Fine-tuned Mistral model on Viel-Lite Dataset
Browse files- README.md +202 -0
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- checkpoint-180/README.md +202 -0
- checkpoint-180/adapter_config.json +37 -0
- checkpoint-180/adapter_model.safetensors +3 -0
- checkpoint-180/optimizer.pt +3 -0
- checkpoint-180/rng_state.pth +3 -0
- checkpoint-180/scaler.pt +3 -0
- checkpoint-180/scheduler.pt +3 -0
- checkpoint-180/special_tokens_map.json +30 -0
- checkpoint-180/tokenizer.json +0 -0
- checkpoint-180/tokenizer.model +3 -0
- checkpoint-180/tokenizer_config.json +0 -0
- checkpoint-180/trainer_state.json +1294 -0
- checkpoint-180/training_args.bin +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.14.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.3-bnb-4bit",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 64,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 64,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"q_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"k_proj",
|
| 30 |
+
"down_proj",
|
| 31 |
+
"o_proj",
|
| 32 |
+
"up_proj"
|
| 33 |
+
],
|
| 34 |
+
"task_type": "CAUSAL_LM",
|
| 35 |
+
"use_dora": false,
|
| 36 |
+
"use_rslora": false
|
| 37 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd1ceae16e91729527682a1cdd29e00194d3f84f4fbb4a158c66c078c6b5013e
|
| 3 |
+
size 671149168
|
checkpoint-180/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.14.0
|
checkpoint-180/adapter_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.3-bnb-4bit",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 64,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 64,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"q_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"k_proj",
|
| 30 |
+
"down_proj",
|
| 31 |
+
"o_proj",
|
| 32 |
+
"up_proj"
|
| 33 |
+
],
|
| 34 |
+
"task_type": "CAUSAL_LM",
|
| 35 |
+
"use_dora": false,
|
| 36 |
+
"use_rslora": false
|
| 37 |
+
}
|
checkpoint-180/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd1ceae16e91729527682a1cdd29e00194d3f84f4fbb4a158c66c078c6b5013e
|
| 3 |
+
size 671149168
|
checkpoint-180/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0ad77a9b3b0e9a7b8c2f7cf7316a4815ca636c2417ffd261de8ef3f615321b0e
|
| 3 |
+
size 341314196
|
checkpoint-180/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:608fccb6c056ce88cdfd5355e6be2046f4d107a24a87c6b0d2c3b200ce6bb4ea
|
| 3 |
+
size 14244
|
checkpoint-180/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:894d0e48bf1444f129e12325905662a936cdeeb9fec3a46a0155b3b08f997b67
|
| 3 |
+
size 988
|
checkpoint-180/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9024c1b50ab9ddda3610cbc60929f3e57c4c124e3e86257a28298bf53e386ff6
|
| 3 |
+
size 1064
|
checkpoint-180/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": {
|
| 17 |
+
"content": "[control_768]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
checkpoint-180/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-180/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
checkpoint-180/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-180/trainer_state.json
ADDED
|
@@ -0,0 +1,1294 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.144,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 180,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0008,
|
| 14 |
+
"grad_norm": 1.2484313249588013,
|
| 15 |
+
"learning_rate": 4e-05,
|
| 16 |
+
"loss": 0.7118,
|
| 17 |
+
"step": 1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.0016,
|
| 21 |
+
"grad_norm": 1.2396782636642456,
|
| 22 |
+
"learning_rate": 8e-05,
|
| 23 |
+
"loss": 0.8189,
|
| 24 |
+
"step": 2
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.0024,
|
| 28 |
+
"grad_norm": 0.8842036128044128,
|
| 29 |
+
"learning_rate": 0.00012,
|
| 30 |
+
"loss": 0.5522,
|
| 31 |
+
"step": 3
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.0032,
|
| 35 |
+
"grad_norm": 0.9036827683448792,
|
| 36 |
+
"learning_rate": 0.00016,
|
| 37 |
+
"loss": 0.4924,
|
| 38 |
+
"step": 4
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.004,
|
| 42 |
+
"grad_norm": 1.2299714088439941,
|
| 43 |
+
"learning_rate": 0.0002,
|
| 44 |
+
"loss": 0.58,
|
| 45 |
+
"step": 5
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.0048,
|
| 49 |
+
