596 |
+
"grad_norm": 0.477873831987381,
|
| 1597 |
+
"learning_rate": 2.7392000000000004e-06,
|
| 1598 |
+
"loss": 1.2804,
|
| 1599 |
+
"step": 2270
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.7296,
|
| 1603 |
+
"grad_norm": 0.627713143825531,
|
| 1604 |
+
"learning_rate": 2.7072000000000005e-06,
|
| 1605 |
+
"loss": 1.2844,
|
| 1606 |
+
"step": 2280
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.7328,
|
| 1610 |
+
"grad_norm": 0.5947350859642029,
|
| 1611 |
+
"learning_rate": 2.6752e-06,
|
| 1612 |
+
"loss": 1.28,
|
| 1613 |
+
"step": 2290
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.736,
|
| 1617 |
+
"grad_norm": 0.49309098720550537,
|
| 1618 |
+
"learning_rate": 2.6432000000000004e-06,
|
| 1619 |
+
"loss": 1.353,
|
| 1620 |
+
"step": 2300
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.7392,
|
| 1624 |
+
"grad_norm": 0.5657567381858826,
|
| 1625 |
+
"learning_rate": 2.6112000000000005e-06,
|
| 1626 |
+
"loss": 1.3422,
|
| 1627 |
+
"step": 2310
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.7424,
|
| 1631 |
+
"grad_norm": 0.5906503200531006,
|
| 1632 |
+
"learning_rate": 2.5792000000000002e-06,
|
| 1633 |
+
"loss": 1.2691,
|
| 1634 |
+
"step": 2320
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.7456,
|
| 1638 |
+
"grad_norm": 0.5093393325805664,
|
| 1639 |
+
"learning_rate": 2.5472000000000004e-06,
|
| 1640 |
+
"loss": 1.2689,
|
| 1641 |
+
"step": 2330
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.7488,
|
| 1645 |
+
"grad_norm": 0.48354557156562805,
|
| 1646 |
+
"learning_rate": 2.5152000000000005e-06,
|
| 1647 |
+
"loss": 1.2062,
|
| 1648 |
+
"step": 2340
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.752,
|
| 1652 |
+
"grad_norm": 0.6542074084281921,
|
| 1653 |
+
"learning_rate": 2.4832000000000002e-06,
|
| 1654 |
+
"loss": 1.2852,
|
| 1655 |
+
"step": 2350
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.7552,
|
| 1659 |
+
"grad_norm": 0.5252315998077393,
|
| 1660 |
+
"learning_rate": 2.4512000000000003e-06,
|
| 1661 |
+
"loss": 1.2635,
|
| 1662 |
+
"step": 2360
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.7584,
|
| 1666 |
+
"grad_norm": 0.48583582043647766,
|
| 1667 |
+
"learning_rate": 2.4192e-06,
|
| 1668 |
+
"loss": 1.2096,
|
| 1669 |
+
"step": 2370
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.7616,
|
| 1673 |
+
"grad_norm": 0.49642977118492126,
|
| 1674 |
+
"learning_rate": 2.3872e-06,
|
| 1675 |
+
"loss": 1.2424,
|
| 1676 |
+
"step": 2380
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.7648,
|
| 1680 |
+
"grad_norm": 0.6025352478027344,
|
| 1681 |
+
"learning_rate": 2.3552000000000003e-06,
|
| 1682 |
+
"loss": 1.2992,
|
| 1683 |
+
"step": 2390
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.768,
|
| 1687 |
+
"grad_norm": 0.5461027026176453,
|
| 1688 |
+
"learning_rate": 2.3232e-06,
|
| 1689 |
+
"loss": 1.2946,
|
| 1690 |
+
"step": 2400
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.7712,
|
| 1694 |
+
"grad_norm": 0.6130191683769226,
|
| 1695 |
+
"learning_rate": 2.2912e-06,
|
| 1696 |
+
"loss": 1.2398,
|
| 1697 |
+
"step": 2410
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.7744,
|
| 1701 |
+
"grad_norm": 0.6468284726142883,
|
| 1702 |
+
"learning_rate": 2.2592000000000003e-06,
|
| 1703 |
+
"loss": 1.3087,
|
| 1704 |
+
"step": 2420
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.7776,
|
| 1708 |
+
"grad_norm": 0.6268571019172668,
|
| 1709 |
+
"learning_rate": 2.2272e-06,
|
| 1710 |
