Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +59 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- all_results.json +8 -0
- checkpoint-100/README.md +202 -0
- checkpoint-100/adapter_config.json +29 -0
- checkpoint-100/adapter_model.safetensors +3 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/special_tokens_map.json +24 -0
- checkpoint-100/tokenizer.json +0 -0
- checkpoint-100/tokenizer.model +3 -0
- checkpoint-100/tokenizer_config.json +45 -0
- checkpoint-100/trainer_state.json +161 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-1000/README.md +202 -0
- checkpoint-1000/adapter_config.json +29 -0
- checkpoint-1000/adapter_model.safetensors +3 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/special_tokens_map.json +24 -0
- checkpoint-1000/tokenizer.json +0 -0
- checkpoint-1000/tokenizer.model +3 -0
- checkpoint-1000/tokenizer_config.json +45 -0
- checkpoint-1000/trainer_state.json +1421 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1100/README.md +202 -0
- checkpoint-1100/adapter_config.json +29 -0
- checkpoint-1100/adapter_model.safetensors +3 -0
- checkpoint-1100/optimizer.pt +3 -0
- checkpoint-1100/rng_state.pth +3 -0
- checkpoint-1100/scheduler.pt +3 -0
- checkpoint-1100/special_tokens_map.json +24 -0
- checkpoint-1100/tokenizer.json +0 -0
- checkpoint-1100/tokenizer.model +3 -0
- checkpoint-1100/tokenizer_config.json +45 -0
- checkpoint-1100/trainer_state.json +1561 -0
- checkpoint-1100/training_args.bin +3 -0
- checkpoint-1200/README.md +202 -0
- checkpoint-1200/adapter_config.json +29 -0
- checkpoint-1200/adapter_model.safetensors +3 -0
- checkpoint-1200/optimizer.pt +3 -0
- checkpoint-1200/rng_state.pth +3 -0
- checkpoint-1200/scheduler.pt +3 -0
- checkpoint-1200/special_tokens_map.json +24 -0
- checkpoint-1200/tokenizer.json +0 -0
- checkpoint-1200/tokenizer.model +3 -0
- checkpoint-1200/tokenizer_config.json +45 -0
README.md
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: other
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- llama-factory
|
| 6 |
+
- lora
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
| 9 |
+
model-index:
|
| 10 |
+
- name: train_2024-05-17-13-21-02
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# train_2024-05-17-13-21-02
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the sharegpt_common_zh dataset.
|
| 20 |
+
|
| 21 |
+
## Model description
|
| 22 |
+
|
| 23 |
+
More information needed
|
| 24 |
+
|
| 25 |
+
## Intended uses & limitations
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
|
| 38 |
+
- learning_rate: 5e-05
|
| 39 |
+
- train_batch_size: 1
|
| 40 |
+
- eval_batch_size: 8
|
| 41 |
+
- seed: 42
|
| 42 |
+
- gradient_accumulation_steps: 8
|
| 43 |
+
- total_train_batch_size: 8
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: cosine
|
| 46 |
+
- num_epochs: 3.0
|
| 47 |
+
- mixed_precision_training: Native AMP
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
### Framework versions
|
| 54 |
+
|
| 55 |
+
- PEFT 0.11.0
|
| 56 |
+
- Transformers 4.40.2
|
| 57 |
+
- Pytorch 2.3.0+cu121
|
| 58 |
+
- Datasets 2.19.1
|
| 59 |
+
- Tokenizers 0.19.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:86f2607b8b979968d61fec05b36c85d8ce02cab2bfc9ac5bc56aa34dd730a02b
|
| 3 |
+
size 13648432
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9993833504624874,
|
| 3 |
+
"total_flos": 8.604039501468795e+17,
|
| 4 |
+
"train_loss": 0.7956282923880377,
|
| 5 |
+
"train_runtime": 56311.986,
|
| 6 |
+
"train_samples_per_second": 0.259,
|
| 7 |
+
"train_steps_per_second": 0.032
|
| 8 |
+
}
|
checkpoint-100/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.0
|
checkpoint-100/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
checkpoint-100/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f340bdc6d2c443c6987d4a9f9fc048cd74b07a62d4f15dd91b0e771813d3c2ff
|
| 3 |
+
size 13648432
|
checkpoint-100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2b9b99998609e2480033fe551ebdcee4d1d7ba31ef792e7a24d9f508bec5dd1a
|
| 3 |
+
size 27370618
|
checkpoint-100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
| 3 |
+
size 14244
|
checkpoint-100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13873c240978112413c3070a4681f1211f79d478becf430fa6ac182f59bc0e50
|
| 3 |
+
size 1064
|
checkpoint-100/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-100/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-100/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
checkpoint-100/tokenizer_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
},
|
| 30 |
+
"additional_special_tokens": [],
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{{ '<s>' + system_message }}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ ' [INST] ' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
+
"legacy": true,
|
| 36 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 37 |
+
"pad_token": "</s>",
|
| 38 |
+
"padding_side": "right",
|
| 39 |
+
"sp_model_kwargs": {},
|
| 40 |
+
"spaces_between_special_tokens": false,
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 43 |
+
"unk_token": "<unk>",
|
| 44 |
+
"use_default_system_prompt": false
|
| 45 |
+
}
|
checkpoint-100/trainer_state.json
ADDED
|
@@ -0,0 +1,161 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.1644398766700925,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 100,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.008221993833504625,
|
| 13 |
+
"grad_norm": 1.0209685564041138,
|
| 14 |
+
"learning_rate": 4.999907296225947e-05,
|
| 15 |
+
"loss": 1.1323,
|
| 16 |
+
"step": 5
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.01644398766700925,
|
| 20 |
+
"grad_norm": 1.084985375404358,
|
| 21 |
+
"learning_rate": 4.9996291917789814e-05,
|
| 22 |
+
"loss": 1.043,
|
| 23 |
+
"step": 10
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.024665981500513873,
|
| 27 |
+
"grad_norm": 1.1630356311798096,
|
| 28 |
+
"learning_rate": 4.999165707284169e-05,
|
| 29 |
+
"loss": 1.0403,
|
| 30 |
+
"step": 15
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0328879753340185,
|
| 34 |
+
"grad_norm": 0.9428950548171997,
|
| 35 |
+
"learning_rate": 4.998516877114917e-05,
|
| 36 |
+
"loss": 0.7908,
|
| 37 |
+
"step": 20
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.041109969167523124,
|
| 41 |
+
"grad_norm": 0.8565282225608826,
|
| 42 |
+
"learning_rate": 4.9976827493904315e-05,
|
| 43 |
+
"loss": 0.8942,
|
| 44 |
+
"step": 25
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.04933196300102775,
|
| 48 |
+
"grad_norm": 0.9475494623184204,
|
| 49 |
+
"learning_rate": 4.996882074080329e-05,
|
| 50 |
+
"loss": 1.3336,
|
| 51 |
+
"step": 30
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.05755395683453238,
|
| 55 |
+
"grad_norm": 3.55914044380188,
|
| 56 |
+
"learning_rate": 4.9957145758791006e-05,
|
| 57 |
+
"loss": 0.7717,
|
| 58 |
+
"step": 35
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.065775950668037,
|
| 62 |
+
"grad_norm": 0.6254042983055115,
|
| 63 |
+
"learning_rate": 4.9943619879497585e-05,
|
| 64 |
+
"loss": 0.7791,
|
| 65 |
+
"step": 40
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.07399794450154162,
|
| 69 |
+
"grad_norm": 1.1033686399459839,
|
| 70 |
+
"learning_rate": 4.992824410604308e-05,
|
| 71 |
+
"loss": 0.816,
|
| 72 |
+
"step": 45
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.08221993833504625,
|
| 76 |
+
"grad_norm": 0.6939295530319214,
|
| 77 |
+
"learning_rate": 4.991101957874126e-05,
|
| 78 |
+
"loss": 0.8761,
|
| 79 |
+
"step": 50
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.09044193216855087,
|
| 83 |
+
"grad_norm": 0.957773745059967,
|
| 84 |
+
"learning_rate": 4.98919475750151e-05,
|
| 85 |
+
"loss": 0.8573,
|
| 86 |
+
"step": 55
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.0986639260020555,
|
| 90 |
+
"grad_norm": 0.6181407570838928,
|
| 91 |
+
"learning_rate": 4.987102950930195e-05,
|
| 92 |
+
"loss": 0.8158,
|
| 93 |
+
"step": 60
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.10688591983556012,
|
| 97 |
+
"grad_norm": 0.6531780362129211,
|
| 98 |
+
"learning_rate": 4.984826693294874e-05,
|
| 99 |
+
"loss": 0.8796,
|
| 100 |
+
"step": 65
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.11510791366906475,
|
| 104 |
+
"grad_norm": 1.6238263845443726,
|
| 105 |
+
"learning_rate": 4.982366153409685e-05,
|
| 106 |
+
"loss": 0.7839,
|
| 107 |
+
"step": 70
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.12332990750256938,
|
| 111 |
+
"grad_norm": 18.583261489868164,
|
| 112 |
+
"learning_rate": 4.979721513755695e-05,
|
| 113 |
+
"loss": 1.1142,
|
| 114 |
+
"step": 75
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.131551901336074,
|
| 118 |
+
"grad_norm": 0.7723462581634521,
|
| 119 |
+
"learning_rate": 4.9768929704673654e-05,
|
| 120 |
+
"loss": 0.8193,
|
| 121 |
+
"step": 80
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.1397738951695786,
|
| 125 |
+
"grad_norm": 0.7994495630264282,
|
| 126 |
+
"learning_rate": 4.973880733318007e-05,
|
| 127 |
+
"loss": 0.9853,
|
| 128 |
+
"step": 85
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.14799588900308325,
|
| 132 |
+
"grad_norm": 0.5460528135299683,
|
| 133 |
+
"learning_rate": 4.970685025704222e-05,
|
| 134 |
+
"loss": 0.861,
|
| 135 |
+
"step": 90
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.15621788283658788,
|
| 139 |
+
"grad_norm": 1.0410531759262085,
|
| 140 |
+
"learning_rate": 4.9673060846293326e-05,
|
| 141 |
+
"loss": 0.8044,
|
| 142 |
+
"step": 95
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.1644398766700925,
|
| 146 |
+
"grad_norm": 0.7643013000488281,
|
| 147 |
+
"learning_rate": 4.963744160685815e-05,
|
| 148 |
+
"loss": 0.9048,
|
| 149 |
+
"step": 100
|
| 150 |
+
}
|
| 151 |
+
],
|
| 152 |
+
"logging_steps": 5,
|
| 153 |
+
"max_steps": 1824,
|
| 154 |
+
"num_input_tokens_seen": 0,
|
| 155 |
+
"num_train_epochs": 3,
|
| 156 |
+
"save_steps": 100,
|
| 157 |
+
"total_flos": 4.729603122757632e+16,
|
| 158 |
+
"train_batch_size": 1,
|
| 159 |
+
"trial_name": null,
|
| 160 |
+
"trial_params": null
|
| 161 |
+
}
|
checkpoint-100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7da40bedcaa97ca5797127d487348c4b521b16e2df25cfedbca83617e93b2e68
|
| 3 |
+
size 5176
|
checkpoint-1000/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.0
|
checkpoint-1000/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
checkpoint-1000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:526e7c73d46e4c8056a991463f480152d1051a1be31353f7c1f6910c3a16e70a
|
| 3 |
+
size 13648432
|
checkpoint-1000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2fb0323cc52adbadd2b32841e72d8cd9e38e4f517a3d05779525ba2cabaef60
|
| 3 |
+
size 27370618
|
checkpoint-1000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ff264f99d31b522cc7e2a4eac9d38606d0c58a34c0adc74d71e0ca8b371dc36
|
| 3 |
+
size 14244
|
checkpoint-1000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f0bd0e79228d199d5b8cfd33e7164faa5bba3fff97dde6edd5afe317c8fb7081
|
| 3 |
+
size 1064
|
checkpoint-1000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-1000/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1000/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
checkpoint-1000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
},
|
| 30 |
+
"additional_special_tokens": [],
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{{ '<s>' + system_message }}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ ' [INST] ' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
+
"legacy": true,
|
| 36 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 37 |
+
"pad_token": "</s>",
|
| 38 |
+
"padding_side": "right",
|
| 39 |
+
"sp_model_kwargs": {},
|
| 40 |
+
"spaces_between_special_tokens": false,
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 43 |
+
"unk_token": "<unk>",
|
| 44 |
+
"use_default_system_prompt": false
|
| 45 |
+
}
|
checkpoint-1000/trainer_state.json
ADDED
|
@@ -0,0 +1,1421 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.644398766700925,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.008221993833504625,
|
| 13 |
+
"grad_norm": 1.0209685564041138,
|
| 14 |
+
"learning_rate": 4.999907296225947e-05,
|
| 15 |
+
"loss": 1.1323,
|
| 16 |
+
"step": 5
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.01644398766700925,
|
| 20 |
+
"grad_norm": 1.084985375404358,
|
| 21 |
+
"learning_rate": 4.9996291917789814e-05,
|
| 22 |
+
"loss": 1.043,
|
| 23 |
+
"step": 10
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.024665981500513873,
|
| 27 |
+
"grad_norm": 1.1630356311798096,
|
| 28 |
+
"learning_rate": 4.999165707284169e-05,
|
| 29 |
+
"loss": 1.0403,
|
| 30 |
+
"step": 15
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0328879753340185,
|
| 34 |
+
"grad_norm": 0.9428950548171997,
|
| 35 |
+
"learning_rate": 4.998516877114917e-05,
|
| 36 |
+
"loss": 0.7908,
|
| 37 |
+
"step": 20
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.041109969167523124,
|
| 41 |
+
"grad_norm": 0.8565282225608826,
|
| 42 |
+
"learning_rate": 4.9976827493904315e-05,
|
| 43 |
+
"loss": 0.8942,
|
| 44 |
+
"step": 25
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.04933196300102775,
|
| 48 |
+
"grad_norm": 0.9475494623184204,
|
| 49 |
+
"learning_rate": 4.996882074080329e-05,
|
| 50 |
+
"loss": 1.3336,
|
| 51 |
+
"step": 30
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.05755395683453238,
|
| 55 |
+
"grad_norm": 3.55914044380188,
|
| 56 |
+
"learning_rate": 4.9957145758791006e-05,
|
| 57 |
+
"loss": 0.7717,
|
| 58 |
+
"step": 35
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.065775950668037,
|
| 62 |
+
"grad_norm": 0.6254042983055115,
|
| 63 |
+
"learning_rate": 4.9943619879497585e-05,
|
| 64 |
+
"loss": 0.7791,
|
| 65 |
+
"step": 40
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.07399794450154162,