"grad_norm": 1.3246244192123413,
|
| 50 |
+
"learning_rate": 0.00019885714285714287,
|
| 51 |
+
"loss": 0.4792,
|
| 52 |
+
"step": 6
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.0056,
|
| 56 |
+
"grad_norm": 1.540134072303772,
|
| 57 |
+
"learning_rate": 0.0001977142857142857,
|
| 58 |
+
"loss": 0.5264,
|
| 59 |
+
"step": 7
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.0064,
|
| 63 |
+
"grad_norm": 1.3656489849090576,
|
| 64 |
+
"learning_rate": 0.00019657142857142858,
|
| 65 |
+
"loss": 0.4013,
|
| 66 |
+
"step": 8
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.0072,
|
| 70 |
+
"grad_norm": 1.1679350137710571,
|
| 71 |
+
"learning_rate": 0.00019542857142857144,
|
| 72 |
+
"loss": 0.3793,
|
| 73 |
+
"step": 9
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.008,
|
| 77 |
+
"grad_norm": 1.1096352338790894,
|
| 78 |
+
"learning_rate": 0.0001942857142857143,
|
| 79 |
+
"loss": 0.4983,
|
| 80 |
+
"step": 10
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.0088,
|
| 84 |
+
"grad_norm": 1.0913289785385132,
|
| 85 |
+
"learning_rate": 0.00019314285714285717,
|
| 86 |
+
"loss": 0.4991,
|
| 87 |
+
"step": 11
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.0096,
|
| 91 |
+
"grad_norm": 1.1222748756408691,
|
| 92 |
+
"learning_rate": 0.000192,
|
| 93 |
+
"loss": 0.4747,
|
| 94 |
+
"step": 12
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.0104,
|
| 98 |
+
"grad_norm": 1.1606162786483765,
|
| 99 |
+
"learning_rate": 0.00019085714285714287,
|
| 100 |
+
"loss": 0.4826,
|
| 101 |
+
"step": 13
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.0112,
|
| 105 |
+
"grad_norm": 1.003353476524353,
|
| 106 |
+
"learning_rate": 0.00018971428571428573,
|
| 107 |
+
"loss": 0.4512,
|
| 108 |
+
"step": 14
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.012,
|
| 112 |
+
"grad_norm": 1.3158879280090332,
|
| 113 |
+
"learning_rate": 0.00018857142857142857,
|
| 114 |
+
"loss": 0.4743,
|
| 115 |
+
"step": 15
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.0128,
|
| 119 |
+
"grad_norm": 1.2782206535339355,
|
| 120 |
+
"learning_rate": 0.00018742857142857143,
|
| 121 |
+
"loss": 0.4539,
|
| 122 |
+
"step": 16
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.0136,
|
| 126 |
+
"grad_norm": 1.618283987045288,
|
| 127 |
+
"learning_rate": 0.0001862857142857143,
|
| 128 |
+
"loss": 0.4132,
|
| 129 |
+
"step": 17
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.0144,
|
| 133 |
+
"grad_norm": 1.3360353708267212,
|
| 134 |
+
"learning_rate": 0.00018514285714285716,
|
| 135 |
+
"loss": 0.5101,
|
| 136 |
+
"step": 18
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.0152,
|
| 140 |
+
"grad_norm": 1.3629347085952759,
|
| 141 |
+
"learning_rate": 0.00018400000000000003,
|
| 142 |
+
"loss": 0.531,
|
| 143 |
+
"step": 19
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.016,
|
| 147 |
+
"grad_norm": 2.1956729888916016,
|
| 148 |
+
"learning_rate": 0.00018285714285714286,
|
| 149 |
+
"loss": 0.4638,
|
| 150 |
+
"step": 20
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.0168,
|
| 154 |
+
"grad_norm": 1.1625367403030396,
|
| 155 |
+
"learning_rate": 0.00018171428571428573,
|
| 156 |
+
"loss": 0.4728,
|
| 157 |
+
"step": 21
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.0176,
|
| 161 |
+
"grad_norm": 1.1536197662353516,
|
| 162 |
+
"learning_rate": 0.00018057142857142857,
|
| 163 |
+
"loss": 0.4242,
|
| 164 |
+
"step": 22
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.0184,
|
| 168 |
+
"grad_norm": 1.5429607629776,
|
| 169 |
+
"learning_rate": 0.00017942857142857143,
|
| 170 |
+
"loss": 0.5295,
|
| 171 |
+
"step": 23
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.0192,
|
| 175 |
+
"grad_norm": 1.8186460733413696,
|
| 176 |
+
"learning_rate": 0.0001782857142857143,
|
| 177 |
+
"loss": 0.3945,
|
| 178 |
+
"step": 24
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.02,
|
| 182 |
+
"grad_norm": 1.7319910526275635,
|
| 183 |
+
"learning_rate": 0.00017714285714285713,
|
| 184 |
+
"loss": 0.4291,
|
| 185 |
+
"step": 25
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.0208,
|
| 189 |
+
"grad_norm": 1.2174618244171143,
|
| 190 |
+
"learning_rate": 0.00017600000000000002,
|
| 191 |
+
"loss": 0.4502,
|
| 192 |
+