+
"loss": 1.1613,
|
| 1711 |
+
"step": 2430
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.7808,
|
| 1715 |
+
"grad_norm": 0.7104691863059998,
|
| 1716 |
+
"learning_rate": 2.1952e-06,
|
| 1717 |
+
"loss": 1.27,
|
| 1718 |
+
"step": 2440
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.784,
|
| 1722 |
+
"grad_norm": 0.4856204688549042,
|
| 1723 |
+
"learning_rate": 2.1632000000000003e-06,
|
| 1724 |
+
"loss": 1.2731,
|
| 1725 |
+
"step": 2450
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.7872,
|
| 1729 |
+
"grad_norm": 0.5168479681015015,
|
| 1730 |
+
"learning_rate": 2.1312e-06,
|
| 1731 |
+
"loss": 1.3437,
|
| 1732 |
+
"step": 2460
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.7904,
|
| 1736 |
+
"grad_norm": 0.659817636013031,
|
| 1737 |
+
"learning_rate": 2.0992e-06,
|
| 1738 |
+
"loss": 1.2839,
|
| 1739 |
+
"step": 2470
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.7936,
|
| 1743 |
+
"grad_norm": 0.5834536552429199,
|
| 1744 |
+
"learning_rate": 2.0672e-06,
|
| 1745 |
+
"loss": 1.3048,
|
| 1746 |
+
"step": 2480
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.7968,
|
| 1750 |
+
"grad_norm": 0.4839385151863098,
|
| 1751 |
+
"learning_rate": 2.0352000000000004e-06,
|
| 1752 |
+
"loss": 1.2803,
|
| 1753 |
+
"step": 2490
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 0.8,
|
| 1757 |
+
"grad_norm": 0.588320255279541,
|
| 1758 |
+
"learning_rate": 2.0032e-06,
|
| 1759 |
+
"loss": 1.2276,
|
| 1760 |
+
"step": 2500
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 0.8032,
|
| 1764 |
+
"grad_norm": 0.5608358383178711,
|
| 1765 |
+
"learning_rate": 1.9712e-06,
|
| 1766 |
+
"loss": 1.3644,
|
| 1767 |
+
"step": 2510
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 0.8064,
|
| 1771 |
+
"grad_norm": 0.5970802903175354,
|
| 1772 |
+
"learning_rate": 1.9392000000000004e-06,
|
| 1773 |
+
"loss": 1.2919,
|
| 1774 |
+
"step": 2520
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 0.8096,
|
| 1778 |
+
"grad_norm": 0.5823186039924622,
|
| 1779 |
+
"learning_rate": 1.9072000000000001e-06,
|
| 1780 |
+
"loss": 1.3033,
|
| 1781 |
+
"step": 2530
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.8128,
|
| 1785 |
+
"grad_norm": 0.5669010281562805,
|
| 1786 |
+
"learning_rate": 1.8752e-06,
|
| 1787 |
+
"loss": 1.3379,
|
| 1788 |
+
"step": 2540
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 0.816,
|
| 1792 |
+
"grad_norm": 0.5039373636245728,
|
| 1793 |
+
"learning_rate": 1.8432000000000002e-06,
|
| 1794 |
+
"loss": 1.2282,
|
| 1795 |
+
"step": 2550
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 0.8192,
|
| 1799 |
+
"grad_norm": 0.5700042843818665,
|
| 1800 |
+
"learning_rate": 1.8112000000000001e-06,
|
| 1801 |
+
"loss": 1.2615,
|
| 1802 |
+
"step": 2560
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.8224,
|
| 1806 |
+
"grad_norm": 0.5190805196762085,
|
| 1807 |
+
"learning_rate": 1.7792e-06,
|
| 1808 |
+
"loss": 1.2593,
|
| 1809 |
+
"step": 2570
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.8256,
|
| 1813 |
+
"grad_norm": 0.5930772423744202,
|
| 1814 |
+
"learning_rate": 1.7472e-06,
|
| 1815 |
+
"loss": 1.2265,
|
| 1816 |
+
"step": 2580
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 0.8288,
|
| 1820 |
+
"grad_norm": 0.5103446245193481,
|
| 1821 |
+
"learning_rate": 1.7152000000000001e-06,
|
| 1822 |
+
"loss": 1.2012,
|
| 1823 |
+
"step": 2590
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 0.832,
|
| 1827 |
+