|
| 69 |
+
"grad_norm": 1.1033686399459839,
|
| 70 |
+
"learning_rate": 4.992824410604308e-05,
|
| 71 |
+
"loss": 0.816,
|
| 72 |
+
"step": 45
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.08221993833504625,
|
| 76 |
+
"grad_norm": 0.6939295530319214,
|
| 77 |
+
"learning_rate": 4.991101957874126e-05,
|
| 78 |
+
"loss": 0.8761,
|
| 79 |
+
"step": 50
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.09044193216855087,
|
| 83 |
+
"grad_norm": 0.957773745059967,
|
| 84 |
+
"learning_rate": 4.98919475750151e-05,
|
| 85 |
+
"loss": 0.8573,
|
| 86 |
+
"step": 55
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.0986639260020555,
|
| 90 |
+
"grad_norm": 0.6181407570838928,
|
| 91 |
+
"learning_rate": 4.987102950930195e-05,
|
| 92 |
+
"loss": 0.8158,
|
| 93 |
+
"step": 60
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.10688591983556012,
|
| 97 |
+
"grad_norm": 0.6531780362129211,
|
| 98 |
+
"learning_rate": 4.984826693294874e-05,
|
| 99 |
+
"loss": 0.8796,
|
| 100 |
+
"step": 65
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.11510791366906475,
|
| 104 |
+
"grad_norm": 1.6238263845443726,
|
| 105 |
+
"learning_rate": 4.982366153409685e-05,
|
| 106 |
+
"loss": 0.7839,
|
| 107 |
+
"step": 70
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.12332990750256938,
|
| 111 |
+
"grad_norm": 18.583261489868164,
|
| 112 |
+
"learning_rate": 4.979721513755695e-05,
|
| 113 |
+
"loss": 1.1142,
|
| 114 |
+
"step": 75
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.131551901336074,
|
| 118 |
+
"grad_norm": 0.7723462581634521,
|
| 119 |
+
"learning_rate": 4.9768929704673654e-05,
|
| 120 |
+
"loss": 0.8193,
|
| 121 |
+
"step": 80
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.1397738951695786,
|
| 125 |
+
"grad_norm": 0.7994495630264282,
|
| 126 |
+
"learning_rate": 4.973880733318007e-05,
|
| 127 |
+
"loss": 0.9853,
|
| 128 |
+
"step": 85
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.14799588900308325,
|
| 132 |
+
"grad_norm": 0.5460528135299683,
|
| 133 |
+
"learning_rate": 4.970685025704222e-05,
|
| 134 |
+
"loss": 0.861,
|
| 135 |
+
"step": 90
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.15621788283658788,
|
| 139 |
+
"grad_norm": 1.0410531759262085,
|
| 140 |
+
"learning_rate": 4.9673060846293326e-05,
|
| 141 |
+
"loss": 0.8044,
|
| 142 |
+
"step": 95
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.1644398766700925,
|
| 146 |
+
"grad_norm": 0.7643013000488281,
|
| 147 |
+
"learning_rate": 4.963744160685815e-05,
|
| 148 |
+
"loss": 0.9048,
|
| 149 |
+
"step": 100
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.17266187050359713,
|
| 153 |
+
"grad_norm": 0.9957767724990845,
|
| 154 |
+
"learning_rate": 4.9599995180367e-05,
|
| 155 |
+
"loss": 0.8768,
|
| 156 |
+
"step": 105
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.18088386433710174,
|
| 160 |
+
"grad_norm": 0.5331000685691833,
|
| 161 |
+
"learning_rate": 4.956072434395994e-05,
|
| 162 |
+
"loss": 0.7871,
|
| 163 |
+
"step": 110
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.18910585817060638,
|
| 167 |
+
"grad_norm": 0.6342468857765198,
|
| 168 |
+
"learning_rate": 4.951963201008076e-05,
|
| 169 |
+
"loss": 0.9122,
|
| 170 |
+
"step": 115
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.197327852004111,
|
| 174 |
+
"grad_norm": 0.703365683555603,
|
| 175 |
+
"learning_rate": 4.947672122626101e-05,
|
| 176 |
+
"loss": 0.7379,
|
| 177 |
+
"step": 120
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.20554984583761562,
|
| 181 |
+
"grad_norm": 0.7069611549377441,
|
| 182 |
+
"learning_rate": 4.9431995174893984e-05,
|
| 183 |
+
"loss": 0.8529,
|
| 184 |
+
"step": 125
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.21377183967112023,
|
| 188 |
+
"grad_norm": 0.7649345993995667,
|
| 189 |
+
"learning_rate": 4.938545717299867e-05,
|
| 190 |
+
"loss": 0.8618,
|
| 191 |
+
"step": 130
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.22199383350462487,
|
| 195 |
+
"grad_norm": 0.53890061378479,
|
| 196 |
+
"learning_rate": 4.9337110671973815e-05,
|
| 197 |
+
"loss": 0.8235,
|
| 198 |
+
"step": 135
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.2302158273381295,
|
| 202 |
+
"grad_norm": 1.6072089672088623,
|
| 203 |
+
"learning_rate": 4.928695925734191e-05,
|
| 204 |
+
"loss": 0.8145,
|
| 205 |
+
"step": 140
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.23843782117163412,
|
| 209 |
+
"grad_norm": 1.1523021459579468,
|
| 210 |
+
"learning_rate": 4.923500664848326e-05,
|
| 211 |
+
"loss": 1.1315,
|
| 212 |
+
"step": 145
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.24665981500513876,
|
| 216 |
+
"grad_norm": 0.9310020804405212,
|
| 217 |
+
"learning_rate": 4.9181256698360216e-05,
|
| 218 |
+
"loss": 0.9059,
|
| 219 |
+
"step": 150
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.25488180883864336,
|
| 223 |
+
"grad_norm": 1.087494134902954,
|
| 224 |
+
"learning_rate": 4.912571339323135e-05,
|
| 225 |
+
"loss": 0.8613,
|
| 226 |
+
"step": 155
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.263103802672148,
|
| 230 |
+
"grad_norm": 0.9017001986503601,
|
| 231 |
+
"learning_rate": 4.906838085235588e-05,
|
| 232 |
+
"loss": 0.8456,
|
| 233 |
+
"step": 160
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.27132579650565264,
|
| 237 |
+
"grad_norm": 0.6858020424842834,
|
| 238 |
+
"learning_rate": 4.900926332768814e-05,
|
| 239 |
+
"loss": 0.697,
|
| 240 |
+
"step": 165
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.2795477903391572,
|
| 244 |
+
"grad_norm": 0.9164858460426331,
|
| 245 |
+
"learning_rate": 4.894836520356223e-05,
|
| 246 |
+
"loss": 0.8006,
|
| 247 |
+
"step": 170
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.28776978417266186,
|
| 251 |
+
"grad_norm": 0.6167294979095459,
|
| 252 |
+
"learning_rate": 4.888569099636692e-05,
|
| 253 |
+
"loss": 0.7694,
|
| 254 |
+
"step": 175
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.2959917780061665,
|
| 258 |
+
"grad_norm": 0.7028630375862122,
|
| 259 |
+
"learning_rate": 4.882124535421064e-05,
|
| 260 |
+
"loss": 0.7581,
|
| 261 |
+
"step": 180
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.30421377183967113,
|
| 265 |
+
"grad_norm": 0.774492084980011,
|
| 266 |
+
"learning_rate": 4.875503305657678e-05,
|
| 267 |
+
"loss": 0.9007,
|
| 268 |
+
"step": 185
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.31243576567317577,
|
| 272 |
+
"grad_norm": 0.6041566729545593,
|
| 273 |
+
"learning_rate": 4.868705901396926e-05,
|
| 274 |
+
"loss": 0.821,
|
| 275 |
+
"step": 190
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.32065775950668035,
|
| 279 |
+
"grad_norm": 0.6822388768196106,
|
| 280 |
+
"learning_rate": 4.86173282675483e-05,
|
| 281 |
+
"loss": 0.7113,
|
| 282 |
+
"step": 195
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.328879753340185,
|
| 286 |
+
"grad_norm": 0.5451642870903015,
|
| 287 |
+
"learning_rate": 4.854584598875659e-05,
|
| 288 |
+
"loss": 0.7905,
|
| 289 |
+
"step": 200
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.3371017471736896,
|
| 293 |
+
"grad_norm": 0.694070041179657,
|
| 294 |
+
"learning_rate": 4.8472617478935746e-05,
|
| 295 |
+
"loss": 0.7346,
|
| 296 |
+
"step": 205
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.34532374100719426,
|
| 300 |
+
"grad_norm": 0.715756356716156,
|
| 301 |
+
"learning_rate": 4.839764816893315e-05,
|
| 302 |
+
"loss": 0.864,
|
| 303 |
+
"step": 210
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.35354573484069884,
|
| 307 |
+
"grad_norm": 0.777726411819458,
|
| 308 |
+
"learning_rate": 4.8320943618699175e-05,
|
| 309 |
+
"loss": 0.7845,
|
| 310 |
+
"step": 215
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.3617677286742035,
|
| 314 |
+
"grad_norm": 0.5659850835800171,
|
| 315 |
+
"learning_rate": 4.8242509516874875e-05,
|
| 316 |
+
"loss": 0.7677,
|
| 317 |
+
"step": 220
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.3699897225077081,
|
| 321 |
+
"grad_norm": 0.9791976809501648,
|
| 322 |
+
"learning_rate": 4.8162351680370044e-05,
|
| 323 |
+
"loss": 0.8872,
|
| 324 |
+
"step": 225
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.37821171634121276,
|
| 328 |
+
"grad_norm": 0.781254231929779,
|
| 329 |
+
"learning_rate": 4.808047605393186e-05,
|
| 330 |
+
"loss": 0.8123,
|
| 331 |
+
"step": 230
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.3864337101747174,
|
| 335 |
+
"grad_norm": 0.6411670446395874,
|
| 336 |
+
"learning_rate": 4.799688870970396e-05,
|
| 337 |
+
"loss": 0.758,
|
| 338 |
+
"step": 235
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.394655704008222,
|
| 342 |
+
"grad_norm": 0.6815776824951172,
|
| 343 |
+
"learning_rate": 4.791159584677618e-05,
|
| 344 |
+
"loss": 0.8342,
|
| 345 |
+
"step": 240
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.4028776978417266,
|
| 349 |
+
"grad_norm": 0.8110681176185608,
|
| 350 |
+
"learning_rate": 4.7824603790724756e-05,
|
| 351 |
+
"loss": 0.8678,
|
| 352 |
+
"step": 245
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.41109969167523125,
|
| 356 |
+
"grad_norm": 0.8205195665359497,
|
| 357 |
+
"learning_rate": 4.7735918993143204e-05,
|
| 358 |
+
"loss": 0.841,
|
| 359 |
+
"step": 250
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.4193216855087359,
|
| 363 |
+
"grad_norm": 0.6616660952568054,
|
| 364 |
+
"learning_rate": 4.7645548031163875e-05,
|
| 365 |
+
"loss": 0.7849,
|
| 366 |
+
"step": 255
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.42754367934224047,
|
| 370 |
+
"grad_norm": 1.2129219770431519,
|
| 371 |
+
"learning_rate": 4.755349760697018e-05,
|
| 372 |
+
"loss": 0.834,
|
| 373 |
+
"step": 260
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.4357656731757451,
|
| 377 |
+
"grad_norm": 3.43440580368042,
|
| 378 |
+
"learning_rate": 4.7459774547299475e-05,
|
| 379 |
+
"loss": 0.8394,
|
| 380 |
+
"step": 265
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.44398766700924974,
|
| 384 |
+
"grad_norm": 0.5488320589065552,
|
| 385 |
+
"learning_rate": 4.736438580293685e-05,
|
| 386 |
+
"loss": 0.9777,
|
| 387 |
+
"step": 270
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.4522096608427544,
|
| 391 |
+
"grad_norm": 0.7190982699394226,
|
| 392 |
+
"learning_rate": 4.726733844819958e-05,
|
| 393 |
+
"loss": 0.7637,
|
| 394 |
+
"step": 275
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.460431654676259,
|
| 398 |
+
"grad_norm": 1.037620186805725,
|
| 399 |
+
"learning_rate": 4.716863968041252e-05,
|
| 400 |
+
"loss": 0.8678,
|
| 401 |
+
"step": 280
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.4686536485097636,
|
| 405 |
+
"grad_norm": 0.9103302955627441,
|
| 406 |
+
"learning_rate": 4.7068296819374266e-05,
|
| 407 |
+
"loss": 0.7724,
|
| 408 |
+
"step": 285
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.47687564234326824,
|
| 412 |
+
"grad_norm": 0.9514378905296326,
|
| 413 |
+
"learning_rate": 4.6966317306814366e-05,
|
| 414 |
+
"loss": 0.8527,
|
| 415 |
+
"step": 290
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.4850976361767729,
|
| 419 |
+
"grad_norm": 1.0511500835418701,
|
| 420 |
+
"learning_rate": 4.686270870584136e-05,
|
| 421 |
+
"loss": 0.7902,
|
| 422 |
+
"step": 295
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.4933196300102775,
|
| 426 |
+
"grad_norm": 0.8145704865455627,
|
| 427 |
+
"learning_rate": 4.675747870038192e-05,
|
| 428 |
+
"loss": 0.8946,
|
| 429 |
+
"step": 300
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.5015416238437821,
|
| 433 |
+
"grad_norm": 1.0371451377868652,
|
| 434 |
+
"learning_rate": 4.665063509461097e-05,
|
| 435 |
+
"loss": 0.8673,
|
| 436 |
+
"step": 305
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.5097636176772867,
|
| 440 |
+
"grad_norm": 0.6650281548500061,
|
| 441 |
+
"learning_rate": 4.6542185812372896e-05,
|
| 442 |
+
"loss": 0.7537,
|
| 443 |
+
"step": 310
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.5179856115107914,
|
| 447 |
+
"grad_norm": 0.6645053029060364,
|
| 448 |
+
"learning_rate": 4.6432138896593905e-05,
|
| 449 |
+
"loss": 0.849,
|
| 450 |
+
"step": 315
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.526207605344296,
|
| 454 |
+
"grad_norm": 0.6810983419418335,
|
| 455 |
+
"learning_rate": 4.6320502508685525e-05,
|
| 456 |
+
"loss": 0.8381,
|
| 457 |
+
"step": 320
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.5344295991778006,
|
| 461 |
+
"grad_norm": 0.6818865537643433,
|
| 462 |
+
"learning_rate": 4.620728492793934e-05,
|
| 463 |
+
"loss": 0.7549,
|
| 464 |
+
"step": 325
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.5426515930113053,
|
| 468 |
+
"grad_norm": 0.6401437520980835,
|
| 469 |
+
"learning_rate": 4.609249455091299e-05,
|
| 470 |
+
"loss": 0.7997,
|
| 471 |
+
"step": 330
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.5508735868448099,
|
| 475 |
+
"grad_norm": 0.9009031057357788,
|
| 476 |
+
"learning_rate": 4.597613989080739e-05,
|
| 477 |
+
"loss": 0.7419,
|
| 478 |
+
"step": 335
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.5590955806783144,
|
| 482 |
+
"grad_norm": 0.7448415756225586,
|
| 483 |
+
"learning_rate": 4.585822957683544e-05,
|
| 484 |
+
"loss": 0.8626,
|
| 485 |
+
"step": 340
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.5673175745118191,
|
| 489 |
+
"grad_norm": 0.7883594036102295,
|
| 490 |
+
"learning_rate": 4.573877235358204e-05,
|
| 491 |
+
"loss": 0.8378,
|
| 492 |
+
"step": 345
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.5755395683453237,
|
| 496 |
+
"grad_norm": 0.7353366613388062,
|
| 497 |
+
"learning_rate": 4.5617777080355515e-05,
|
| 498 |
+
"loss": 0.7941,
|
| 499 |
+
"step": 350
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.5837615621788284,
|
| 503 |
+
"grad_norm": 0.6732987761497498,
|
| 504 |
+