"step": 26
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.0216,
|
| 196 |
+
"grad_norm": 1.2327603101730347,
|
| 197 |
+
"learning_rate": 0.0001748571428571429,
|
| 198 |
+
"loss": 0.4819,
|
| 199 |
+
"step": 27
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.0224,
|
| 203 |
+
"grad_norm": 1.1828025579452515,
|
| 204 |
+
"learning_rate": 0.00017371428571428572,
|
| 205 |
+
"loss": 0.4445,
|
| 206 |
+
"step": 28
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.0232,
|
| 210 |
+
"grad_norm": 1.302361011505127,
|
| 211 |
+
"learning_rate": 0.0001725714285714286,
|
| 212 |
+
"loss": 0.4674,
|
| 213 |
+
"step": 29
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.024,
|
| 217 |
+
"grad_norm": 1.158236026763916,
|
| 218 |
+
"learning_rate": 0.00017142857142857143,
|
| 219 |
+
"loss": 0.381,
|
| 220 |
+
"step": 30
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.0248,
|
| 224 |
+
"grad_norm": 1.1804059743881226,
|
| 225 |
+
"learning_rate": 0.0001702857142857143,
|
| 226 |
+
"loss": 0.4083,
|
| 227 |
+
"step": 31
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.0256,
|
| 231 |
+
"grad_norm": 1.4666764736175537,
|
| 232 |
+
"learning_rate": 0.00016914285714285715,
|
| 233 |
+
"loss": 0.496,
|
| 234 |
+
"step": 32
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.0264,
|
| 238 |
+
"grad_norm": 0.9403315782546997,
|
| 239 |
+
"learning_rate": 0.000168,
|
| 240 |
+
"loss": 0.401,
|
| 241 |
+
"step": 33
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.0272,
|
| 245 |
+
"grad_norm": 1.3564960956573486,
|
| 246 |
+
"learning_rate": 0.00016685714285714285,
|
| 247 |
+
"loss": 0.4214,
|
| 248 |
+
"step": 34
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.028,
|
| 252 |
+
"grad_norm": 1.104662299156189,
|
| 253 |
+
"learning_rate": 0.00016571428571428575,
|
| 254 |
+
"loss": 0.3714,
|
| 255 |
+
"step": 35
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.0288,
|
| 259 |
+
"grad_norm": 1.098190426826477,
|
| 260 |
+
"learning_rate": 0.00016457142857142858,
|
| 261 |
+
"loss": 0.3765,
|
| 262 |
+
"step": 36
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.0296,
|
| 266 |
+
"grad_norm": 1.1176928281784058,
|
| 267 |
+
"learning_rate": 0.00016342857142857145,
|
| 268 |
+
"loss": 0.449,
|
| 269 |
+
"step": 37
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.0304,
|
| 273 |
+
"grad_norm": 1.014857530593872,
|
| 274 |
+
"learning_rate": 0.00016228571428571428,
|
| 275 |
+
"loss": 0.3733,
|
| 276 |
+
"step": 38
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.0312,
|
| 280 |
+
"grad_norm": 0.9619799256324768,
|
| 281 |
+
"learning_rate": 0.00016114285714285715,
|
| 282 |
+
"loss": 0.383,
|
| 283 |
+
"step": 39
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.032,
|
| 287 |
+
"grad_norm": 1.2253310680389404,
|
| 288 |
+
"learning_rate": 0.00016,
|
| 289 |
+
"loss": 0.4304,
|
| 290 |
+
"step": 40
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.0328,
|
| 294 |
+
"grad_norm": 1.2873166799545288,
|
| 295 |
+
"learning_rate": 0.00015885714285714285,
|
| 296 |
+
"loss": 0.4529,
|
| 297 |
+
"step": 41
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.0336,
|
| 301 |
+
"grad_norm": 1.3297463655471802,
|
| 302 |
+
"learning_rate": 0.00015771428571428571,
|
| 303 |
+
"loss": 0.4423,
|
| 304 |
+
"step": 42
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.0344,
|
| 308 |
+
"grad_norm": 1.1202378273010254,
|
| 309 |
+
"learning_rate": 0.00015657142857142858,
|
| 310 |
+
"loss": 0.4976,
|
| 311 |
+
"step": 43
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.0352,
|
| 315 |
+
"grad_norm": 1.1365331411361694,
|
| 316 |
+
"learning_rate": 0.00015542857142857144,
|
| 317 |
+
"loss": 0.3866,
|
| 318 |
+
"step": 44
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.036,
|
| 322 |
+
"grad_norm": 1.1100164651870728,
|
| 323 |
+
"learning_rate": 0.0001542857142857143,
|
| 324 |
+
"loss": 0.4384,
|
| 325 |
+
"step": 45
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.0368,
|
| 329 |
+
"grad_norm": 1.0640782117843628,
|
| 330 |
+
"learning_rate": 0.00015314285714285714,
|
| 331 |
+
"loss": 0.3889,
|
| 332 |
+
"step": 46
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.0376,
|
| 336 |
+
"grad_norm": 1.3084195852279663,