"grad_norm": 0.534788966178894,
|
| 1828 |
+
"learning_rate": 1.6832e-06,
|
| 1829 |
+
"loss": 1.2393,
|
| 1830 |
+
"step": 2600
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 0.8352,
|
| 1834 |
+
"grad_norm": 0.572394609451294,
|
| 1835 |
+
"learning_rate": 1.6512e-06,
|
| 1836 |
+
"loss": 1.2876,
|
| 1837 |
+
"step": 2610
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 0.8384,
|
| 1841 |
+
"grad_norm": 0.4987950623035431,
|
| 1842 |
+
"learning_rate": 1.6192000000000003e-06,
|
| 1843 |
+
"loss": 1.2783,
|
| 1844 |
+
"step": 2620
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 0.8416,
|
| 1848 |
+
"grad_norm": 0.5138176083564758,
|
| 1849 |
+
"learning_rate": 1.5872e-06,
|
| 1850 |
+
"loss": 1.2559,
|
| 1851 |
+
"step": 2630
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 0.8448,
|
| 1855 |
+
"grad_norm": 0.5693644881248474,
|
| 1856 |
+
"learning_rate": 1.5552e-06,
|
| 1857 |
+
"loss": 1.2599,
|
| 1858 |
+
"step": 2640
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 0.848,
|
| 1862 |
+
"grad_norm": 0.6024214029312134,
|
| 1863 |
+
"learning_rate": 1.5232000000000003e-06,
|
| 1864 |
+
"loss": 1.3064,
|
| 1865 |
+
"step": 2650
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 0.8512,
|
| 1869 |
+
"grad_norm": 0.5588571429252625,
|
| 1870 |
+
"learning_rate": 1.4912000000000002e-06,
|
| 1871 |
+
"loss": 1.2977,
|
| 1872 |
+
"step": 2660
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 0.8544,
|
| 1876 |
+
"grad_norm": 0.5551236867904663,
|
| 1877 |
+
"learning_rate": 1.4592000000000001e-06,
|
| 1878 |
+
"loss": 1.3121,
|
| 1879 |
+
"step": 2670
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 0.8576,
|
| 1883 |
+
"grad_norm": 0.5989100933074951,
|
| 1884 |
+
"learning_rate": 1.4272000000000003e-06,
|
| 1885 |
+
"loss": 1.2795,
|
| 1886 |
+
"step": 2680
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 0.8608,
|
| 1890 |
+
"grad_norm": 0.6164664626121521,
|
| 1891 |
+
"learning_rate": 1.3952000000000002e-06,
|
| 1892 |
+
"loss": 1.3366,
|
| 1893 |
+
"step": 2690
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 0.864,
|
| 1897 |
+
"grad_norm": 0.6146747469902039,
|
| 1898 |
+
"learning_rate": 1.3632000000000001e-06,
|
| 1899 |
+
"loss": 1.2494,
|
| 1900 |
+
"step": 2700
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 0.8672,
|
| 1904 |
+
"grad_norm": 0.6117052435874939,
|
| 1905 |
+
"learning_rate": 1.3312e-06,
|
| 1906 |
+
"loss": 1.2398,
|
| 1907 |
+
"step": 2710
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 0.8704,
|
| 1911 |
+
"grad_norm": 0.4775325655937195,
|
| 1912 |
+
"learning_rate": 1.2992000000000002e-06,
|
| 1913 |
+
"loss": 1.3065,
|
| 1914 |
+
"step": 2720
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 0.8736,
|
| 1918 |
+
"grad_norm": 0.6605592966079712,
|
| 1919 |
+
"learning_rate": 1.2672000000000001e-06,
|
| 1920 |
+
"loss": 1.1719,
|
| 1921 |
+
"step": 2730
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 0.8768,
|
| 1925 |
+
"grad_norm": 0.48634928464889526,
|
| 1926 |
+
"learning_rate": 1.2352e-06,
|
| 1927 |
+
"loss": 1.2774,
|
| 1928 |
+
"step": 2740
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 0.88,
|
| 1932 |
+
"grad_norm": 0.6096370220184326,
|
| 1933 |
+
"learning_rate": 1.2032e-06,
|
| 1934 |
+
"loss": 1.3231,
|
| 1935 |
+
"step": 2750
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 0.8832,
|
| 1939 |
+
"grad_norm": 0.5880251526832581,
|
| 1940 |
+
"learning_rate": 1.1712000000000001e-06,
|