"learning_rate": 4.549525273053067e-05,
|
| 505 |
+
"loss": 0.7599,
|
| 506 |
+
"step": 355
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.591983556012333,
|
| 510 |
+
"grad_norm": 0.7016430497169495,
|
| 511 |
+
"learning_rate": 4.5371208390883186e-05,
|
| 512 |
+
"loss": 0.7602,
|
| 513 |
+
"step": 360
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.6002055498458376,
|
| 517 |
+
"grad_norm": 0.765799880027771,
|
| 518 |
+
"learning_rate": 4.524565326091583e-05,
|
| 519 |
+
"loss": 0.8385,
|
| 520 |
+
"step": 365
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.6084275436793423,
|
| 524 |
+
"grad_norm": 0.7388527989387512,
|
| 525 |
+
"learning_rate": 4.5118596652176116e-05,
|
| 526 |
+
"loss": 0.8099,
|
| 527 |
+
"step": 370
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.6166495375128469,
|
| 531 |
+
"grad_norm": 0.6414201259613037,
|
| 532 |
+
"learning_rate": 4.499004798756577e-05,
|
| 533 |
+
"loss": 0.875,
|
| 534 |
+
"step": 375
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.6248715313463515,
|
| 538 |
+
"grad_norm": 0.6936383843421936,
|
| 539 |
+
"learning_rate": 4.486001680064187e-05,
|
| 540 |
+
"loss": 0.7498,
|
| 541 |
+
"step": 380
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.6330935251798561,
|
| 545 |
+
"grad_norm": 8.751770973205566,
|
| 546 |
+
"learning_rate": 4.4728512734909844e-05,
|
| 547 |
+
"loss": 0.8769,
|
| 548 |
+
"step": 385
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.6413155190133607,
|
| 552 |
+
"grad_norm": 0.9969173073768616,
|
| 553 |
+
"learning_rate": 4.4595545543108235e-05,
|
| 554 |
+
"loss": 0.9605,
|
| 555 |
+
"step": 390
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.6495375128468653,
|
| 559 |
+
"grad_norm": 0.6103174090385437,
|
| 560 |
+
"learning_rate": 4.446112508648546e-05,
|
| 561 |
+
"loss": 0.9421,
|
| 562 |
+
"step": 395
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.65775950668037,
|
| 566 |
+
"grad_norm": 0.5853813290596008,
|
| 567 |
+
"learning_rate": 4.4325261334068426e-05,
|
| 568 |
+
"loss": 0.7232,
|
| 569 |
+
"step": 400
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.6659815005138746,
|
| 573 |
+
"grad_norm": 0.6471512913703918,
|
| 574 |
+
"learning_rate": 4.418796436192322e-05,
|
| 575 |
+
"loss": 0.8164,
|
| 576 |
+
"step": 405
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.6742034943473793,
|
| 580 |
+
"grad_norm": 0.6468719244003296,
|
| 581 |
+
"learning_rate": 4.404924435240781e-05,
|
| 582 |
+
"loss": 0.8688,
|
| 583 |
+
"step": 410
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.6824254881808839,
|
| 587 |
+
"grad_norm": 2.313459873199463,
|
| 588 |
+
"learning_rate": 4.390911159341697e-05,
|
| 589 |
+
"loss": 0.771,
|
| 590 |
+
"step": 415
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.6906474820143885,
|
| 594 |
+
"grad_norm": 0.9390446543693542,
|
| 595 |
+
"learning_rate": 4.3767576477619163e-05,
|
| 596 |
+
"loss": 0.7608,
|
| 597 |
+
"step": 420
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.6988694758478932,
|
| 601 |
+
"grad_norm": 0.7414926886558533,
|
| 602 |
+
"learning_rate": 4.362464950168593e-05,
|
| 603 |
+
"loss": 0.8851,
|
| 604 |
+
"step": 425
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.7070914696813977,
|
| 608 |
+
"grad_norm": 4.740745544433594,
|
| 609 |
+
"learning_rate": 4.348034126551332e-05,
|
| 610 |
+
"loss": 0.9257,
|
| 611 |
+
"step": 430
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.7153134635149023,
|
| 615 |
+
"grad_norm": 0.7543152570724487,
|
| 616 |
+
"learning_rate": 4.3334662471435844e-05,
|
| 617 |
+
"loss": 0.7974,
|
| 618 |
+
"step": 435
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.723535457348407,
|
| 622 |
+
"grad_norm": 0.811599850654602,
|
| 623 |
+
"learning_rate": 4.31876239234327e-05,
|
| 624 |
+
"loss": 0.7989,
|
| 625 |
+
"step": 440
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.7317574511819116,
|
| 629 |
+
"grad_norm": 0.8794097900390625,
|
| 630 |
+
"learning_rate": 4.303923652632655e-05,
|
| 631 |
+
"loss": 0.7349,
|
| 632 |
+
"step": 445
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.7399794450154162,
|
| 636 |
+
"grad_norm": 0.7543870806694031,
|
| 637 |
+
"learning_rate": 4.28895112849748e-05,
|
| 638 |
+
"loss": 0.7606,
|
| 639 |
+
"step": 450
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.7482014388489209,
|
| 643 |
+
"grad_norm": 0.704965353012085,
|
| 644 |
+
"learning_rate": 4.273845930345339e-05,
|
| 645 |
+
"loss": 0.7725,
|
| 646 |
+
"step": 455
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.7564234326824255,
|
| 650 |
+
"grad_norm": 1.0041465759277344,
|
| 651 |
+
"learning_rate": 4.2586091784233326e-05,
|
| 652 |
+
"loss": 0.7289,
|
| 653 |
+
"step": 460
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.7646454265159301,
|
| 657 |
+
"grad_norm": 0.9165995717048645,
|
| 658 |
+
"learning_rate": 4.2432420027349886e-05,
|
| 659 |
+
"loss": 0.8736,
|
| 660 |
+
"step": 465
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.7728674203494348,
|
| 664 |
+
"grad_norm": 0.7650847434997559,
|
| 665 |
+
"learning_rate": 4.227745542956452e-05,
|
| 666 |
+
"loss": 0.7891,
|
| 667 |
+
"step": 470
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.7810894141829393,
|
| 671 |
+
"grad_norm": 0.8251364231109619,
|
| 672 |
+
"learning_rate": 4.212120948351968e-05,
|
| 673 |
+
"loss": 0.743,
|
| 674 |
+
"step": 475
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.789311408016444,
|
| 678 |
+
"grad_norm": 1.5619304180145264,
|
| 679 |
+
"learning_rate": 4.196369377688646e-05,
|
| 680 |
+
"loss": 0.8561,
|
| 681 |
+
"step": 480
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.7975334018499486,
|
| 685 |
+
"grad_norm": 0.6772528886795044,
|
| 686 |
+
"learning_rate": 4.180491999150527e-05,
|
| 687 |
+
"loss": 0.7763,
|
| 688 |
+
"step": 485
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.8057553956834532,
|
| 692 |
+
"grad_norm": 0.7238550782203674,
|
| 693 |
+
"learning_rate": 4.164489990251937e-05,
|
| 694 |
+
"loss": 0.7988,
|
| 695 |
+
"step": 490
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.8139773895169579,
|
| 699 |
+
"grad_norm": 0.9421666264533997,
|
| 700 |
+
"learning_rate": 4.148364537750172e-05,
|
| 701 |
+
"loss": 0.9225,
|
| 702 |
+
"step": 495
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.8221993833504625,
|
| 706 |
+
"grad_norm": 0.9528664350509644,
|
| 707 |
+
"learning_rate": 4.132116837557477e-05,
|
| 708 |
+
"loss": 0.8358,
|
| 709 |
+
"step": 500
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.8304213771839671,
|
| 713 |
+
"grad_norm": 0.7147894501686096,
|
| 714 |
+
"learning_rate": 4.115748094652352e-05,
|
| 715 |
+
"loss": 0.8278,
|
| 716 |
+
"step": 505
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.8386433710174718,
|
| 720 |
+
"grad_norm": 0.7133510112762451,
|
| 721 |
+
"learning_rate": 4.0992595229901944e-05,
|
| 722 |
+
"loss": 0.8236,
|
| 723 |
+
"step": 510
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.8468653648509764,
|
| 727 |
+
"grad_norm": 1.1197230815887451,
|
| 728 |
+
"learning_rate": 4.082652345413259e-05,
|
| 729 |
+
"loss": 0.7465,
|
| 730 |
+
"step": 515
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.8550873586844809,
|
| 734 |
+
"grad_norm": 0.7799179553985596,
|
| 735 |
+
"learning_rate": 4.0659277935599785e-05,
|
| 736 |
+
"loss": 0.8194,
|
| 737 |
+
"step": 520
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.8633093525179856,
|
| 741 |
+
"grad_norm": 0.8654146790504456,
|
| 742 |
+
"learning_rate": 4.049087107773612e-05,
|
| 743 |
+
"loss": 0.7754,
|
| 744 |
+
"step": 525
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.8715313463514902,
|
| 748 |
+
"grad_norm": 1.5001493692398071,
|
| 749 |
+
"learning_rate": 4.032131537010264e-05,
|
| 750 |
+
"loss": 0.7589,
|
| 751 |
+
"step": 530
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.8797533401849948,
|
| 755 |
+
"grad_norm": 1.256003737449646,
|
| 756 |
+
"learning_rate": 4.015062338746256e-05,
|
| 757 |
+
"loss": 0.8673,
|
| 758 |
+
"step": 535
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.8879753340184995,
|
| 762 |
+
"grad_norm": 0.9992612600326538,
|
| 763 |
+
"learning_rate": 3.997880778884866e-05,
|
| 764 |
+
"loss": 0.6732,
|
| 765 |
+
"step": 540
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.8961973278520041,
|
| 769 |
+
"grad_norm": 0.6338282227516174,
|
| 770 |
+
"learning_rate": 3.9805881316624506e-05,
|
| 771 |
+
"loss": 0.7108,
|
| 772 |
+
"step": 545
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.9044193216855088,
|
| 776 |
+
"grad_norm": 0.6869713664054871,
|
| 777 |
+
"learning_rate": 3.963185679553936e-05,
|
| 778 |
+
"loss": 0.8243,
|
| 779 |
+
"step": 550
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.9126413155190134,
|
| 783 |
+
"grad_norm": 1.1732268333435059,
|
| 784 |
+
"learning_rate": 3.945674713177715e-05,
|
| 785 |
+
"loss": 0.81,
|
| 786 |
+
"step": 555
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.920863309352518,
|
| 790 |
+
"grad_norm": 0.8158470988273621,
|
| 791 |
+
"learning_rate": 3.928056531199922e-05,
|
| 792 |
+
"loss": 0.7879,
|
| 793 |
+
"step": 560
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.9290853031860226,
|
| 797 |
+
"grad_norm": 0.6695348620414734,
|
| 798 |
+
"learning_rate": 3.910332440238128e-05,
|
| 799 |
+
"loss": 0.7525,
|
| 800 |
+
"step": 565
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.9373072970195272,
|
| 804 |
+
"grad_norm": 0.7612968683242798,
|
| 805 |
+
"learning_rate": 3.8925037547644306e-05,
|
| 806 |
+
"loss": 0.7921,
|
| 807 |
+
"step": 570
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.9455292908530318,
|
| 811 |
+
"grad_norm": 0.6554402709007263,
|
| 812 |
+
"learning_rate": 3.874571797007974e-05,
|
| 813 |
+
"loss": 0.7676,
|
| 814 |
+
"step": 575
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.9537512846865365,
|
| 818 |
+
"grad_norm": 0.6809045076370239,
|
| 819 |
+
"learning_rate": 3.856537896856887e-05,
|
| 820 |
+
"loss": 0.7712,
|
| 821 |
+
"step": 580
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.9619732785200411,
|
| 825 |
+
"grad_norm": 0.6195858120918274,
|
| 826 |
+
"learning_rate": 3.838403391759652e-05,
|
| 827 |
+
"loss": 0.8727,
|
| 828 |
+
"step": 585
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.9701952723535457,
|
| 832 |
+
"grad_norm": 0.5144709944725037,
|
| 833 |
+
"learning_rate": 3.82016962662592e-05,
|
| 834 |
+
"loss": 0.7533,
|
| 835 |
+
"step": 590
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.9784172661870504,
|
| 839 |
+
"grad_norm": 0.6085109710693359,
|
| 840 |
+
"learning_rate": 3.801837953726767e-05,
|
| 841 |
+
"loss": 0.8188,
|
| 842 |
+
"step": 595
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.986639260020555,
|
| 846 |
+
"grad_norm": 0.5800123810768127,
|
| 847 |
+
"learning_rate": 3.7834097325944013e-05,
|
| 848 |
+
"loss": 0.6959,
|
| 849 |
+
"step": 600
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.9948612538540597,
|
| 853 |
+
"grad_norm": 0.7396177053451538,
|
| 854 |
+
"learning_rate": 3.764886329921342e-05,
|
| 855 |
+
"loss": 0.8678,
|
| 856 |
+
"step": 605
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 1.0030832476875642,
|
| 860 |
+
"grad_norm": 0.6835121512413025,
|
| 861 |
+
"learning_rate": 3.746269119459058e-05,
|
| 862 |
+
"loss": 0.6889,
|
| 863 |
+
"step": 610
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 1.0113052415210688,
|
| 867 |
+
"grad_norm": 0.5903937220573425,
|
| 868 |
+
"learning_rate": 3.7275594819160864e-05,
|
| 869 |
+
"loss": 0.7737,
|
| 870 |
+
"step": 615
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 1.0195272353545735,
|
| 874 |
+
"grad_norm": 0.7912169098854065,
|
| 875 |
+
"learning_rate": 3.708758804855637e-05,
|
| 876 |
+
"loss": 0.8015,
|
| 877 |
+
"step": 620
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 1.027749229188078,
|
| 881 |
+
"grad_norm": 0.6999536156654358,
|
| 882 |
+
"learning_rate": 3.689868482592684e-05,
|
| 883 |
+
"loss": 0.8742,
|
| 884 |
+
"step": 625
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 1.0359712230215827,
|
| 888 |
+
"grad_norm": 0.7941098809242249,
|
| 889 |
+
"learning_rate": 3.670889916090562e-05,
|
| 890 |
+
"loss": 0.8183,
|
| 891 |
+
"step": 630
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 1.0441932168550874,
|
| 895 |
+
"grad_norm": 2.4059693813323975,
|
| 896 |
+
"learning_rate": 3.651824512857062e-05,
|
| 897 |
+
"loss": 0.7953,
|
| 898 |
+
"step": 635
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 1.052415210688592,
|
| 902 |
+
"grad_norm": 0.6197062730789185,
|
| 903 |
+
"learning_rate": 3.632673686840051e-05,
|
| 904 |
+
"loss": 0.8217,
|
| 905 |
+
"step": 640
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 1.0606372045220966,
|
| 909 |
+
"grad_norm": 0.7037258744239807,
|
| 910 |
+
"learning_rate": 3.6134388583226086e-05,
|
| 911 |
+
"loss": 0.8225,
|
| 912 |
+
"step": 645
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 1.0688591983556013,
|
| 916 |
+
"grad_norm": 0.6145721077919006,
|
| 917 |
+
"learning_rate": 3.594121453817692e-05,
|
| 918 |
+
"loss": 0.8372,
|
| 919 |
+
"step": 650
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 1.077081192189106,
|
| 923 |
+
"grad_norm": 0.864341139793396,
|
| 924 |
+
"learning_rate": 3.574722905962342e-05,
|
| 925 |
+
"loss": 0.8261,
|
| 926 |
+
"step": 655
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 1.0853031860226106,
|
| 930 |
+
"grad_norm": 0.9232112169265747,
|
| 931 |
+
"learning_rate": 3.555244653411438e-05,
|
| 932 |
+
"loss": 0.7396,
|
| 933 |
+
"step": 660
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 1.0935251798561152,
|
| 937 |
+
"grad_norm": 0.7316189408302307,
|
| 938 |
+
"learning_rate": 3.535688140730997e-05,
|
| 939 |
+
"loss": 0.7587,