|
| 337 |
+
"learning_rate": 0.000152,
|
| 338 |
+
"loss": 0.4482,
|
| 339 |
+
"step": 47
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.0384,
|
| 343 |
+
"grad_norm": 1.3079781532287598,
|
| 344 |
+
"learning_rate": 0.00015085714285714287,
|
| 345 |
+
"loss": 0.4958,
|
| 346 |
+
"step": 48
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.0392,
|
| 350 |
+
"grad_norm": 1.1769342422485352,
|
| 351 |
+
"learning_rate": 0.0001497142857142857,
|
| 352 |
+
"loss": 0.4159,
|
| 353 |
+
"step": 49
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.04,
|
| 357 |
+
"grad_norm": 1.0382602214813232,
|
| 358 |
+
"learning_rate": 0.00014857142857142857,
|
| 359 |
+
"loss": 0.4193,
|
| 360 |
+
"step": 50
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.0408,
|
| 364 |
+
"grad_norm": 1.0692741870880127,
|
| 365 |
+
"learning_rate": 0.00014742857142857144,
|
| 366 |
+
"loss": 0.4265,
|
| 367 |
+
"step": 51
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.0416,
|
| 371 |
+
"grad_norm": 0.9739915728569031,
|
| 372 |
+
"learning_rate": 0.0001462857142857143,
|
| 373 |
+
"loss": 0.3902,
|
| 374 |
+
"step": 52
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.0424,
|
| 378 |
+
"grad_norm": 1.0809895992279053,
|
| 379 |
+
"learning_rate": 0.00014514285714285717,
|
| 380 |
+
"loss": 0.4059,
|
| 381 |
+
"step": 53
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.0432,
|
| 385 |
+
"grad_norm": 1.1480313539505005,
|
| 386 |
+
"learning_rate": 0.000144,
|
| 387 |
+
"loss": 0.4432,
|
| 388 |
+
"step": 54
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.044,
|
| 392 |
+
"grad_norm": 0.8420342803001404,
|
| 393 |
+
"learning_rate": 0.00014285714285714287,
|
| 394 |
+
"loss": 0.3317,
|
| 395 |
+
"step": 55
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.0448,
|
| 399 |
+
"grad_norm": 0.8640209436416626,
|
| 400 |
+
"learning_rate": 0.0001417142857142857,
|
| 401 |
+
"loss": 0.3639,
|
| 402 |
+
"step": 56
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.0456,
|
| 406 |
+
"grad_norm": 1.0063021183013916,
|
| 407 |
+
"learning_rate": 0.00014057142857142857,
|
| 408 |
+
"loss": 0.3659,
|
| 409 |
+
"step": 57
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.0464,
|
| 413 |
+
"grad_norm": 0.9292585253715515,
|
| 414 |
+
"learning_rate": 0.00013942857142857143,
|
| 415 |
+
"loss": 0.3588,
|
| 416 |
+
"step": 58
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.0472,
|
| 420 |
+
"grad_norm": 0.9295415282249451,
|
| 421 |
+
"learning_rate": 0.0001382857142857143,
|
| 422 |
+
"loss": 0.3516,
|
| 423 |
+
"step": 59
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.048,
|
| 427 |
+
"grad_norm": 1.1771010160446167,
|
| 428 |
+
"learning_rate": 0.00013714285714285716,
|
| 429 |
+
"loss": 0.3753,
|
| 430 |
+
"step": 60
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.0488,
|
| 434 |
+
"grad_norm": 1.0638577938079834,
|
| 435 |
+
"learning_rate": 0.00013600000000000003,
|
| 436 |
+
"loss": 0.3609,
|
| 437 |
+
"step": 61
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.0496,
|
| 441 |
+
"grad_norm": 1.1870827674865723,
|
| 442 |
+
"learning_rate": 0.00013485714285714286,
|
| 443 |
+
"loss": 0.4136,
|
| 444 |
+
"step": 62
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.0504,
|
| 448 |
+
"grad_norm": 1.2225092649459839,
|
| 449 |
+
"learning_rate": 0.00013371428571428573,
|
| 450 |
+
"loss": 0.3917,
|
| 451 |
+
"step": 63
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.0512,
|
| 455 |
+
"grad_norm": 1.169294834136963,
|
| 456 |
+
"learning_rate": 0.00013257142857142856,
|
| 457 |
+
"loss": 0.381,
|
| 458 |
+
"step": 64
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.052,
|
| 462 |
+
"grad_norm": 0.9767704010009766,
|
| 463 |
+
"learning_rate": 0.00013142857142857143,
|
| 464 |
+
"loss": 0.3635,
|
| 465 |
+
"step": 65
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.0528,
|
| 469 |
+
"grad_norm": 1.1561055183410645,
|
| 470 |
+
"learning_rate": 0.0001302857142857143,
|
| 471 |
+
"loss": 0.3723,
|
| 472 |
+
"step": 66
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.0536,
|
| 476 |
+
"grad_norm": 1.2369543313980103,
|
| 477 |
+
"learning_rate": 0.00012914285714285713,
|
| 478 |
+
"loss": 0.4142,
|
| 479 |
+
"step": 67