| 1941 |
+
"loss": 1.2641,
|
| 1942 |
+
"step": 2760
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 0.8864,
|
| 1946 |
+
"grad_norm": 0.5116971135139465,
|
| 1947 |
+
"learning_rate": 1.1392e-06,
|
| 1948 |
+
"loss": 1.2763,
|
| 1949 |
+
"step": 2770
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 0.8896,
|
| 1953 |
+
"grad_norm": 0.6191303730010986,
|
| 1954 |
+
"learning_rate": 1.1072000000000002e-06,
|
| 1955 |
+
"loss": 1.2622,
|
| 1956 |
+
"step": 2780
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 0.8928,
|
| 1960 |
+
"grad_norm": 0.5492941737174988,
|
| 1961 |
+
"learning_rate": 1.0752e-06,
|
| 1962 |
+
"loss": 1.3002,
|
| 1963 |
+
"step": 2790
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 0.896,
|
| 1967 |
+
"grad_norm": 0.6216818690299988,
|
| 1968 |
+
"learning_rate": 1.0432e-06,
|
| 1969 |
+
"loss": 1.3222,
|
| 1970 |
+
"step": 2800
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 0.8992,
|
| 1974 |
+
"grad_norm": 0.5383599400520325,
|
| 1975 |
+
"learning_rate": 1.0112000000000002e-06,
|
| 1976 |
+
"loss": 1.292,
|
| 1977 |
+
"step": 2810
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.9024,
|
| 1981 |
+
"grad_norm": 0.5288344025611877,
|
| 1982 |
+
"learning_rate": 9.792e-07,
|
| 1983 |
+
"loss": 1.2895,
|
| 1984 |
+
"step": 2820
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 0.9056,
|
| 1988 |
+
"grad_norm": 0.5043691396713257,
|
| 1989 |
+
"learning_rate": 9.472e-07,
|
| 1990 |
+
"loss": 1.2499,
|
| 1991 |
+
"step": 2830
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 0.9088,
|
| 1995 |
+
"grad_norm": 0.5582976341247559,
|
| 1996 |
+
"learning_rate": 9.152000000000001e-07,
|
| 1997 |
+
"loss": 1.2986,
|
| 1998 |
+
"step": 2840
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 0.912,
|
| 2002 |
+
"grad_norm": 0.5215420126914978,
|
| 2003 |
+
"learning_rate": 8.832000000000001e-07,
|
| 2004 |
+
"loss": 1.3142,
|
| 2005 |
+
"step": 2850
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 0.9152,
|
| 2009 |
+
"grad_norm": 0.5378311276435852,
|
| 2010 |
+
"learning_rate": 8.512000000000001e-07,
|
| 2011 |
+
"loss": 1.2104,
|
| 2012 |
+
"step": 2860
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 0.9184,
|
| 2016 |
+
"grad_norm": 0.5053496360778809,
|
| 2017 |
+
"learning_rate": 8.192000000000001e-07,
|
| 2018 |
+
"loss": 1.3056,
|
| 2019 |
+
"step": 2870
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 0.9216,
|
| 2023 |
+
"grad_norm": 0.5381192564964294,
|
| 2024 |
+
"learning_rate": 7.872000000000001e-07,
|
| 2025 |
+
"loss": 1.3055,
|
| 2026 |
+
"step": 2880
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 0.9248,
|
| 2030 |
+
"grad_norm": 0.6026363968849182,
|
| 2031 |
+
"learning_rate": 7.552000000000001e-07,
|
| 2032 |
+
"loss": 1.346,
|
| 2033 |
+
"step": 2890
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 0.928,
|
| 2037 |
+
"grad_norm": 0.5687581896781921,
|
| 2038 |
+
"learning_rate": 7.232e-07,
|
| 2039 |
+
"loss": 1.3244,
|
| 2040 |
+
"step": 2900
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 0.9312,
|
| 2044 |
+
"grad_norm": 0.5862733125686646,
|
| 2045 |
+
"learning_rate": 6.912e-07,
|
| 2046 |
+
"loss": 1.2806,
|
| 2047 |
+
"step": 2910
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 0.9344,
|
| 2051 |
+
"grad_norm": 0.47303637862205505,
|
| 2052 |
+
"learning_rate": 6.592000000000001e-07,
|
| 2053 |
+
"loss": 1.2337,
|
| 2054 |
+
"step": 2920
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 0.9376,