|
| 940 |
+
"step": 665
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 1.1017471736896198,
|
| 944 |
+
"grad_norm": 1.003225326538086,
|
| 945 |
+
"learning_rate": 3.516054818291048e-05,
|
| 946 |
+
"loss": 0.857,
|
| 947 |
+
"step": 670
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 1.1099691675231242,
|
| 951 |
+
"grad_norm": 0.8353930711746216,
|
| 952 |
+
"learning_rate": 3.496346142158058e-05,
|
| 953 |
+
"loss": 0.8011,
|
| 954 |
+
"step": 675
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 1.1181911613566289,
|
| 958 |
+
"grad_norm": 0.6220695376396179,
|
| 959 |
+
"learning_rate": 3.4765635739869565e-05,
|
| 960 |
+
"loss": 0.9088,
|
| 961 |
+
"step": 680
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 1.1264131551901335,
|
| 965 |
+
"grad_norm": 0.889065682888031,
|
| 966 |
+
"learning_rate": 3.456708580912725e-05,
|
| 967 |
+
"loss": 0.7873,
|
| 968 |
+
"step": 685
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 1.1346351490236382,
|
| 972 |
+
"grad_norm": 0.6756345629692078,
|
| 973 |
+
"learning_rate": 3.4367826354415984e-05,
|
| 974 |
+
"loss": 0.8425,
|
| 975 |
+
"step": 690
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 1.1428571428571428,
|
| 979 |
+
"grad_norm": 1.3749688863754272,
|
| 980 |
+
"learning_rate": 3.416787215341855e-05,
|
| 981 |
+
"loss": 0.6699,
|
| 982 |
+
"step": 695
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 1.1510791366906474,
|
| 986 |
+
"grad_norm": 0.810850977897644,
|
| 987 |
+
"learning_rate": 3.3967238035342185e-05,
|
| 988 |
+
"loss": 0.8184,
|
| 989 |
+
"step": 700
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 1.159301130524152,
|
| 993 |
+
"grad_norm": 0.8415716886520386,
|
| 994 |
+
"learning_rate": 3.376593887981887e-05,
|
| 995 |
+
"loss": 0.7828,
|
| 996 |
+
"step": 705
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 1.1675231243576567,
|
| 1000 |
+
"grad_norm": 1.6610947847366333,
|
| 1001 |
+
"learning_rate": 3.356398961580172e-05,
|
| 1002 |
+
"loss": 0.9209,
|
| 1003 |
+
"step": 710
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 1.1757451181911613,
|
| 1007 |
+
"grad_norm": 0.7330360412597656,
|
| 1008 |
+
"learning_rate": 3.336140522045791e-05,
|
| 1009 |
+
"loss": 0.7977,
|
| 1010 |
+
"step": 715
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 1.183967112024666,
|
| 1014 |
+
"grad_norm": 0.9250292778015137,
|
| 1015 |
+
"learning_rate": 3.315820071805785e-05,
|
| 1016 |
+
"loss": 0.848,
|
| 1017 |
+
"step": 720
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 1.1921891058581706,
|
| 1021 |
+
"grad_norm": 0.9417344927787781,
|
| 1022 |
+
"learning_rate": 3.2954391178860954e-05,
|
| 1023 |
+
"loss": 0.7302,
|
| 1024 |
+
"step": 725
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 1.2004110996916753,
|
| 1028 |
+
"grad_norm": 1.44640052318573,
|
| 1029 |
+
"learning_rate": 3.2749991717998007e-05,
|
| 1030 |
+
"loss": 0.713,
|
| 1031 |
+
"step": 730
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 1.20863309352518,
|
| 1035 |
+
"grad_norm": 0.7730007171630859,
|
| 1036 |
+
"learning_rate": 3.254501749435015e-05,
|
| 1037 |
+
"loss": 0.7393,
|
| 1038 |
+
"step": 735
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 1.2168550873586845,
|
| 1042 |
+
"grad_norm": 0.7143975496292114,
|
| 1043 |
+
"learning_rate": 3.233948370942467e-05,
|
| 1044 |
+
"loss": 0.7619,
|
| 1045 |
+
"step": 740
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 1.2250770811921892,
|
| 1049 |
+
"grad_norm": 1.0002775192260742,
|
| 1050 |
+
"learning_rate": 3.213340560622763e-05,
|
| 1051 |
+
"loss": 0.7749,
|
| 1052 |
+
"step": 745
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 1.2332990750256938,
|
| 1056 |
+
"grad_norm": 0.9485899209976196,
|
| 1057 |
+
"learning_rate": 3.192679846813335e-05,
|
| 1058 |
+
"loss": 0.688,
|
| 1059 |
+
"step": 750
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 1.2415210688591984,
|
| 1063 |
+
"grad_norm": 1.6718777418136597,
|
| 1064 |
+
"learning_rate": 3.1719677617751006e-05,
|
| 1065 |
+
"loss": 0.8177,
|
| 1066 |
+
"step": 755
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 1.249743062692703,
|
| 1070 |
+
"grad_norm": 0.9025570750236511,
|
| 1071 |
+
"learning_rate": 3.1512058415788183e-05,
|
| 1072 |
+
"loss": 0.8364,
|
| 1073 |
+
"step": 760
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 1.2579650565262077,
|
| 1077 |
+
"grad_norm": 0.7739228010177612,
|
| 1078 |
+
"learning_rate": 3.130395625991177e-05,
|
| 1079 |
+
"loss": 0.8356,
|
| 1080 |
+
"step": 765
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 1.2661870503597124,
|
| 1084 |
+
"grad_norm": 0.8168063759803772,
|
| 1085 |
+
"learning_rate": 3.1095386583605954e-05,
|
| 1086 |
+
"loss": 0.7878,
|
| 1087 |
+
"step": 770
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 1.274409044193217,
|
| 1091 |
+
"grad_norm": 0.7470309138298035,
|
| 1092 |
+
"learning_rate": 3.088636485502764e-05,
|
| 1093 |
+
"loss": 0.8318,
|
| 1094 |
+
"step": 775
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 1.2826310380267214,
|
| 1098 |
+
"grad_norm": 0.7045716643333435,
|
| 1099 |
+
"learning_rate": 3.0676906575859334e-05,
|
| 1100 |
+
"loss": 0.7219,
|
| 1101 |
+
"step": 780
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 1.290853031860226,
|
| 1105 |
+
"grad_norm": 0.6814378499984741,
|
| 1106 |
+
"learning_rate": 3.04670272801594e-05,
|
| 1107 |
+
"loss": 0.8657,
|
| 1108 |
+
"step": 785
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 1.2990750256937307,
|
| 1112 |
+
"grad_norm": 1.2378205060958862,
|
| 1113 |
+
"learning_rate": 3.0256742533210086e-05,
|
| 1114 |
+
"loss": 0.7469,
|
| 1115 |
+
"step": 790
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 1.3072970195272353,
|
| 1119 |
+
"grad_norm": 0.9097736477851868,
|
| 1120 |
+
"learning_rate": 3.0046067930363137e-05,
|
| 1121 |
+
"loss": 0.9315,
|
| 1122 |
+
"step": 795
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 1.31551901336074,
|
| 1126 |
+
"grad_norm": 1.4382425546646118,
|
| 1127 |
+
"learning_rate": 2.983501909588317e-05,
|
| 1128 |
+
"loss": 0.8883,
|
| 1129 |
+
"step": 800
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 1.3237410071942446,
|
| 1133 |
+
"grad_norm": 1.036093831062317,
|
| 1134 |
+
"learning_rate": 2.9623611681788965e-05,
|
| 1135 |
+
"loss": 0.7888,
|
| 1136 |
+
"step": 805
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 1.3319630010277492,
|
| 1140 |
+
"grad_norm": 0.8393096327781677,
|
| 1141 |
+
"learning_rate": 2.9411861366692627e-05,
|
| 1142 |
+
"loss": 0.7262,
|
| 1143 |
+
"step": 810
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 1.3401849948612539,
|
| 1147 |
+
"grad_norm": 0.9713601469993591,
|
| 1148 |
+
"learning_rate": 2.9199783854636865e-05,
|
| 1149 |
+
"loss": 0.8034,
|
| 1150 |
+
"step": 815
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 1.3484069886947585,
|
| 1154 |
+
"grad_norm": 0.752566933631897,
|
| 1155 |
+
"learning_rate": 2.8987394873930275e-05,
|
| 1156 |
+
"loss": 0.6505,
|
| 1157 |
+
"step": 820
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 1.3566289825282631,
|
| 1161 |
+
"grad_norm": 1.0012316703796387,
|
| 1162 |
+
"learning_rate": 2.8774710175980922e-05,
|
| 1163 |
+
"loss": 0.799,
|
| 1164 |
+
"step": 825
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 1.3648509763617678,
|
| 1168 |
+
"grad_norm": 0.9846720695495605,
|
| 1169 |
+
"learning_rate": 2.856174553412816e-05,
|
| 1170 |
+
"loss": 0.8233,
|
| 1171 |
+
"step": 830
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 1.3730729701952724,
|
| 1175 |
+
"grad_norm": 0.6868287920951843,
|
| 1176 |
+
"learning_rate": 2.834851674247282e-05,
|
| 1177 |
+
"loss": 0.7477,
|
| 1178 |
+
"step": 835
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 1.381294964028777,
|
| 1182 |
+
"grad_norm": 0.701734721660614,
|
| 1183 |
+
"learning_rate": 2.813503961470587e-05,
|
| 1184 |
+
"loss": 0.7528,
|
| 1185 |
+
"step": 840
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 1.3895169578622815,
|
| 1189 |
+
"grad_norm": 0.6953380107879639,
|
| 1190 |
+
"learning_rate": 2.7921329982935646e-05,
|
| 1191 |
+
"loss": 0.8185,
|
| 1192 |
+
"step": 845
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 1.397738951695786,
|
| 1196 |
+
"grad_norm": 1.0073038339614868,
|
| 1197 |
+
"learning_rate": 2.7707403696513688e-05,
|
| 1198 |
+
"loss": 0.7114,
|
| 1199 |
+
"step": 850
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 1.4059609455292907,
|
| 1203 |
+
"grad_norm": 1.3499199151992798,
|
| 1204 |
+
"learning_rate": 2.7493276620859298e-05,
|
| 1205 |
+
"loss": 0.8409,
|
| 1206 |
+
"step": 855
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 1.4141829393627954,
|
| 1210 |
+
"grad_norm": 0.6113609671592712,
|
| 1211 |
+
"learning_rate": 2.727896463628289e-05,
|
| 1212 |
+
"loss": 0.7633,
|
| 1213 |
+
"step": 860
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 1.4224049331963,
|
| 1217 |
+
"grad_norm": 0.7573457360267639,
|
| 1218 |
+
"learning_rate": 2.7064483636808313e-05,
|
| 1219 |
+
"loss": 0.731,
|
| 1220 |
+
"step": 865
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 1.4306269270298047,
|
| 1224 |
+
"grad_norm": 0.7836306691169739,
|
| 1225 |
+
"learning_rate": 2.6849849528994053e-05,
|
| 1226 |
+
"loss": 0.8232,
|
| 1227 |
+
"step": 870
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 1.4388489208633093,
|
| 1231 |
+
"grad_norm": 0.7488899230957031,
|
| 1232 |
+
"learning_rate": 2.663507823075358e-05,
|
| 1233 |
+
"loss": 0.785,
|
| 1234 |
+
"step": 875
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 1.447070914696814,
|
| 1238 |
+
"grad_norm": 0.8522717952728271,
|
| 1239 |
+
"learning_rate": 2.642018567017482e-05,
|
| 1240 |
+
"loss": 0.6938,
|
| 1241 |
+
"step": 880
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 1.4552929085303186,
|
| 1245 |
+
"grad_norm": 1.3761483430862427,
|
| 1246 |
+
"learning_rate": 2.6205187784338874e-05,
|
| 1247 |
+
"loss": 0.7444,
|
| 1248 |
+
"step": 885
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 1.4635149023638232,
|
| 1252 |
+
"grad_norm": 0.669750988483429,
|
| 1253 |
+
"learning_rate": 2.5990100518138088e-05,
|
| 1254 |
+
"loss": 0.7938,
|
| 1255 |
+
"step": 890
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 1.4717368961973278,
|
| 1259 |
+
"grad_norm": 0.836729884147644,
|
| 1260 |
+
"learning_rate": 2.577493982309352e-05,
|
| 1261 |
+
"loss": 0.8329,
|
| 1262 |
+
"step": 895
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 1.4799588900308325,
|
| 1266 |
+
"grad_norm": 1.0972259044647217,
|
| 1267 |
+
"learning_rate": 2.555972165617194e-05,
|
| 1268 |
+
"loss": 0.8275,
|
| 1269 |
+
"step": 900
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 1.4881808838643371,
|
| 1273 |
+
"grad_norm": 1.3486735820770264,
|
| 1274 |
+
"learning_rate": 2.5344461978602413e-05,
|
| 1275 |
+
"loss": 0.8497,
|
| 1276 |
+
"step": 905
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 1.4964028776978417,
|
| 1280 |
+
"grad_norm": 0.8719611763954163,
|
| 1281 |
+
"learning_rate": 2.512917675469253e-05,
|
| 1282 |
+
"loss": 0.7744,
|
| 1283 |
+
"step": 910
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 1.5046248715313464,
|
| 1287 |
+
"grad_norm": 0.7670440077781677,
|
| 1288 |
+
"learning_rate": 2.49138819506445e-05,
|
| 1289 |
+
"loss": 0.8424,
|
| 1290 |
+
"step": 915
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 1.512846865364851,
|
| 1294 |
+
"grad_norm": 0.8988850116729736,
|
| 1295 |
+
"learning_rate": 2.4698593533371038e-05,
|
| 1296 |
+
"loss": 0.8447,
|
| 1297 |
+
"step": 920
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 1.5210688591983557,
|
| 1301 |
+
"grad_norm": 1.1595510244369507,
|
| 1302 |
+
"learning_rate": 2.4483327469311148e-05,
|
| 1303 |
+
"loss": 0.7433,
|
| 1304 |
+
"step": 925
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 1.5292908530318603,
|
| 1308 |
+
"grad_norm": 0.9172937870025635,
|
| 1309 |
+
"learning_rate": 2.4268099723246088e-05,
|
| 1310 |
+
"loss": 0.7145,
|
| 1311 |
+
"step": 930
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 1.537512846865365,
|
| 1315 |
+
"grad_norm": 0.6933180093765259,
|
| 1316 |
+
"learning_rate": 2.405292625711535e-05,
|
| 1317 |
+
"loss": 0.8367,
|
| 1318 |
+
"step": 935
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 1.5457348406988696,
|
| 1322 |
+
"grad_norm": 0.67847740650177,
|
| 1323 |
+
"learning_rate": 2.3837823028832822e-05,
|
| 1324 |
+
"loss": 0.7216,
|
| 1325 |
+
"step": 940
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 1.5539568345323742,
|
| 1329 |
+
"grad_norm": 1.0530544519424438,
|
| 1330 |
+
"learning_rate": 2.3622805991103362e-05,
|
| 1331 |
+
"loss": 0.8308,
|
| 1332 |
+
"step": 945
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 1.5621788283658788,
|
| 1336 |
+
"grad_norm": 1.2174192667007446,
|
| 1337 |
+
"learning_rate": 2.340789109023969e-05,
|
| 1338 |
+
"loss": 0.7712,
|
| 1339 |
+
"step": 950
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 1.5704008221993835,
|
| 1343 |
+
"grad_norm": 0.8486307859420776,
|
| 1344 |
+
"learning_rate": 2.3193094264979736e-05,
|
| 1345 |
+
"loss": 0.6857,
|
| 1346 |
+
"step": 955
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 1.5786228160328881,
|
| 1350 |
+
"grad_norm": 0.8623594045639038,
|
| 1351 |
+
"learning_rate": 2.2978431445304575e-05,
|
| 1352 |
+
"loss": 0.7837,
|
| 1353 |
+
"step": 960
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 1.5868448098663928,
|
| 1357 |
+
"grad_norm": 0.6950398683547974,
|
| 1358 |
+
"learning_rate": 2.2763918551257018e-05,
|
| 1359 |
+
"loss": 0.71,
|
| 1360 |
+
"step": 965
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 1.5950668036998972,
|
| 1364 |
+
"grad_norm": 1.0914013385772705,
|
| 1365 |
+
"learning_rate": 2.2549571491760986e-05,