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.0544,
|
| 483 |
+
"grad_norm": 1.3053923845291138,
|
| 484 |
+
"learning_rate": 0.00012800000000000002,
|
| 485 |
+
"loss": 0.3437,
|
| 486 |
+
"step": 68
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.0552,
|
| 490 |
+
"grad_norm": 1.0821707248687744,
|
| 491 |
+
"learning_rate": 0.00012685714285714286,
|
| 492 |
+
"loss": 0.3765,
|
| 493 |
+
"step": 69
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.056,
|
| 497 |
+
"grad_norm": 1.3041565418243408,
|
| 498 |
+
"learning_rate": 0.00012571428571428572,
|
| 499 |
+
"loss": 0.4846,
|
| 500 |
+
"step": 70
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.0568,
|
| 504 |
+
"grad_norm": 1.1836012601852417,
|
| 505 |
+
"learning_rate": 0.0001245714285714286,
|
| 506 |
+
"loss": 0.3651,
|
| 507 |
+
"step": 71
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.0576,
|
| 511 |
+
"grad_norm": 1.1629185676574707,
|
| 512 |
+
"learning_rate": 0.00012342857142857142,
|
| 513 |
+
"loss": 0.3126,
|
| 514 |
+
"step": 72
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.0584,
|
| 518 |
+
"grad_norm": 1.2542935609817505,
|
| 519 |
+
"learning_rate": 0.0001222857142857143,
|
| 520 |
+
"loss": 0.3796,
|
| 521 |
+
"step": 73
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.0592,
|
| 525 |
+
"grad_norm": 1.2257918119430542,
|
| 526 |
+
"learning_rate": 0.00012114285714285715,
|
| 527 |
+
"loss": 0.3752,
|
| 528 |
+
"step": 74
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.06,
|
| 532 |
+
"grad_norm": 1.0555886030197144,
|
| 533 |
+
"learning_rate": 0.00012,
|
| 534 |
+
"loss": 0.3954,
|
| 535 |
+
"step": 75
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.0608,
|
| 539 |
+
"grad_norm": 1.230891227722168,
|
| 540 |
+
"learning_rate": 0.00011885714285714287,
|
| 541 |
+
"loss": 0.3875,
|
| 542 |
+
"step": 76
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.0616,
|
| 546 |
+
"grad_norm": 0.8854696154594421,
|
| 547 |
+
"learning_rate": 0.0001177142857142857,
|
| 548 |
+
"loss": 0.3118,
|
| 549 |
+
"step": 77
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.0624,
|
| 553 |
+
"grad_norm": 1.0647600889205933,
|
| 554 |
+
"learning_rate": 0.00011657142857142858,
|
| 555 |
+
"loss": 0.3555,
|
| 556 |
+
"step": 78
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.0632,
|
| 560 |
+
"grad_norm": 0.9846012592315674,
|
| 561 |
+
"learning_rate": 0.00011542857142857145,
|
| 562 |
+
"loss": 0.3608,
|
| 563 |
+
"step": 79
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.064,
|
| 567 |
+
"grad_norm": 1.286117434501648,
|
| 568 |
+
"learning_rate": 0.00011428571428571428,
|
| 569 |
+
"loss": 0.3681,
|
| 570 |
+
"step": 80
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.0648,
|
| 574 |
+
"grad_norm": 0.9961950182914734,
|
| 575 |
+
"learning_rate": 0.00011314285714285715,
|
| 576 |
+
"loss": 0.3476,
|
| 577 |
+
"step": 81
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.0656,
|
| 581 |
+
"grad_norm": 0.9044762849807739,
|
| 582 |
+
"learning_rate": 0.00011200000000000001,
|
| 583 |
+
"loss": 0.3652,
|
| 584 |
+
"step": 82
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.0664,
|
| 588 |
+
"grad_norm": 1.3212488889694214,
|
| 589 |
+
"learning_rate": 0.00011085714285714286,
|
| 590 |
+
"loss": 0.371,
|
| 591 |
+
"step": 83
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.0672,
|
| 595 |
+
"grad_norm": 1.1521120071411133,
|
| 596 |
+
"learning_rate": 0.00010971428571428573,
|
| 597 |
+
"loss": 0.3659,
|
| 598 |
+
"step": 84
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.068,
|
| 602 |
+
"grad_norm": 0.9962939620018005,
|
| 603 |
+
"learning_rate": 0.00010857142857142856,
|
| 604 |
+
"loss": 0.3525,
|
| 605 |
+
"step": 85
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.0688,
|
| 609 |
+
"grad_norm": 0.939199686050415,
|
| 610 |
+
"learning_rate": 0.00010742857142857143,
|
| 611 |
+
"loss": 0.3164,
|
| 612 |
+
"step": 86
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.0696,
|
| 616 |
+
"grad_norm": 1.098573088645935,
|
| 617 |
+
"learning_rate": 0.0001062857142857143,
|
| 618 |
+
"loss": 0.3656,
|
| 619 |
+
"step": 87
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.0704,
|
| 623 |
+