|
| 2058 |
+
"grad_norm": 0.509482741355896,
|
| 2059 |
+
"learning_rate": 6.272e-07,
|
| 2060 |
+
"loss": 1.2466,
|
| 2061 |
+
"step": 2930
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 0.9408,
|
| 2065 |
+
"grad_norm": 0.5245184302330017,
|
| 2066 |
+
"learning_rate": 5.952e-07,
|
| 2067 |
+
"loss": 1.2577,
|
| 2068 |
+
"step": 2940
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"epoch": 0.944,
|
| 2072 |
+
"grad_norm": 0.7082109451293945,
|
| 2073 |
+
"learning_rate": 5.632000000000001e-07,
|
| 2074 |
+
"loss": 1.2272,
|
| 2075 |
+
"step": 2950
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 0.9472,
|
| 2079 |
+
"grad_norm": 0.4797827899456024,
|
| 2080 |
+
"learning_rate": 5.312000000000001e-07,
|
| 2081 |
+
"loss": 1.3238,
|
| 2082 |
+
"step": 2960
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 0.9504,
|
| 2086 |
+
"grad_norm": 0.5341638326644897,
|
| 2087 |
+
"learning_rate": 4.992e-07,
|
| 2088 |
+
"loss": 1.313,
|
| 2089 |
+
"step": 2970
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 0.9536,
|
| 2093 |
+
"grad_norm": 0.5286096334457397,
|
| 2094 |
+
"learning_rate": 4.672e-07,
|
| 2095 |
+
"loss": 1.2538,
|
| 2096 |
+
"step": 2980
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 0.9568,
|
| 2100 |
+
"grad_norm": 0.5771506428718567,
|
| 2101 |
+
"learning_rate": 4.352000000000001e-07,
|
| 2102 |
+
"loss": 1.2869,
|
| 2103 |
+
"step": 2990
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 0.96,
|
| 2107 |
+
"grad_norm": 0.5290225744247437,
|
| 2108 |
+
"learning_rate": 4.0320000000000006e-07,
|
| 2109 |
+
"loss": 1.2882,
|
| 2110 |
+
"step": 3000
|
| 2111 |
+
},
|
| 2112 |
+
{
|
| 2113 |
+
"epoch": 0.9632,
|
| 2114 |
+
"grad_norm": 0.5034458637237549,
|
| 2115 |
+
"learning_rate": 3.7120000000000004e-07,
|
| 2116 |
+
"loss": 1.2333,
|
| 2117 |
+
"step": 3010
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 0.9664,
|
| 2121 |
+
"grad_norm": 0.5447474122047424,
|
| 2122 |
+
"learning_rate": 3.392e-07,
|
| 2123 |
+
"loss": 1.2834,
|
| 2124 |
+
"step": 3020
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"epoch": 0.9696,
|
| 2128 |
+
"grad_norm": 0.685217559337616,
|
| 2129 |
+
"learning_rate": 3.0720000000000005e-07,
|
| 2130 |
+
"loss": 1.3295,
|
| 2131 |
+
"step": 3030
|
| 2132 |
+
},
|
| 2133 |
+
{
|
| 2134 |
+
"epoch": 0.9728,
|
| 2135 |
+
"grad_norm": 0.5744034051895142,
|
| 2136 |
+
"learning_rate": 2.7520000000000003e-07,
|
| 2137 |
+
"loss": 1.3135,
|
| 2138 |
+
"step": 3040
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 0.976,
|
| 2142 |
+
"grad_norm": 0.7290722131729126,
|
| 2143 |
+
"learning_rate": 2.432e-07,
|
| 2144 |
+
"loss": 1.2872,
|
| 2145 |
+
"step": 3050
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 0.9792,
|
| 2149 |
+
"grad_norm": 0.517284095287323,
|
| 2150 |
+
"learning_rate": 2.112e-07,
|
| 2151 |
+
"loss": 1.2822,
|
| 2152 |
+
"step": 3060
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"epoch": 0.9824,
|
| 2156 |
+
"grad_norm": 0.5856100916862488,
|
| 2157 |
+
"learning_rate": 1.792e-07,
|
| 2158 |
+
"loss": 1.2041,
|
| 2159 |
+
"step": 3070
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 0.9856,
|
| 2163 |
+
"grad_norm": 0.5470112562179565,
|
| 2164 |
+
"learning_rate": 1.4720000000000002e-07,
|
| 2165 |
+
"loss": 1.2581,
|
| 2166 |
+
"step": 3080
|
| 2167 |
+
},
|
| 2168 |
+
{
|
| 2169 |
+
"epoch": 0.9888,
|
| 2170 |
+
"grad_norm": 0.5641172528266907,
|
| 2171 |
+