|
| 1366 |
+
"loss": 0.7722,
|
| 1367 |
+
"step": 970
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 1.6032887975334018,
|
| 1371 |
+
"grad_norm": 0.9067034721374512,
|
| 1372 |
+
"learning_rate": 2.2335406163441563e-05,
|
| 1373 |
+
"loss": 0.8407,
|
| 1374 |
+
"step": 975
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 1.6115107913669064,
|
| 1378 |
+
"grad_norm": 0.6557819843292236,
|
| 1379 |
+
"learning_rate": 2.21214384494461e-05,
|
| 1380 |
+
"loss": 0.6819,
|
| 1381 |
+
"step": 980
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 1.619732785200411,
|
| 1385 |
+
"grad_norm": 1.041945457458496,
|
| 1386 |
+
"learning_rate": 2.190768421826631e-05,
|
| 1387 |
+
"loss": 0.7743,
|
| 1388 |
+
"step": 985
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 1.6279547790339157,
|
| 1392 |
+
"grad_norm": 1.0989412069320679,
|
| 1393 |
+
"learning_rate": 2.169415932256135e-05,
|
| 1394 |
+
"loss": 0.724,
|
| 1395 |
+
"step": 990
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 1.6361767728674204,
|
| 1399 |
+
"grad_norm": 1.0662113428115845,
|
| 1400 |
+
"learning_rate": 2.1480879597982153e-05,
|
| 1401 |
+
"loss": 0.9112,
|
| 1402 |
+
"step": 995
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 1.644398766700925,
|
| 1406 |
+
"grad_norm": 0.7899945974349976,
|
| 1407 |
+
"learning_rate": 2.1267860861997035e-05,
|
| 1408 |
+
"loss": 0.7436,
|
| 1409 |
+
"step": 1000
|
| 1410 |
+
}
|
| 1411 |
+
],
|
| 1412 |
+
"logging_steps": 5,
|
| 1413 |
+
"max_steps": 1824,
|
| 1414 |
+
"num_input_tokens_seen": 0,
|
| 1415 |
+
"num_train_epochs": 3,
|
| 1416 |
+
"save_steps": 100,
|
| 1417 |
+
"total_flos": 4.714445035856855e+17,
|
| 1418 |
+
"train_batch_size": 1,
|
| 1419 |
+
"trial_name": null,
|
| 1420 |
+
"trial_params": null
|
| 1421 |
+
}
|
checkpoint-1000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7da40bedcaa97ca5797127d487348c4b521b16e2df25cfedbca83617e93b2e68
|
| 3 |
+
size 5176
|
checkpoint-1100/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.0
|
checkpoint-1100/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
checkpoint-1100/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4e76298071f0726b1f85f845065d2a795fab1082471258ea235115debd4084de
|
| 3 |
+
size 13648432
|
checkpoint-1100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:64122776015ba993589d8002eb459ceb7bab1e11a796847623209d1ded9d9368
|
| 3 |
+
size 27370618
|
checkpoint-1100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ff264f99d31b522cc7e2a4eac9d38606d0c58a34c0adc74d71e0ca8b371dc36
|
| 3 |
+
size 14244
|
checkpoint-1100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea8ab60446b0f45ee957ac353a2566feabee948f07e9104e0af91cc69b851fdf
|
| 3 |
+
size 1064
|
checkpoint-1100/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-1100/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1100/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
checkpoint-1100/tokenizer_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
},
|
| 30 |
+
"additional_special_tokens": [],
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{{ '<s>' + system_message }}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ ' [INST] ' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
+
"legacy": true,
|
| 36 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 37 |
+
"pad_token": "</s>",
|
| 38 |
+
"padding_side": "right",
|
| 39 |
+
"sp_model_kwargs": {},
|
| 40 |
+
"spaces_between_special_tokens": false,
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 43 |
+
"unk_token": "<unk>",
|
| 44 |
+
"use_default_system_prompt": false
|
| 45 |
+
}
|
checkpoint-1100/trainer_state.json
ADDED
|
@@ -0,0 +1,1561 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.8088386433710175,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1100,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.008221993833504625,
|
| 13 |
+
"grad_norm": 1.0209685564041138,
|
| 14 |
+
"learning_rate": 4.999907296225947e-05,
|
| 15 |
+
"loss": 1.1323,
|
| 16 |
+
"step": 5
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.01644398766700925,
|
| 20 |
+
"grad_norm": 1.084985375404358,
|
| 21 |
+
"learning_rate": 4.9996291917789814e-05,
|
| 22 |
+
"loss": 1.043,
|
| 23 |
+
"step": 10
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.024665981500513873,
|
| 27 |
+
"grad_norm": 1.1630356311798096,
|
| 28 |
+
"learning_rate": 4.999165707284169e-05,
|
| 29 |
+
"loss": 1.0403,
|
| 30 |
+
"step": 15
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0328879753340185,
|
| 34 |
+
"grad_norm": 0.9428950548171997,
|
| 35 |
+
"learning_rate": 4.998516877114917e-05,
|
| 36 |
+
"loss": 0.7908,
|
| 37 |
+
"step": 20
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.041109969167523124,
|
| 41 |
+
"grad_norm": 0.8565282225608826,
|
| 42 |
+
"learning_rate": 4.9976827493904315e-05,
|
| 43 |
+
"loss": 0.8942,
|
| 44 |
+
"step": 25
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.04933196300102775,
|
| 48 |
+
"grad_norm": 0.9475494623184204,
|
| 49 |
+
"learning_rate": 4.996882074080329e-05,
|
| 50 |
+
"loss": 1.3336,
|
| 51 |
+
"step": 30
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.05755395683453238,
|
| 55 |
+
"grad_norm": 3.55914044380188,
|
| 56 |
+
"learning_rate": 4.9957145758791006e-05,
|
| 57 |
+
"loss": 0.7717,
|
| 58 |
+
"step": 35
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.065775950668037,
|
| 62 |
+
"grad_norm": 0.6254042983055115,
|
| 63 |
+
"learning_rate": 4.9943619879497585e-05,
|
| 64 |
+
"loss": 0.7791,
|
| 65 |
+
"step": 40
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.07399794450154162,
|
| 69 |
+
"grad_norm": 1.1033686399459839,
|
| 70 |
+
"learning_rate": 4.992824410604308e-05,
|
| 71 |
+
"loss": 0.816,
|
| 72 |
+
"step": 45
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.08221993833504625,
|
| 76 |
+
"grad_norm": 0.6939295530319214,
|
| 77 |
+
"learning_rate": 4.991101957874126e-05,
|
| 78 |
+
"loss": 0.8761,
|
| 79 |
+
"step": 50
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.09044193216855087,
|
| 83 |
+
"grad_norm": 0.957773745059967,
|
| 84 |
+
"learning_rate": 4.98919475750151e-05,
|
| 85 |
+
"loss": 0.8573,
|
| 86 |
+
"step": 55
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.0986639260020555,
|
| 90 |
+
"grad_norm": 0.6181407570838928,
|
| 91 |
+
"learning_rate": 4.987102950930195e-05,
|
| 92 |
+
"loss": 0.8158,
|
| 93 |
+
"step": 60
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.10688591983556012,
|
| 97 |
+
"grad_norm": 0.6531780362129211,
|
| 98 |
+
"learning_rate": 4.984826693294874e-05,
|
| 99 |
+
"loss": 0.8796,
|
| 100 |
+
"step": 65
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.11510791366906475,
|
| 104 |
+
"grad_norm": 1.6238263845443726,
|
| 105 |
+
"learning_rate": 4.982366153409685e-05,
|
| 106 |
+
"loss": 0.7839,
|
| 107 |
+
"step": 70
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.12332990750256938,
|
| 111 |
+
"grad_norm": 18.583261489868164,
|
| 112 |
+
"learning_rate": 4.979721513755695e-05,
|
| 113 |
+
"loss": 1.1142,
|
| 114 |
+
"step": 75
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.131551901336074,
|
| 118 |
+
"grad_norm": 0.7723462581634521,
|
| 119 |
+
"learning_rate": 4.9768929704673654e-05,
|
| 120 |
+
"loss": 0.8193,
|
| 121 |
+
"step": 80
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.1397738951695786,
|
| 125 |
+
"grad_norm": 0.7994495630264282,
|
| 126 |
+
"learning_rate": 4.973880733318007e-05,
|
| 127 |
+
"loss": 0.9853,
|
| 128 |
+
"step": 85
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.14799588900308325,
|
| 132 |
+
"grad_norm": 0.5460528135299683,
|
| 133 |
+
"learning_rate": 4.970685025704222e-05,
|
| 134 |
+
"loss": 0.861,
|
| 135 |
+
"step": 90
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.15621788283658788,
|
| 139 |
+
"grad_norm": 1.0410531759262085,
|
| 140 |
+
"learning_rate": 4.9673060846293326e-05,
|
| 141 |
+
"loss": 0.8044,
|
| 142 |
+
"step": 95
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.1644398766700925,
|
| 146 |
+
"grad_norm": 0.7643013000488281,
|
| 147 |
+
"learning_rate": 4.963744160685815e-05,
|
| 148 |
+
"loss": 0.9048,
|
| 149 |
+
"step": 100
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.17266187050359713,
|
| 153 |
+
"grad_norm": 0.9957767724990845,
|
| 154 |
+
"learning_rate": 4.9599995180367e-05,
|
| 155 |
+
"loss": 0.8768,
|
| 156 |
+
"step": 105
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.18088386433710174,
|
| 160 |
+
"grad_norm": 0.5331000685691833,
|
| 161 |
+
"learning_rate": 4.956072434395994e-05,
|
| 162 |
+
"loss": 0.7871,
|
| 163 |
+
"step": 110
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.18910585817060638,
|
| 167 |
+
"grad_norm": 0.6342468857765198,
|
| 168 |
+
"learning_rate": 4.951963201008076e-05,
|
| 169 |
+
"loss": 0.9122,
|
| 170 |
+
"step": 115
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.197327852004111,
|
| 174 |
+
"grad_norm": 0.703365683555603,
|
| 175 |
+
"learning_rate": 4.947672122626101e-05,
|
| 176 |
+
"loss": 0.7379,
|
| 177 |
+
"step": 120
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.20554984583761562,
|
| 181 |
+
"grad_norm": 0.7069611549377441,
|
| 182 |
+
"learning_rate": 4.9431995174893984e-05,
|
| 183 |
+
"loss": 0.8529,
|
| 184 |
+
"step": 125
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.21377183967112023,
|
| 188 |
+
"grad_norm": 0.7649345993995667,
|
| 189 |
+
"learning_rate": 4.938545717299867e-05,
|
| 190 |
+
"loss": 0.8618,
|
| 191 |
+
"step": 130
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.22199383350462487,
|
| 195 |
+
"grad_norm": 0.53890061378479,
|
| 196 |
+
"learning_rate": 4.9337110671973815e-05,
|
| 197 |
+
"loss": 0.8235,
|
| 198 |
+
"step": 135
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.2302158273381295,
|
| 202 |
+
"grad_norm": 1.6072089672088623,
|
| 203 |
+
"learning_rate": 4.928695925734191e-05,
|
| 204 |
+
"loss": 0.8145,
|
| 205 |
+
"step": 140
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.23843782117163412,
|
| 209 |
+
"grad_norm": 1.1523021459579468,
|
| 210 |
+
"learning_rate": 4.923500664848326e-05,
|
| 211 |
+
"loss": 1.1315,
|
| 212 |
+
"step": 145
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.24665981500513876,
|
| 216 |
+
"grad_norm": 0.9310020804405212,
|
| 217 |
+
"learning_rate": 4.9181256698360216e-05,
|
| 218 |
+
"loss": 0.9059,
|
| 219 |
+
"step": 150
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.25488180883864336,
|
| 223 |
+
"grad_norm": 1.087494134902954,
|
| 224 |
+
"learning_rate": 4.912571339323135e-05,
|
| 225 |
+
"loss": 0.8613,
|
| 226 |
+
"step": 155
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.263103802672148,
|
| 230 |
+
"grad_norm": 0.9017001986503601,
|
| 231 |
+
"learning_rate": 4.906838085235588e-05,
|
| 232 |
+
"loss": 0.8456,
|
| 233 |
+
"step": 160
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.27132579650565264,
|
| 237 |
+
"grad_norm": 0.6858020424842834,
|
| 238 |
+
"learning_rate": 4.900926332768814e-05,
|
| 239 |
+
"loss": 0.697,
|
| 240 |
+
"step": 165
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.2795477903391572,
|
| 244 |
+
"grad_norm": 0.9164858460426331,
|
| 245 |
+
"learning_rate": 4.894836520356223e-05,
|
| 246 |
+
"loss": 0.8006,
|
| 247 |
+
"step": 170
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.28776978417266186,
|
| 251 |
+
"grad_norm": 0.6167294979095459,
|
| 252 |
+
"learning_rate": 4.888569099636692e-05,
|
| 253 |
+
"loss": 0.7694,
|
| 254 |
+
"step": 175
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.2959917780061665,
|
| 258 |
+
"grad_norm": 0.7028630375862122,
|
| 259 |
+
"learning_rate": 4.882124535421064e-05,
|
| 260 |
+
"loss": 0.7581,
|
| 261 |
+
"step": 180
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.30421377183967113,
|
| 265 |
+
"grad_norm": 0.774492084980011,
|
| 266 |
+
"learning_rate": 4.875503305657678e-05,
|
| 267 |
+
"loss": 0.9007,
|
| 268 |
+
"step": 185
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.31243576567317577,
|
| 272 |
+
"grad_norm": 0.6041566729545593,
|
| 273 |
+
"learning_rate": 4.868705901396926e-05,
|
| 274 |
+
"loss": 0.821,
|
| 275 |
+
"step": 190
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.32065775950668035,
|
| 279 |
+
"grad_norm": 0.6822388768196106,
|
| 280 |
+
"learning_rate": 4.86173282675483e-05,
|
| 281 |
+
"loss": 0.7113,
|
| 282 |
+
"step": 195
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.328879753340185,
|
| 286 |
+
"grad_norm": 0.5451642870903015,
|
| 287 |
+
"learning_rate": 4.854584598875659e-05,
|
| 288 |
+
"loss": 0.7905,
|
| 289 |
+
"step": 200
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.3371017471736896,
|
| 293 |
+
"grad_norm": 0.694070041179657,
|
| 294 |
+
"learning_rate": 4.8472617478935746e-05,
|
| 295 |
+
"loss": 0.7346,
|
| 296 |
+
"step": 205
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.34532374100719426,
|
| 300 |
+
"grad_norm": 0.715756356716156,
|
| 301 |
+
"learning_rate": 4.839764816893315e-05,
|
| 302 |
+
"loss": 0.864,
|
| 303 |
+
"step": 210
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.35354573484069884,
|
| 307 |
+
"grad_norm": 0.777726411819458,
|
| 308 |
+
"learning_rate": 4.8320943618699175e-05,
|
| 309 |
+
"loss": 0.7845,
|
| 310 |
+
"step": 215
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.3617677286742035,
|
| 314 |
+
"grad_norm": 0.5659850835800171,
|
| 315 |
+
"learning_rate": 4.8242509516874875e-05,
|
| 316 |
+
"loss": 0.7677,
|
| 317 |
+
"step": 220
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.3699897225077081,
|
| 321 |
+
"grad_norm": 0.9791976809501648,
|
| 322 |
+
"learning_rate": 4.8162351680370044e-05,
|
| 323 |
+
"loss": 0.8872,
|
| 324 |
+
"step": 225
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.37821171634121276,
|
| 328 |