"grad_norm": 1.000960350036621,
|
| 624 |
+
"learning_rate": 0.00010514285714285714,
|
| 625 |
+
"loss": 0.3685,
|
| 626 |
+
"step": 88
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.0712,
|
| 630 |
+
"grad_norm": 0.980912446975708,
|
| 631 |
+
"learning_rate": 0.00010400000000000001,
|
| 632 |
+
"loss": 0.3632,
|
| 633 |
+
"step": 89
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.072,
|
| 637 |
+
"grad_norm": 1.2877452373504639,
|
| 638 |
+
"learning_rate": 0.00010285714285714286,
|
| 639 |
+
"loss": 0.4223,
|
| 640 |
+
"step": 90
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.0728,
|
| 644 |
+
"grad_norm": 1.1124482154846191,
|
| 645 |
+
"learning_rate": 0.00010171428571428572,
|
| 646 |
+
"loss": 0.3475,
|
| 647 |
+
"step": 91
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.0736,
|
| 651 |
+
"grad_norm": 1.0587921142578125,
|
| 652 |
+
"learning_rate": 0.00010057142857142859,
|
| 653 |
+
"loss": 0.3612,
|
| 654 |
+
"step": 92
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.0744,
|
| 658 |
+
"grad_norm": 0.9964851140975952,
|
| 659 |
+
"learning_rate": 9.942857142857144e-05,
|
| 660 |
+
"loss": 0.3435,
|
| 661 |
+
"step": 93
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.0752,
|
| 665 |
+
"grad_norm": 1.0694661140441895,
|
| 666 |
+
"learning_rate": 9.828571428571429e-05,
|
| 667 |
+
"loss": 0.3709,
|
| 668 |
+
"step": 94
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.076,
|
| 672 |
+
"grad_norm": 1.0262457132339478,
|
| 673 |
+
"learning_rate": 9.714285714285715e-05,
|
| 674 |
+
"loss": 0.3496,
|
| 675 |
+
"step": 95
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.0768,
|
| 679 |
+
"grad_norm": 0.9541298151016235,
|
| 680 |
+
"learning_rate": 9.6e-05,
|
| 681 |
+
"loss": 0.3491,
|
| 682 |
+
"step": 96
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.0776,
|
| 686 |
+
"grad_norm": 1.0212255716323853,
|
| 687 |
+
"learning_rate": 9.485714285714287e-05,
|
| 688 |
+
"loss": 0.3474,
|
| 689 |
+
"step": 97
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.0784,
|
| 693 |
+
"grad_norm": 0.992710292339325,
|
| 694 |
+
"learning_rate": 9.371428571428572e-05,
|
| 695 |
+
"loss": 0.3331,
|
| 696 |
+
"step": 98
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.0792,
|
| 700 |
+
"grad_norm": 1.0837984085083008,
|
| 701 |
+
"learning_rate": 9.257142857142858e-05,
|
| 702 |
+
"loss": 0.5021,
|
| 703 |
+
"step": 99
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.08,
|
| 707 |
+
"grad_norm": 1.1747627258300781,
|
| 708 |
+
"learning_rate": 9.142857142857143e-05,
|
| 709 |
+
"loss": 0.3499,
|
| 710 |
+
"step": 100
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.0808,
|
| 714 |
+
"grad_norm": 0.9934831261634827,
|
| 715 |
+
"learning_rate": 9.028571428571428e-05,
|
| 716 |
+
"loss": 0.3632,
|
| 717 |
+
"step": 101
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.0816,
|
| 721 |
+
"grad_norm": 0.9274324178695679,
|
| 722 |
+
"learning_rate": 8.914285714285715e-05,
|
| 723 |
+
"loss": 0.3291,
|
| 724 |
+
"step": 102
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.0824,
|
| 728 |
+
"grad_norm": 1.0825073719024658,
|
| 729 |
+
"learning_rate": 8.800000000000001e-05,
|
| 730 |
+
"loss": 0.3972,
|
| 731 |
+
"step": 103
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.0832,
|
| 735 |
+
"grad_norm": 0.9639647603034973,
|
| 736 |
+
"learning_rate": 8.685714285714286e-05,
|
| 737 |
+
"loss": 0.3747,
|
| 738 |
+
"step": 104
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.084,
|
| 742 |
+
"grad_norm": 1.336667776107788,
|
| 743 |
+
"learning_rate": 8.571428571428571e-05,
|
| 744 |
+
"loss": 0.3836,
|
| 745 |
+
"step": 105
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.0848,
|
| 749 |
+
"grad_norm": 1.1072027683258057,
|
| 750 |
+
"learning_rate": 8.457142857142858e-05,
|
| 751 |
+
"loss": 0.3405,
|
| 752 |
+
"step": 106
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.0856,
|
| 756 |
+
"grad_norm": 1.1694585084915161,
|
| 757 |
+
"learning_rate": 8.342857142857143e-05,
|
| 758 |
+
"loss": 0.3752,
|
| 759 |
+
"step": 107
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.0864,
|
| 763 |
+
"grad_norm": 1.0039108991622925,
|
| 764 |
+
"learning_rate": 8.228571428571429e-05,
|
| 765 |
+
"loss": 0.3464,