"learning_rate": 1.1520000000000001e-07,
|
| 2172 |
+
"loss": 1.3559,
|
| 2173 |
+
"step": 3090
|
| 2174 |
+
},
|
| 2175 |
+
{
|
| 2176 |
+
"epoch": 0.992,
|
| 2177 |
+
"grad_norm": 0.5377922058105469,
|
| 2178 |
+
"learning_rate": 8.32e-08,
|
| 2179 |
+
"loss": 1.2531,
|
| 2180 |
+
"step": 3100
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 0.9952,
|
| 2184 |
+
"grad_norm": 0.579965353012085,
|
| 2185 |
+
"learning_rate": 5.120000000000001e-08,
|
| 2186 |
+
"loss": 1.3203,
|
| 2187 |
+
"step": 3110
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 0.9984,
|
| 2191 |
+
"grad_norm": 0.5516660809516907,
|
| 2192 |
+
"learning_rate": 1.9200000000000003e-08,
|
| 2193 |
+
"loss": 1.2791,
|
| 2194 |
+
"step": 3120
|
| 2195 |
+
}
|
| 2196 |
+
],
|
| 2197 |
+
"logging_steps": 10,
|
| 2198 |
+
"max_steps": 3125,
|
| 2199 |
+
"num_input_tokens_seen": 0,
|
| 2200 |
+
"num_train_epochs": 1,
|
| 2201 |
+
"save_steps": 500,
|
| 2202 |
+
"stateful_callbacks": {
|
| 2203 |
+
"TrainerControl": {
|
| 2204 |
+
"args": {
|
| 2205 |
+
"should_epoch_stop": false,
|
| 2206 |
+
"should_evaluate": false,
|
| 2207 |
+
"should_log": false,
|
| 2208 |
+
"should_save": true,
|
| 2209 |
+
"should_training_stop": true
|
| 2210 |
+
},
|
| 2211 |
+
"attributes": {}
|
| 2212 |
+
}
|
| 2213 |
+
},
|
| 2214 |
+
"total_flos": 5.08093267968e+17,
|
| 2215 |
+
"train_batch_size": 16,
|
| 2216 |
+
"trial_name": null,
|
| 2217 |
+
"trial_params": null
|
| 2218 |
+
}
|
checkpoint-3125/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f50bda178f37cda684cb4356d9d39f2f3b1715e2c678bf4e558b0eb08badced
|
| 3 |
+
size 5777
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"β<PRE>",
|
| 4 |
+
"β<MID>",
|
| 5 |
+
"β<SUF>",
|
| 6 |
+
"β<EOT>"
|
| 7 |
+
],
|
| 8 |
+
"bos_token": {
|
| 9 |
+
"content": "<s>",
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"normalized": false,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
},
|
| 15 |
+
"eos_token": {
|
| 16 |
+
"content": "</s>",
|
| 17 |
+
"lstrip": false,
|
| 18 |
+
"normalized": false,
|
| 19 |
+
"rstrip": false,
|
| 20 |
+
"single_word": false
|
| 21 |
+
},
|
| 22 |
+
"pad_token": "</s>",
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32007": {
|
| 30 |
+
"content": "β<PRE>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32008": {
|
| 38 |
+
"content": "β<SUF>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"32009": {
|
| 46 |
+
"content": "β<MID>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"32010": {
|
| 54 |
+
"content": "β<EOT>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"additional_special_tokens": [
|
| 63 |
+
"β<PRE>",
|
| 64 |
+
"β<MID>",
|
| 65 |
+
"β<SUF>",
|
| 66 |
+
"β<EOT>"
|
| 67 |
+
],
|
| 68 |
+
"bos_token": "<s>",
|
| 69 |
+
"clean_up_tokenization_spaces": false,
|
| 70 |
+
"eos_token": "</s>",
|
| 71 |
+
"eot_token": "β<EOT>",
|
| 72 |
+
"extra_special_tokens": {},
|
| 73 |
+
"fill_token": "<FILL_ME>",
|
| 74 |
+
"legacy": null,
|
| 75 |
+
"middle_token": "β<MID>",
|
| 76 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 77 |
+
"pad_token": "</s>",
|
| 78 |
+
"prefix_token": "β<PRE>",
|
| 79 |
+
"sp_model_kwargs": {},
|
| 80 |
+
"suffix_token": "β<SUF>",
|
| 81 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
| 82 |
+
"unk_token": "<unk>",
|
| 83 |
+
"use_default_system_prompt": false
|
| 84 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f50bda178f37cda684cb4356d9d39f2f3b1715e2c678bf4e558b0eb08badced
|
| 3 |
+
size 5777
|