+
"grad_norm": 0.781254231929779,
|
| 329 |
+
"learning_rate": 4.808047605393186e-05,
|
| 330 |
+
"loss": 0.8123,
|
| 331 |
+
"step": 230
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.3864337101747174,
|
| 335 |
+
"grad_norm": 0.6411670446395874,
|
| 336 |
+
"learning_rate": 4.799688870970396e-05,
|
| 337 |
+
"loss": 0.758,
|
| 338 |
+
"step": 235
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.394655704008222,
|
| 342 |
+
"grad_norm": 0.6815776824951172,
|
| 343 |
+
"learning_rate": 4.791159584677618e-05,
|
| 344 |
+
"loss": 0.8342,
|
| 345 |
+
"step": 240
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.4028776978417266,
|
| 349 |
+
"grad_norm": 0.8110681176185608,
|
| 350 |
+
"learning_rate": 4.7824603790724756e-05,
|
| 351 |
+
"loss": 0.8678,
|
| 352 |
+
"step": 245
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.41109969167523125,
|
| 356 |
+
"grad_norm": 0.8205195665359497,
|
| 357 |
+
"learning_rate": 4.7735918993143204e-05,
|
| 358 |
+
"loss": 0.841,
|
| 359 |
+
"step": 250
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.4193216855087359,
|
| 363 |
+
"grad_norm": 0.6616660952568054,
|
| 364 |
+
"learning_rate": 4.7645548031163875e-05,
|
| 365 |
+
"loss": 0.7849,
|
| 366 |
+
"step": 255
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.42754367934224047,
|
| 370 |
+
"grad_norm": 1.2129219770431519,
|
| 371 |
+
"learning_rate": 4.755349760697018e-05,
|
| 372 |
+
"loss": 0.834,
|
| 373 |
+
"step": 260
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.4357656731757451,
|
| 377 |
+
"grad_norm": 3.43440580368042,
|
| 378 |
+
"learning_rate": 4.7459774547299475e-05,
|
| 379 |
+
"loss": 0.8394,
|
| 380 |
+
"step": 265
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.44398766700924974,
|
| 384 |
+
"grad_norm": 0.5488320589065552,
|
| 385 |
+
"learning_rate": 4.736438580293685e-05,
|
| 386 |
+
"loss": 0.9777,
|
| 387 |
+
"step": 270
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.4522096608427544,
|
| 391 |
+
"grad_norm": 0.7190982699394226,
|
| 392 |
+
"learning_rate": 4.726733844819958e-05,
|
| 393 |
+
"loss": 0.7637,
|
| 394 |
+
"step": 275
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.460431654676259,
|
| 398 |
+
"grad_norm": 1.037620186805725,
|
| 399 |
+
"learning_rate": 4.716863968041252e-05,
|
| 400 |
+
"loss": 0.8678,
|
| 401 |
+
"step": 280
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.4686536485097636,
|
| 405 |
+
"grad_norm": 0.9103302955627441,
|
| 406 |
+
"learning_rate": 4.7068296819374266e-05,
|
| 407 |
+
"loss": 0.7724,
|
| 408 |
+
"step": 285
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.47687564234326824,
|
| 412 |
+
"grad_norm": 0.9514378905296326,
|
| 413 |
+
"learning_rate": 4.6966317306814366e-05,
|
| 414 |
+
"loss": 0.8527,
|
| 415 |
+
"step": 290
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.4850976361767729,
|
| 419 |
+
"grad_norm": 1.0511500835418701,
|
| 420 |
+
"learning_rate": 4.686270870584136e-05,
|
| 421 |
+
"loss": 0.7902,
|
| 422 |
+
"step": 295
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.4933196300102775,
|
| 426 |
+
"grad_norm": 0.8145704865455627,
|
| 427 |
+
"learning_rate": 4.675747870038192e-05,
|
| 428 |
+
"loss": 0.8946,
|
| 429 |
+
"step": 300
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.5015416238437821,
|
| 433 |
+
"grad_norm": 1.0371451377868652,
|
| 434 |
+
"learning_rate": 4.665063509461097e-05,
|
| 435 |
+
"loss": 0.8673,
|
| 436 |
+
"step": 305
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.5097636176772867,
|
| 440 |
+
"grad_norm": 0.6650281548500061,
|
| 441 |
+
"learning_rate": 4.6542185812372896e-05,
|
| 442 |
+
"loss": 0.7537,
|
| 443 |
+
"step": 310
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.5179856115107914,
|
| 447 |
+
"grad_norm": 0.6645053029060364,
|
| 448 |
+
"learning_rate": 4.6432138896593905e-05,
|
| 449 |
+
"loss": 0.849,
|
| 450 |
+
"step": 315
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.526207605344296,
|
| 454 |
+
"grad_norm": 0.6810983419418335,
|
| 455 |
+
"learning_rate": 4.6320502508685525e-05,
|
| 456 |
+
"loss": 0.8381,
|
| 457 |
+
"step": 320
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.5344295991778006,
|
| 461 |
+
"grad_norm": 0.6818865537643433,
|
| 462 |
+
"learning_rate": 4.620728492793934e-05,
|
| 463 |
+
"loss": 0.7549,
|
| 464 |
+
"step": 325
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.5426515930113053,
|
| 468 |
+
"grad_norm": 0.6401437520980835,
|
| 469 |
+
"learning_rate": 4.609249455091299e-05,
|
| 470 |
+
"loss": 0.7997,
|
| 471 |
+
"step": 330
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.5508735868448099,
|
| 475 |
+
"grad_norm": 0.9009031057357788,
|
| 476 |
+
"learning_rate": 4.597613989080739e-05,
|
| 477 |
+
"loss": 0.7419,
|
| 478 |
+
"step": 335
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.5590955806783144,
|
| 482 |
+
"grad_norm": 0.7448415756225586,
|
| 483 |
+
"learning_rate": 4.585822957683544e-05,
|
| 484 |
+
"loss": 0.8626,
|
| 485 |
+
"step": 340
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.5673175745118191,
|
| 489 |
+
"grad_norm": 0.7883594036102295,
|
| 490 |
+
"learning_rate": 4.573877235358204e-05,
|
| 491 |
+
"loss": 0.8378,
|
| 492 |
+
"step": 345
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.5755395683453237,
|
| 496 |
+
"grad_norm": 0.7353366613388062,
|
| 497 |
+
"learning_rate": 4.5617777080355515e-05,
|
| 498 |
+
"loss": 0.7941,
|
| 499 |
+
"step": 350
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.5837615621788284,
|
| 503 |
+
"grad_norm": 0.6732987761497498,
|
| 504 |
+
"learning_rate": 4.549525273053067e-05,
|
| 505 |
+
"loss": 0.7599,
|
| 506 |
+
"step": 355
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.591983556012333,
|
| 510 |
+
"grad_norm": 0.7016430497169495,
|
| 511 |
+
"learning_rate": 4.5371208390883186e-05,
|
| 512 |
+
"loss": 0.7602,
|
| 513 |
+
"step": 360
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.6002055498458376,
|
| 517 |
+
"grad_norm": 0.765799880027771,
|
| 518 |
+
"learning_rate": 4.524565326091583e-05,
|
| 519 |
+
"loss": 0.8385,
|
| 520 |
+
"step": 365
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.6084275436793423,
|
| 524 |
+
"grad_norm": 0.7388527989387512,
|
| 525 |
+
"learning_rate": 4.5118596652176116e-05,
|
| 526 |
+
"loss": 0.8099,
|
| 527 |
+
"step": 370
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.6166495375128469,
|
| 531 |
+
"grad_norm": 0.6414201259613037,
|
| 532 |
+
"learning_rate": 4.499004798756577e-05,
|
| 533 |
+
"loss": 0.875,
|
| 534 |
+
"step": 375
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.6248715313463515,
|
| 538 |
+
"grad_norm": 0.6936383843421936,
|
| 539 |
+
"learning_rate": 4.486001680064187e-05,
|
| 540 |
+
"loss": 0.7498,
|
| 541 |
+
"step": 380
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.6330935251798561,
|
| 545 |
+
"grad_norm": 8.751770973205566,
|
| 546 |
+
"learning_rate": 4.4728512734909844e-05,
|
| 547 |
+
"loss": 0.8769,
|
| 548 |
+
"step": 385
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.6413155190133607,
|
| 552 |
+
"grad_norm": 0.9969173073768616,
|
| 553 |
+
"learning_rate": 4.4595545543108235e-05,
|
| 554 |
+
"loss": 0.9605,
|
| 555 |
+
"step": 390
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.6495375128468653,
|
| 559 |
+
"grad_norm": 0.6103174090385437,
|
| 560 |
+
"learning_rate": 4.446112508648546e-05,
|
| 561 |
+
"loss": 0.9421,
|
| 562 |
+
"step": 395
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.65775950668037,
|
| 566 |
+
"grad_norm": 0.5853813290596008,
|
| 567 |
+
"learning_rate": 4.4325261334068426e-05,
|
| 568 |
+
"loss": 0.7232,
|
| 569 |
+
"step": 400
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.6659815005138746,
|
| 573 |
+
"grad_norm": 0.6471512913703918,
|
| 574 |
+
"learning_rate": 4.418796436192322e-05,
|
| 575 |
+
"loss": 0.8164,
|
| 576 |
+
"step": 405
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.6742034943473793,
|
| 580 |
+
"grad_norm": 0.6468719244003296,
|
| 581 |
+
"learning_rate": 4.404924435240781e-05,
|
| 582 |
+
"loss": 0.8688,
|
| 583 |
+
"step": 410
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.6824254881808839,
|
| 587 |
+
"grad_norm": 2.313459873199463,
|
| 588 |
+
"learning_rate": 4.390911159341697e-05,
|
| 589 |
+
"loss": 0.771,
|
| 590 |
+
"step": 415
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.6906474820143885,
|
| 594 |
+
"grad_norm": 0.9390446543693542,
|
| 595 |
+
"learning_rate": 4.3767576477619163e-05,
|
| 596 |
+
"loss": 0.7608,
|
| 597 |
+
"step": 420
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.6988694758478932,
|
| 601 |
+
"grad_norm": 0.7414926886558533,
|
| 602 |
+
"learning_rate": 4.362464950168593e-05,
|
| 603 |
+
"loss": 0.8851,
|
| 604 |
+
"step": 425
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.7070914696813977,
|
| 608 |
+
"grad_norm": 4.740745544433594,
|
| 609 |
+
"learning_rate": 4.348034126551332e-05,
|
| 610 |
+
"loss": 0.9257,
|
| 611 |
+
"step": 430
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.7153134635149023,
|
| 615 |
+
"grad_norm": 0.7543152570724487,
|
| 616 |
+
"learning_rate": 4.3334662471435844e-05,
|
| 617 |
+
"loss": 0.7974,
|
| 618 |
+
"step": 435
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.723535457348407,
|
| 622 |
+
"grad_norm": 0.811599850654602,
|
| 623 |
+
"learning_rate": 4.31876239234327e-05,
|
| 624 |
+
"loss": 0.7989,
|
| 625 |
+
"step": 440
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.7317574511819116,
|
| 629 |
+
"grad_norm": 0.8794097900390625,
|
| 630 |
+
"learning_rate": 4.303923652632655e-05,
|
| 631 |
+
"loss": 0.7349,
|
| 632 |
+
"step": 445
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.7399794450154162,
|
| 636 |
+
"grad_norm": 0.7543870806694031,
|
| 637 |
+
"learning_rate": 4.28895112849748e-05,
|
| 638 |
+
"loss": 0.7606,
|
| 639 |
+
"step": 450
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.7482014388489209,
|
| 643 |
+
"grad_norm": 0.704965353012085,
|
| 644 |
+
"learning_rate": 4.273845930345339e-05,
|
| 645 |
+
"loss": 0.7725,
|
| 646 |
+
"step": 455
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.7564234326824255,
|
| 650 |
+
"grad_norm": 1.0041465759277344,
|
| 651 |
+
"learning_rate": 4.2586091784233326e-05,
|
| 652 |
+
"loss": 0.7289,
|
| 653 |
+
"step": 460
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.7646454265159301,
|
| 657 |
+
"grad_norm": 0.9165995717048645,
|
| 658 |
+
"learning_rate": 4.2432420027349886e-05,
|
| 659 |
+
"loss": 0.8736,
|
| 660 |
+
"step": 465
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.7728674203494348,
|
| 664 |
+
"grad_norm": 0.7650847434997559,
|
| 665 |
+
"learning_rate": 4.227745542956452e-05,
|
| 666 |
+
"loss": 0.7891,
|
| 667 |
+
"step": 470
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.7810894141829393,
|
| 671 |
+
"grad_norm": 0.8251364231109619,
|
| 672 |
+
"learning_rate": 4.212120948351968e-05,
|
| 673 |
+
"loss": 0.743,
|
| 674 |
+
"step": 475
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.789311408016444,
|
| 678 |
+
"grad_norm": 1.5619304180145264,
|
| 679 |
+
"learning_rate": 4.196369377688646e-05,
|
| 680 |
+
"loss": 0.8561,
|
| 681 |
+
"step": 480
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.7975334018499486,
|
| 685 |
+
"grad_norm": 0.6772528886795044,
|
| 686 |
+
"learning_rate": 4.180491999150527e-05,
|
| 687 |
+
"loss": 0.7763,
|
| 688 |
+
"step": 485
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.8057553956834532,
|
| 692 |
+
"grad_norm": 0.7238550782203674,
|
| 693 |
+
"learning_rate": 4.164489990251937e-05,
|
| 694 |
+
"loss": 0.7988,
|
| 695 |
+
"step": 490
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.8139773895169579,
|
| 699 |
+
"grad_norm": 0.9421666264533997,
|
| 700 |
+
"learning_rate": 4.148364537750172e-05,
|
| 701 |
+
"loss": 0.9225,
|
| 702 |
+
"step": 495
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.8221993833504625,
|
| 706 |
+
"grad_norm": 0.9528664350509644,
|
| 707 |
+
"learning_rate": 4.132116837557477e-05,
|
| 708 |
+
"loss": 0.8358,
|
| 709 |
+
"step": 500
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.8304213771839671,
|
| 713 |
+
"grad_norm": 0.7147894501686096,
|
| 714 |
+
"learning_rate": 4.115748094652352e-05,
|
| 715 |
+
"loss": 0.8278,
|
| 716 |
+
"step": 505
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.8386433710174718,
|
| 720 |
+
"grad_norm": 0.7133510112762451,
|
| 721 |
+
"learning_rate": 4.0992595229901944e-05,
|
| 722 |
+
"loss": 0.8236,
|
| 723 |
+
"step": 510
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.8468653648509764,
|
| 727 |
+
"grad_norm": 1.1197230815887451,
|
| 728 |
+
"learning_rate": 4.082652345413259e-05,
|
| 729 |
+
"loss": 0.7465,
|
| 730 |
+
"step": 515
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.8550873586844809,
|
| 734 |
+
"grad_norm": 0.7799179553985596,
|
| 735 |
+
"learning_rate": 4.0659277935599785e-05,
|
| 736 |
+
"loss": 0.8194,
|
| 737 |
+
"step": 520
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.8633093525179856,
|
| 741 |
+
"grad_norm": 0.8654146790504456,
|
| 742 |
+
"learning_rate": 4.049087107773612e-05,
|
| 743 |
+
"loss": 0.7754,
|
| 744 |
+
"step": 525
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.8715313463514902,
|
| 748 |
+
"grad_norm": 1.5001493692398071,
|
| 749 |
+
"learning_rate": 4.032131537010264e-05,
|
| 750 |
+
"loss": 0.7589,
|
| 751 |
+
"step": 530
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.8797533401849948,
|
| 755 |
+
"grad_norm": 1.256003737449646,
|
| 756 |
+
"learning_rate": 4.015062338746256e-05,
|
| 757 |
+
"loss": 0.8673,
|
| 758 |
+
"step": 535
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.8879753340184995,
|
| 762 |
+
"grad_norm": 0.9992612600326538,
|
| 763 |
+
"learning_rate": 3.997880778884866e-05,