|
| 766 |
+
"step": 108
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.0872,
|
| 770 |
+
"grad_norm": 0.9793558716773987,
|
| 771 |
+
"learning_rate": 8.114285714285714e-05,
|
| 772 |
+
"loss": 0.3062,
|
| 773 |
+
"step": 109
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.088,
|
| 777 |
+
"grad_norm": 0.8974325060844421,
|
| 778 |
+
"learning_rate": 8e-05,
|
| 779 |
+
"loss": 0.3015,
|
| 780 |
+
"step": 110
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.0888,
|
| 784 |
+
"grad_norm": 1.0261926651000977,
|
| 785 |
+
"learning_rate": 7.885714285714286e-05,
|
| 786 |
+
"loss": 0.3834,
|
| 787 |
+
"step": 111
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.0896,
|
| 791 |
+
"grad_norm": 1.844468116760254,
|
| 792 |
+
"learning_rate": 7.771428571428572e-05,
|
| 793 |
+
"loss": 0.4882,
|
| 794 |
+
"step": 112
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.0904,
|
| 798 |
+
"grad_norm": 0.9161112904548645,
|
| 799 |
+
"learning_rate": 7.657142857142857e-05,
|
| 800 |
+
"loss": 0.3179,
|
| 801 |
+
"step": 113
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.0912,
|
| 805 |
+
"grad_norm": 1.3449184894561768,
|
| 806 |
+
"learning_rate": 7.542857142857144e-05,
|
| 807 |
+
"loss": 0.4077,
|
| 808 |
+
"step": 114
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.092,
|
| 812 |
+
"grad_norm": 0.9990420341491699,
|
| 813 |
+
"learning_rate": 7.428571428571429e-05,
|
| 814 |
+
"loss": 0.3093,
|
| 815 |
+
"step": 115
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.0928,
|
| 819 |
+
"grad_norm": 1.0407809019088745,
|
| 820 |
+
"learning_rate": 7.314285714285715e-05,
|
| 821 |
+
"loss": 0.3575,
|
| 822 |
+
"step": 116
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.0936,
|
| 826 |
+
"grad_norm": 1.1811689138412476,
|
| 827 |
+
"learning_rate": 7.2e-05,
|
| 828 |
+
"loss": 0.4108,
|
| 829 |
+
"step": 117
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.0944,
|
| 833 |
+
"grad_norm": 1.0623583793640137,
|
| 834 |
+
"learning_rate": 7.085714285714285e-05,
|
| 835 |
+
"loss": 0.3481,
|
| 836 |
+
"step": 118
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.0952,
|
| 840 |
+
"grad_norm": 1.0132906436920166,
|
| 841 |
+
"learning_rate": 6.971428571428572e-05,
|
| 842 |
+
"loss": 0.3489,
|
| 843 |
+
"step": 119
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.096,
|
| 847 |
+
"grad_norm": 0.7905811667442322,
|
| 848 |
+
"learning_rate": 6.857142857142858e-05,
|
| 849 |
+
"loss": 0.285,
|
| 850 |
+
"step": 120
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.0968,
|
| 854 |
+
"grad_norm": 1.0692896842956543,
|
| 855 |
+
"learning_rate": 6.742857142857143e-05,
|
| 856 |
+
"loss": 0.3983,
|
| 857 |
+
"step": 121
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.0976,
|
| 861 |
+
"grad_norm": 1.1936224699020386,
|
| 862 |
+
"learning_rate": 6.628571428571428e-05,
|
| 863 |
+
"loss": 0.3634,
|
| 864 |
+
"step": 122
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.0984,
|
| 868 |
+
"grad_norm": 1.1843299865722656,
|
| 869 |
+
"learning_rate": 6.514285714285715e-05,
|
| 870 |
+
"loss": 0.3461,
|
| 871 |
+
"step": 123
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.0992,
|
| 875 |
+
"grad_norm": 0.8762491941452026,
|
| 876 |
+
"learning_rate": 6.400000000000001e-05,
|
| 877 |
+
"loss": 0.2921,
|
| 878 |
+
"step": 124
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.1,
|
| 882 |
+
"grad_norm": 0.8600658178329468,
|
| 883 |
+
"learning_rate": 6.285714285714286e-05,
|
| 884 |
+
"loss": 0.2707,
|
| 885 |
+
"step": 125
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.1008,
|
| 889 |
+
"grad_norm": 1.1771011352539062,
|
| 890 |
+
"learning_rate": 6.171428571428571e-05,
|
| 891 |
+
"loss": 0.3786,
|
| 892 |
+
"step": 126
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.1016,
|
| 896 |
+
"grad_norm": 1.2326810359954834,
|
| 897 |
+
"learning_rate": 6.0571428571428576e-05,
|
| 898 |
+
"loss": 0.4223,
|
| 899 |
+
"step": 127
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.1024,
|
| 903 |
+
"grad_norm": 0.9957399964332581,
|
| 904 |
+
"learning_rate": 5.9428571428571434e-05,
|
| 905 |
+
"loss": 0.3816,
|
| 906 |
+
"step": 128
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.1032,
|
| 910 |
+