|
| 764 |
+
"loss": 0.6732,
|
| 765 |
+
"step": 540
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.8961973278520041,
|
| 769 |
+
"grad_norm": 0.6338282227516174,
|
| 770 |
+
"learning_rate": 3.9805881316624506e-05,
|
| 771 |
+
"loss": 0.7108,
|
| 772 |
+
"step": 545
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.9044193216855088,
|
| 776 |
+
"grad_norm": 0.6869713664054871,
|
| 777 |
+
"learning_rate": 3.963185679553936e-05,
|
| 778 |
+
"loss": 0.8243,
|
| 779 |
+
"step": 550
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.9126413155190134,
|
| 783 |
+
"grad_norm": 1.1732268333435059,
|
| 784 |
+
"learning_rate": 3.945674713177715e-05,
|
| 785 |
+
"loss": 0.81,
|
| 786 |
+
"step": 555
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.920863309352518,
|
| 790 |
+
"grad_norm": 0.8158470988273621,
|
| 791 |
+
"learning_rate": 3.928056531199922e-05,
|
| 792 |
+
"loss": 0.7879,
|
| 793 |
+
"step": 560
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.9290853031860226,
|
| 797 |
+
"grad_norm": 0.6695348620414734,
|
| 798 |
+
"learning_rate": 3.910332440238128e-05,
|
| 799 |
+
"loss": 0.7525,
|
| 800 |
+
"step": 565
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.9373072970195272,
|
| 804 |
+
"grad_norm": 0.7612968683242798,
|
| 805 |
+
"learning_rate": 3.8925037547644306e-05,
|
| 806 |
+
"loss": 0.7921,
|
| 807 |
+
"step": 570
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.9455292908530318,
|
| 811 |
+
"grad_norm": 0.6554402709007263,
|
| 812 |
+
"learning_rate": 3.874571797007974e-05,
|
| 813 |
+
"loss": 0.7676,
|
| 814 |
+
"step": 575
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.9537512846865365,
|
| 818 |
+
"grad_norm": 0.6809045076370239,
|
| 819 |
+
"learning_rate": 3.856537896856887e-05,
|
| 820 |
+
"loss": 0.7712,
|
| 821 |
+
"step": 580
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.9619732785200411,
|
| 825 |
+
"grad_norm": 0.6195858120918274,
|
| 826 |
+
"learning_rate": 3.838403391759652e-05,
|
| 827 |
+
"loss": 0.8727,
|
| 828 |
+
"step": 585
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.9701952723535457,
|
| 832 |
+
"grad_norm": 0.5144709944725037,
|
| 833 |
+
"learning_rate": 3.82016962662592e-05,
|
| 834 |
+
"loss": 0.7533,
|
| 835 |
+
"step": 590
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.9784172661870504,
|
| 839 |
+
"grad_norm": 0.6085109710693359,
|
| 840 |
+
"learning_rate": 3.801837953726767e-05,
|
| 841 |
+
"loss": 0.8188,
|
| 842 |
+
"step": 595
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.986639260020555,
|
| 846 |
+
"grad_norm": 0.5800123810768127,
|
| 847 |
+
"learning_rate": 3.7834097325944013e-05,
|
| 848 |
+
"loss": 0.6959,
|
| 849 |
+
"step": 600
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.9948612538540597,
|
| 853 |
+
"grad_norm": 0.7396177053451538,
|
| 854 |
+
"learning_rate": 3.764886329921342e-05,
|
| 855 |
+
"loss": 0.8678,
|
| 856 |
+
"step": 605
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 1.0030832476875642,
|
| 860 |
+
"grad_norm": 0.6835121512413025,
|
| 861 |
+
"learning_rate": 3.746269119459058e-05,
|
| 862 |
+
"loss": 0.6889,
|
| 863 |
+
"step": 610
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 1.0113052415210688,
|
| 867 |
+
"grad_norm": 0.5903937220573425,
|
| 868 |
+
"learning_rate": 3.7275594819160864e-05,
|
| 869 |
+
"loss": 0.7737,
|
| 870 |
+
"step": 615
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 1.0195272353545735,
|
| 874 |
+
"grad_norm": 0.7912169098854065,
|
| 875 |
+
"learning_rate": 3.708758804855637e-05,
|
| 876 |
+
"loss": 0.8015,
|
| 877 |
+
"step": 620
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 1.027749229188078,
|
| 881 |
+
"grad_norm": 0.6999536156654358,
|
| 882 |
+
"learning_rate": 3.689868482592684e-05,
|
| 883 |
+
"loss": 0.8742,
|
| 884 |
+
"step": 625
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 1.0359712230215827,
|
| 888 |
+
"grad_norm": 0.7941098809242249,
|
| 889 |
+
"learning_rate": 3.670889916090562e-05,
|
| 890 |
+
"loss": 0.8183,
|
| 891 |
+
"step": 630
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 1.0441932168550874,
|
| 895 |
+
"grad_norm": 2.4059693813323975,
|
| 896 |
+
"learning_rate": 3.651824512857062e-05,
|
| 897 |
+
"loss": 0.7953,
|
| 898 |
+
"step": 635
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 1.052415210688592,
|
| 902 |
+
"grad_norm": 0.6197062730789185,
|
| 903 |
+
"learning_rate": 3.632673686840051e-05,
|
| 904 |
+
"loss": 0.8217,
|
| 905 |
+
"step": 640
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 1.0606372045220966,
|
| 909 |
+
"grad_norm": 0.7037258744239807,
|
| 910 |
+
"learning_rate": 3.6134388583226086e-05,
|
| 911 |
+
"loss": 0.8225,
|
| 912 |
+
"step": 645
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 1.0688591983556013,
|
| 916 |
+
"grad_norm": 0.6145721077919006,
|
| 917 |
+
"learning_rate": 3.594121453817692e-05,
|
| 918 |
+
"loss": 0.8372,
|
| 919 |
+
"step": 650
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 1.077081192189106,
|
| 923 |
+
"grad_norm": 0.864341139793396,
|
| 924 |
+
"learning_rate": 3.574722905962342e-05,
|
| 925 |
+
"loss": 0.8261,
|
| 926 |
+
"step": 655
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 1.0853031860226106,
|
| 930 |
+
"grad_norm": 0.9232112169265747,
|
| 931 |
+
"learning_rate": 3.555244653411438e-05,
|
| 932 |
+
"loss": 0.7396,
|
| 933 |
+
"step": 660
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 1.0935251798561152,
|
| 937 |
+
"grad_norm": 0.7316189408302307,
|
| 938 |
+
"learning_rate": 3.535688140730997e-05,
|
| 939 |
+
"loss": 0.7587,
|
| 940 |
+
"step": 665
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 1.1017471736896198,
|
| 944 |
+
"grad_norm": 1.003225326538086,
|
| 945 |
+
"learning_rate": 3.516054818291048e-05,
|
| 946 |
+
"loss": 0.857,
|
| 947 |
+
"step": 670
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 1.1099691675231242,
|
| 951 |
+
"grad_norm": 0.8353930711746216,
|
| 952 |
+
"learning_rate": 3.496346142158058e-05,
|
| 953 |
+
"loss": 0.8011,
|
| 954 |
+
"step": 675
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 1.1181911613566289,
|
| 958 |
+
"grad_norm": 0.6220695376396179,
|
| 959 |
+
"learning_rate": 3.4765635739869565e-05,
|
| 960 |
+
"loss": 0.9088,
|
| 961 |
+
"step": 680
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 1.1264131551901335,
|
| 965 |
+
"grad_norm": 0.889065682888031,
|
| 966 |
+
"learning_rate": 3.456708580912725e-05,
|
| 967 |
+
"loss": 0.7873,
|
| 968 |
+
"step": 685
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 1.1346351490236382,
|
| 972 |
+
"grad_norm": 0.6756345629692078,
|
| 973 |
+
"learning_rate": 3.4367826354415984e-05,
|
| 974 |
+
"loss": 0.8425,
|
| 975 |
+
"step": 690
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 1.1428571428571428,
|
| 979 |
+
"grad_norm": 1.3749688863754272,
|
| 980 |
+
"learning_rate": 3.416787215341855e-05,
|
| 981 |
+
"loss": 0.6699,
|
| 982 |
+
"step": 695
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 1.1510791366906474,
|
| 986 |
+
"grad_norm": 0.810850977897644,
|
| 987 |
+
"learning_rate": 3.3967238035342185e-05,
|
| 988 |
+
"loss": 0.8184,
|
| 989 |
+
"step": 700
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 1.159301130524152,
|
| 993 |
+
"grad_norm": 0.8415716886520386,
|
| 994 |
+
"learning_rate": 3.376593887981887e-05,
|
| 995 |
+
"loss": 0.7828,
|
| 996 |
+
"step": 705
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 1.1675231243576567,
|
| 1000 |
+
"grad_norm": 1.6610947847366333,
|
| 1001 |
+
"learning_rate": 3.356398961580172e-05,
|
| 1002 |
+
"loss": 0.9209,
|
| 1003 |
+
"step": 710
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 1.1757451181911613,
|
| 1007 |
+
"grad_norm": 0.7330360412597656,
|
| 1008 |
+
"learning_rate": 3.336140522045791e-05,
|
| 1009 |
+
"loss": 0.7977,
|
| 1010 |
+
"step": 715
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 1.183967112024666,
|
| 1014 |
+
"grad_norm": 0.9250292778015137,
|
| 1015 |
+
"learning_rate": 3.315820071805785e-05,
|
| 1016 |
+
"loss": 0.848,
|
| 1017 |
+
"step": 720
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 1.1921891058581706,
|
| 1021 |
+
"grad_norm": 0.9417344927787781,
|
| 1022 |
+
"learning_rate": 3.2954391178860954e-05,
|
| 1023 |
+
"loss": 0.7302,
|
| 1024 |
+
"step": 725
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 1.2004110996916753,
|
| 1028 |
+
"grad_norm": 1.44640052318573,
|
| 1029 |
+
"learning_rate": 3.2749991717998007e-05,
|
| 1030 |
+
"loss": 0.713,
|
| 1031 |
+
"step": 730
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 1.20863309352518,
|
| 1035 |
+
"grad_norm": 0.7730007171630859,
|
| 1036 |
+
"learning_rate": 3.254501749435015e-05,
|
| 1037 |
+
"loss": 0.7393,
|
| 1038 |
+
"step": 735
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 1.2168550873586845,
|
| 1042 |
+
"grad_norm": 0.7143975496292114,
|
| 1043 |
+
"learning_rate": 3.233948370942467e-05,
|
| 1044 |
+
"loss": 0.7619,
|
| 1045 |
+
"step": 740
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 1.2250770811921892,
|
| 1049 |
+
"grad_norm": 1.0002775192260742,
|
| 1050 |
+
"learning_rate": 3.213340560622763e-05,
|
| 1051 |
+
"loss": 0.7749,
|
| 1052 |
+
"step": 745
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 1.2332990750256938,
|
| 1056 |
+
"grad_norm": 0.9485899209976196,
|
| 1057 |
+
"learning_rate": 3.192679846813335e-05,
|
| 1058 |
+
"loss": 0.688,
|
| 1059 |
+
"step": 750
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 1.2415210688591984,
|
| 1063 |
+
"grad_norm": 1.6718777418136597,
|
| 1064 |
+
"learning_rate": 3.1719677617751006e-05,
|
| 1065 |
+
"loss": 0.8177,
|
| 1066 |
+
"step": 755
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 1.249743062692703,
|
| 1070 |
+
"grad_norm": 0.9025570750236511,
|
| 1071 |
+
"learning_rate": 3.1512058415788183e-05,
|
| 1072 |
+
"loss": 0.8364,
|
| 1073 |
+
"step": 760
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 1.2579650565262077,
|
| 1077 |
+
"grad_norm": 0.7739228010177612,
|
| 1078 |
+
"learning_rate": 3.130395625991177e-05,
|
| 1079 |
+
"loss": 0.8356,
|
| 1080 |
+
"step": 765
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 1.2661870503597124,
|
| 1084 |
+
"grad_norm": 0.8168063759803772,
|
| 1085 |
+
"learning_rate": 3.1095386583605954e-05,
|
| 1086 |
+
"loss": 0.7878,
|
| 1087 |
+
"step": 770
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 1.274409044193217,
|
| 1091 |
+
"grad_norm": 0.7470309138298035,
|
| 1092 |
+
"learning_rate": 3.088636485502764e-05,
|
| 1093 |
+
"loss": 0.8318,
|
| 1094 |
+
"step": 775
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 1.2826310380267214,
|
| 1098 |
+
"grad_norm": 0.7045716643333435,
|
| 1099 |
+
"learning_rate": 3.0676906575859334e-05,
|
| 1100 |
+
"loss": 0.7219,
|
| 1101 |
+
"step": 780
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 1.290853031860226,
|
| 1105 |
+
"grad_norm": 0.6814378499984741,
|
| 1106 |
+
"learning_rate": 3.04670272801594e-05,
|
| 1107 |
+
"loss": 0.8657,
|
| 1108 |
+
"step": 785
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 1.2990750256937307,
|
| 1112 |
+
"grad_norm": 1.2378205060958862,
|
| 1113 |
+
"learning_rate": 3.0256742533210086e-05,
|
| 1114 |
+
"loss": 0.7469,
|
| 1115 |
+
"step": 790
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 1.3072970195272353,
|
| 1119 |
+
"grad_norm": 0.9097736477851868,
|
| 1120 |
+
"learning_rate": 3.0046067930363137e-05,
|
| 1121 |
+
"loss": 0.9315,
|
| 1122 |
+
"step": 795
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 1.31551901336074,
|
| 1126 |
+
"grad_norm": 1.4382425546646118,
|
| 1127 |
+
"learning_rate": 2.983501909588317e-05,
|
| 1128 |
+
"loss": 0.8883,
|
| 1129 |
+
"step": 800
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 1.3237410071942446,
|
| 1133 |
+
"grad_norm": 1.036093831062317,
|
| 1134 |
+
"learning_rate": 2.9623611681788965e-05,
|
| 1135 |
+
"loss": 0.7888,
|
| 1136 |
+
"step": 805
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 1.3319630010277492,
|
| 1140 |
+
"grad_norm": 0.8393096327781677,
|
| 1141 |
+
"learning_rate": 2.9411861366692627e-05,
|
| 1142 |
+
"loss": 0.7262,
|
| 1143 |
+
"step": 810
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 1.3401849948612539,
|
| 1147 |
+
"grad_norm": 0.9713601469993591,
|
| 1148 |
+
"learning_rate": 2.9199783854636865e-05,
|
| 1149 |
+
"loss": 0.8034,
|
| 1150 |
+
"step": 815
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 1.3484069886947585,
|
| 1154 |
+
"grad_norm": 0.752566933631897,
|
| 1155 |
+
"learning_rate": 2.8987394873930275e-05,
|
| 1156 |
+
"loss": 0.6505,
|
| 1157 |
+
"step": 820
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 1.3566289825282631,
|
| 1161 |
+
"grad_norm": 1.0012316703796387,
|
| 1162 |
+
"learning_rate": 2.8774710175980922e-05,
|
| 1163 |
+
"loss": 0.799,
|
| 1164 |
+
"step": 825
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 1.3648509763617678,
|
| 1168 |
+
"grad_norm": 0.9846720695495605,
|
| 1169 |
+
"learning_rate": 2.856174553412816e-05,
|
| 1170 |
+
"loss": 0.8233,
|
| 1171 |
+
"step": 830
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 1.3730729701952724,
|
| 1175 |
+
"grad_norm": 0.6868287920951843,
|
| 1176 |
+
"learning_rate": 2.834851674247282e-05,
|
| 1177 |
+
"loss": 0.7477,
|
| 1178 |
+
"step": 835
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 1.381294964028777,
|
| 1182 |
+
"grad_norm": 0.701734721660614,
|
| 1183 |
+
"learning_rate": 2.813503961470587e-05,
|
| 1184 |
+
"loss": 0.7528,
|
| 1185 |
+
"step": 840
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 1.3895169578622815,
|
| 1189 |
+
"grad_norm": 0.6953380107879639,
|
| 1190 |
+
"learning_rate": 2.7921329982935646e-05,
|
| 1191 |
+
"loss": 0.8185,
|
| 1192 |
+
"step": 845
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 1.397738951695786,
|
| 1196 |
+
"grad_norm": 1.0073038339614868,
|
| 1197 |
+
"learning_rate": 2.7707403696513688e-05,
|
| 1198 |
+
"loss": 0.7114,
|
| 1199 |
+
"step": 850
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 1.4059609455292907,
|
| 1203 |
+
"grad_norm": 1.3499199151992798,
|
| 1204 |
+
"learning_rate": 2.7493276620859298e-05,
|
| 1205 |
+
"loss": 0.8409,
|
| 1206 |
+
"step": 855
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 1.4141829393627954,
|
| 1210 |
+
"grad_norm": 0.6113609671592712,
|
| 1211 |
+
"learning_rate": 2.727896463628289e-05,
|
| 1212 |
+
"loss": 0.7633,
|
| 1213 |
+
"step": 860
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 1.4224049331963,
|
| 1217 |
+
"grad_norm": 0.7573457360267639,
|
| 1218 |
+
"learning_rate": 2.7064483636808313e-05,
|
| 1219 |
+
"loss": 0.731,
|
| 1220 |
+
"step": 865
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 1.4306269270298047,
|
| 1224 |
+
"grad_norm": 0.7836306691169739,
|
| 1225 |
+
"learning_rate": 2.6849849528994053e-05,
|
| 1226 |
+
"loss": 0.8232,
|
| 1227 |
+
"step": 870
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 1.4388489208633093,
|
| 1231 |
+
"grad_norm": 0.7488899230957031,
|
| 1232 |
+
"learning_rate": 2.663507823075358e-05,
|
| 1233 |
+
"loss": 0.785,
|
| 1234 |
+
"step": 875
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 1.447070914696814,
|
| 1238 |
+
"grad_norm": 0.8522717952728271,
|
| 1239 |
+
"learning_rate": 2.642018567017482e-05,
|
| 1240 |
+
"loss": 0.6938,
|
| 1241 |
+
"step": 880
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 1.4552929085303186,
|
| 1245 |
+
"grad_norm": 1.3761483430862427,
|
| 1246 |
+
"learning_rate": 2.6205187784338874e-05,
|
| 1247 |
+
"loss": 0.7444,
|
| 1248 |
+
"step": 885
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 1.4635149023638232,
|
| 1252 |
+
"grad_norm": 0.669750988483429,
|
| 1253 |
+
"learning_rate": 2.5990100518138088e-05,
|
| 1254 |
+
"loss": 0.7938,
|
| 1255 |
+
"step": 890
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 1.4717368961973278,
|
| 1259 |
+
"grad_norm": 0.836729884147644,
|
| 1260 |
+
"learning_rate": 2.577493982309352e-05,
|
| 1261 |
+
"loss": 0.8329,
|
| 1262 |
+
"step": 895
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 1.4799588900308325,
|
| 1266 |
+
"grad_norm": 1.0972259044647217,
|
| 1267 |
+
"learning_rate": 2.555972165617194e-05,
|
| 1268 |
+
"loss": 0.8275,
|
| 1269 |
+
"step": 900
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 1.4881808838643371,
|
| 1273 |
+
"grad_norm": 1.3486735820770264,
|
| 1274 |
+
"learning_rate": 2.5344461978602413e-05,
|
| 1275 |
+
"loss": 0.8497,
|
| 1276 |
+
"step": 905
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 1.4964028776978417,
|
| 1280 |
+
"grad_norm": 0.8719611763954163,
|
| 1281 |
+
"learning_rate": 2.512917675469253e-05,
|
| 1282 |
+
"loss": 0.7744,
|
| 1283 |
+
"step": 910
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 1.5046248715313464,
|
| 1287 |
+
"grad_norm": 0.7670440077781677,
|
| 1288 |
+
"learning_rate": 2.49138819506445e-05,
|
| 1289 |
+
"loss": 0.8424,
|
| 1290 |
+
"step": 915
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 1.512846865364851,
|
| 1294 |
+
"grad_norm": 0.8988850116729736,
|
| 1295 |
+
"learning_rate": 2.4698593533371038e-05,
|
| 1296 |
+
"loss": 0.8447,
|
| 1297 |
+
"step": 920
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 1.5210688591983557,
|
| 1301 |
+
"grad_norm": 1.1595510244369507,
|
| 1302 |
+
"learning_rate": 2.4483327469311148e-05,
|
| 1303 |
+
"loss": 0.7433,
|
| 1304 |
+
"step": 925
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 1.5292908530318603,
|
| 1308 |
+
"grad_norm": 0.9172937870025635,
|
| 1309 |
+
"learning_rate": 2.4268099723246088e-05,
|
| 1310 |
+
"loss": 0.7145,
|
| 1311 |
+
"step": 930
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 1.537512846865365,
|
| 1315 |
+
"grad_norm": 0.6933180093765259,
|
| 1316 |
+
"learning_rate": 2.405292625711535e-05,
|
| 1317 |
+
"loss": 0.8367,
|
| 1318 |
+
"step": 935
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 1.5457348406988696,
|
| 1322 |
+
"grad_norm": 0.67847740650177,
|
| 1323 |
+
"learning_rate": 2.3837823028832822e-05,
|
| 1324 |
+
"loss": 0.7216,
|
| 1325 |
+
"step": 940
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 1.5539568345323742,
|
| 1329 |
+
"grad_norm": 1.0530544519424438,
|
| 1330 |
+
"learning_rate": 2.3622805991103362e-05,
|
| 1331 |
+
"loss": 0.8308,
|
| 1332 |
+
"step": 945
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 1.5621788283658788,
|
| 1336 |
+
"grad_norm": 1.2174192667007446,
|
| 1337 |
+
"learning_rate": 2.340789109023969e-05,
|
| 1338 |
+
"loss": 0.7712,
|
| 1339 |
+
"step": 950
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 1.5704008221993835,
|
| 1343 |
+
"grad_norm": 0.8486307859420776,
|
| 1344 |
+
"learning_rate": 2.3193094264979736e-05,
|
| 1345 |
+
"loss": 0.6857,
|
| 1346 |
+
"step": 955
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 1.5786228160328881,
|
| 1350 |
+
"grad_norm": 0.8623594045639038,
|
| 1351 |
+
"learning_rate": 2.2978431445304575e-05,
|
| 1352 |
+
"loss": 0.7837,
|
| 1353 |
+
"step": 960
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 1.5868448098663928,
|
| 1357 |
+
"grad_norm": 0.6950398683547974,
|
| 1358 |
+
"learning_rate": 2.2763918551257018e-05,
|
| 1359 |
+
"loss": 0.71,
|
| 1360 |
+
"step": 965
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 1.5950668036998972,
|
| 1364 |
+
"grad_norm": 1.0914013385772705,
|
| 1365 |
+
"learning_rate": 2.2549571491760986e-05,
|
| 1366 |
+
"loss": 0.7722,
|
| 1367 |
+
"step": 970
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 1.6032887975334018,
|
| 1371 |
+
"grad_norm": 0.9067034721374512,
|
| 1372 |
+
"learning_rate": 2.2335406163441563e-05,
|
| 1373 |
+
"loss": 0.8407,
|
| 1374 |
+
"step": 975
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 1.6115107913669064,
|
| 1378 |
+
"grad_norm": 0.6557819843292236,
|
| 1379 |
+
"learning_rate": 2.21214384494461e-05,
|
| 1380 |
+
"loss": 0.6819,
|
| 1381 |
+
"step": 980
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 1.619732785200411,
|
| 1385 |
+
"grad_norm": 1.041945457458496,
|
| 1386 |
+
"learning_rate": 2.190768421826631e-05,
|
| 1387 |
+
"loss": 0.7743,
|
| 1388 |
+
"step": 985
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 1.6279547790339157,
|
| 1392 |
+
"grad_norm": 1.0989412069320679,
|
| 1393 |
+
"learning_rate": 2.169415932256135e-05,
|
| 1394 |
+
"loss": 0.724,
|
| 1395 |
+
"step": 990
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 1.6361767728674204,
|
| 1399 |
+
"grad_norm": 1.0662113428115845,
|
| 1400 |
+
"learning_rate": 2.1480879597982153e-05,
|
| 1401 |
+
"loss": 0.9112,
|
| 1402 |
+
"step": 995
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 1.644398766700925,
|
| 1406 |
+
"grad_norm": 0.7899945974349976,
|
| 1407 |
+
"learning_rate": 2.1267860861997035e-05,
|
| 1408 |
+
"loss": 0.7436,
|
| 1409 |
+
"step": 1000
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 1.6526207605344296,
|
| 1413 |
+
"grad_norm": 0.6741964221000671,
|
| 1414 |
+
"learning_rate": 2.1055118912718635e-05,
|
| 1415 |
+
"loss": 0.764,
|
| 1416 |
+
"step": 1005
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 1.6608427543679343,
|
| 1420 |
+
"grad_norm": 0.8556591868400574,
|
| 1421 |
+
"learning_rate": 2.0842669527732224e-05,
|
| 1422 |
+
"loss": 0.7574,
|
| 1423 |
+
"step": 1010
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 1.6690647482014387,
|
| 1427 |
+
"grad_norm": 0.7665844559669495,
|
| 1428 |
+
"learning_rate": 2.0630528462925605e-05,
|
| 1429 |
+
"loss": 0.8355,
|
| 1430 |
+
"step": 1015
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 1.6772867420349433,
|
| 1434 |
+
"grad_norm": 5.5894317626953125,
|
| 1435 |
+
"learning_rate": 2.0418711451320677e-05,
|
| 1436 |
+
"loss": 0.7511,
|
| 1437 |
+
"step": 1020
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 1.685508735868448,
|
| 1441 |
+
"grad_norm": 1.258982539176941,
|
| 1442 |
+
"learning_rate": 2.0207234201906547e-05,
|
| 1443 |
+
"loss": 0.7888,
|
| 1444 |
+
"step": 1025
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 1.6937307297019526,
|
| 1448 |
+
"grad_norm": 2.3158013820648193,
|
| 1449 |
+
"learning_rate": 1.9996112398474506e-05,
|
| 1450 |
+
"loss": 0.867,
|
| 1451 |
+
"step": 1030
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 1.7019527235354572,
|
| 1455 |
+
"grad_norm": 1.3393203020095825,
|
| 1456 |
+
"learning_rate": 1.978536169845495e-05,
|
| 1457 |
+
"loss": 0.7291,
|
| 1458 |
+
"step": 1035
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 1.7101747173689619,
|
| 1462 |
+
"grad_norm": 1.3093374967575073,
|
| 1463 |
+
"learning_rate": 1.9574997731756096e-05,
|
| 1464 |
+
"loss": 0.8257,
|
| 1465 |
+
"step": 1040
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 1.7183967112024665,
|
| 1469 |
+
"grad_norm": 0.8741866946220398,
|
| 1470 |
+
"learning_rate": 1.936503609960485e-05,
|
| 1471 |
+
"loss": 0.7578,
|
| 1472 |
+
"step": 1045
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 1.7266187050359711,
|
| 1476 |
+
"grad_norm": 0.9648747444152832,
|
| 1477 |
+
"learning_rate": 1.9155492373389766e-05,
|
| 1478 |
+
"loss": 0.713,
|
| 1479 |
+
"step": 1050
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 1.7348406988694758,
|
| 1483 |
+
"grad_norm": 1.377737045288086,
|
| 1484 |
+
"learning_rate": 1.894638209350626e-05,
|
| 1485 |
+
"loss": 0.7607,
|
| 1486 |
+
"step": 1055
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 1.7430626927029804,
|
| 1490 |
+
"grad_norm": 0.8467380404472351,
|
| 1491 |
+
"learning_rate": 1.8737720768204046e-05,
|
| 1492 |
+
"loss": 0.7561,
|
| 1493 |
+
"step": 1060
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 1.751284686536485,
|
| 1497 |
+
"grad_norm": 0.7661263346672058,
|
| 1498 |
+
"learning_rate": 1.852952387243698e-05,
|
| 1499 |
+
"loss": 0.7497,
|
| 1500 |
+
"step": 1065
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 1.7595066803699897,
|
| 1504 |
+
"grad_norm": 0.932976484298706,
|
| 1505 |
+
"learning_rate": 1.8321806846715477e-05,
|
| 1506 |
+
"loss": 0.7758,
|
| 1507 |
+
"step": 1070
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 1.7677286742034943,
|
| 1511 |
+
"grad_norm": 0.860954761505127,
|
| 1512 |
+
"learning_rate": 1.8114585095961304e-05,
|
| 1513 |
+
"loss": 0.79,
|
| 1514 |
+
"step": 1075
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 1.775950668036999,
|
| 1518 |
+
"grad_norm": 1.4737056493759155,
|
| 1519 |
+
"learning_rate": 1.7907873988365146e-05,
|
| 1520 |
+
"loss": 0.7781,
|
| 1521 |
+
"step": 1080
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 1.7841726618705036,
|
| 1525 |
+
"grad_norm": 0.927992582321167,
|
| 1526 |
+
"learning_rate": 1.7701688854246857e-05,
|
| 1527 |
+
"loss": 0.8249,
|
| 1528 |
+
"step": 1085
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 1.7923946557040082,
|
| 1532 |
+
"grad_norm": 6.58436393737793,
|
| 1533 |
+
"learning_rate": 1.7496044984918507e-05,
|
| 1534 |
+
"loss": 0.7702,
|
| 1535 |
+
"step": 1090
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 1.8006166495375129,
|
| 1539 |
+
"grad_norm": 0.8995419144630432,
|
| 1540 |
+
"learning_rate": 1.7290957631550337e-05,
|
| 1541 |
+
"loss": 1.0053,
|
| 1542 |
+
"step": 1095
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 1.8088386433710175,
|
| 1546 |
+
"grad_norm": 0.5598780512809753,
|
| 1547 |
+
"learning_rate": 1.7086442004039654e-05,
|
| 1548 |
+
"loss": 0.6576,
|
| 1549 |
+
"step": 1100
|
| 1550 |
+
}
|
| 1551 |
+
],
|
| 1552 |
+
"logging_steps": 5,
|
| 1553 |
+
"max_steps": 1824,
|
| 1554 |
+
"num_input_tokens_seen": 0,
|
| 1555 |
+
"num_train_epochs": 3,
|
| 1556 |
+
"save_steps": 100,
|
| 1557 |
+
"total_flos": 5.18790731676844e+17,
|
| 1558 |
+
"train_batch_size": 1,
|
| 1559 |
+
"trial_name": null,
|
| 1560 |
+
"trial_params": null
|
| 1561 |
+
}
|
checkpoint-1100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7da40bedcaa97ca5797127d487348c4b521b16e2df25cfedbca83617e93b2e68
|
| 3 |
+
size 5176
|
checkpoint-1200/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.0
|
checkpoint-1200/adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
checkpoint-1200/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:060843d0b80459cd4aafc762f20fa8b6908f8371db951e0e6b582a51cf64e471
|
| 3 |
+
size 13648432
|
checkpoint-1200/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:44efd134cb72472a287e1300f197bc3be76c4e0650d4b560a1180320b2b4349f
|
| 3 |
+
size 27370618
|
checkpoint-1200/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ff264f99d31b522cc7e2a4eac9d38606d0c58a34c0adc74d71e0ca8b371dc36
|
| 3 |
+
size 14244
|
checkpoint-1200/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d3cc4c6c870c355fc549426dd488da6cc246495b11fbc7511d13011908f26b28
|
| 3 |
+
size 1064
|
checkpoint-1200/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
checkpoint-1200/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1200/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
checkpoint-1200/tokenizer_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
},
|
| 30 |
+
"additional_special_tokens": [],
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{{ '<s>' + system_message }}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ ' [INST] ' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
+
"legacy": true,
|
| 36 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 37 |
+
"pad_token": "</s>",
|
| 38 |
+
"padding_side": "right",
|
| 39 |
+
"sp_model_kwargs": {},
|
| 40 |
+
"spaces_between_special_tokens": false,
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 43 |
+
"unk_token": "<unk>",
|
| 44 |
+
"use_default_system_prompt": false
|
| 45 |
+
}
|