"grad_norm": 1.1350103616714478,
|
| 911 |
+
"learning_rate": 5.828571428571429e-05,
|
| 912 |
+
"loss": 0.3738,
|
| 913 |
+
"step": 129
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.104,
|
| 917 |
+
"grad_norm": 0.9324225187301636,
|
| 918 |
+
"learning_rate": 5.714285714285714e-05,
|
| 919 |
+
"loss": 0.3371,
|
| 920 |
+
"step": 130
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.1048,
|
| 924 |
+
"grad_norm": 1.0233099460601807,
|
| 925 |
+
"learning_rate": 5.6000000000000006e-05,
|
| 926 |
+
"loss": 0.356,
|
| 927 |
+
"step": 131
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.1056,
|
| 931 |
+
"grad_norm": 0.9429035782814026,
|
| 932 |
+
"learning_rate": 5.485714285714286e-05,
|
| 933 |
+
"loss": 0.3153,
|
| 934 |
+
"step": 132
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.1064,
|
| 938 |
+
"grad_norm": 0.9844772219657898,
|
| 939 |
+
"learning_rate": 5.3714285714285714e-05,
|
| 940 |
+
"loss": 0.3266,
|
| 941 |
+
"step": 133
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.1072,
|
| 945 |
+
"grad_norm": 0.8643121123313904,
|
| 946 |
+
"learning_rate": 5.257142857142857e-05,
|
| 947 |
+
"loss": 0.2885,
|
| 948 |
+
"step": 134
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.108,
|
| 952 |
+
"grad_norm": 1.1424559354782104,
|
| 953 |
+
"learning_rate": 5.142857142857143e-05,
|
| 954 |
+
"loss": 0.3934,
|
| 955 |
+
"step": 135
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.1088,
|
| 959 |
+
"grad_norm": 0.8285444378852844,
|
| 960 |
+
"learning_rate": 5.028571428571429e-05,
|
| 961 |
+
"loss": 0.2926,
|
| 962 |
+
"step": 136
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.1096,
|
| 966 |
+
"grad_norm": 0.9021345376968384,
|
| 967 |
+
"learning_rate": 4.9142857142857144e-05,
|
| 968 |
+
"loss": 0.3096,
|
| 969 |
+
"step": 137
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.1104,
|
| 973 |
+
"grad_norm": 0.8790440559387207,
|
| 974 |
+
"learning_rate": 4.8e-05,
|
| 975 |
+
"loss": 0.3336,
|
| 976 |
+
"step": 138
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.1112,
|
| 980 |
+
"grad_norm": 0.8108084201812744,
|
| 981 |
+
"learning_rate": 4.685714285714286e-05,
|
| 982 |
+
"loss": 0.289,
|
| 983 |
+
"step": 139
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.112,
|
| 987 |
+
"grad_norm": 0.9260637164115906,
|
| 988 |
+
"learning_rate": 4.5714285714285716e-05,
|
| 989 |
+
"loss": 0.4126,
|
| 990 |
+
"step": 140
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.1128,
|
| 994 |
+
"grad_norm": 0.9265069365501404,
|
| 995 |
+
"learning_rate": 4.4571428571428574e-05,
|
| 996 |
+
"loss": 0.3178,
|
| 997 |
+
"step": 141
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.1136,
|
| 1001 |
+
"grad_norm": 1.2468631267547607,
|
| 1002 |
+
"learning_rate": 4.342857142857143e-05,
|
| 1003 |
+
"loss": 0.3889,
|
| 1004 |
+
"step": 142
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.1144,
|
| 1008 |
+
"grad_norm": 0.8827513456344604,
|
| 1009 |
+
"learning_rate": 4.228571428571429e-05,
|
| 1010 |
+
"loss": 0.3165,
|
| 1011 |
+
"step": 143
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.1152,
|
| 1015 |
+
"grad_norm": 1.069765329360962,
|
| 1016 |
+
"learning_rate": 4.1142857142857146e-05,
|
| 1017 |
+
"loss": 0.4032,
|
| 1018 |
+
"step": 144
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.116,
|
| 1022 |
+
"grad_norm": 0.9694308042526245,
|
| 1023 |
+
"learning_rate": 4e-05,
|
| 1024 |
+
"loss": 0.3199,
|
| 1025 |
+
"step": 145
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.1168,
|
| 1029 |
+
"grad_norm": 0.9222254753112793,
|
| 1030 |
+
"learning_rate": 3.885714285714286e-05,
|
| 1031 |
+
"loss": 0.3042,
|
| 1032 |
+
"step": 146
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.1176,
|
| 1036 |
+
"grad_norm": 0.9769037365913391,
|
| 1037 |
+
"learning_rate": 3.771428571428572e-05,
|
| 1038 |
+
"loss": 0.3338,
|
| 1039 |
+
"step": 147
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.1184,
|
| 1043 |
+
"grad_norm": 0.9615337252616882,
|
| 1044 |
+
"learning_rate": 3.6571428571428576e-05,
|
| 1045 |
+
"loss": 0.3822,
|
| 1046 |
+
"step": 148
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.1192,
|
| 1050 |
+
"grad_norm": 0.8975436091423035,
|
| 1051 |
+
"learning_rate": 3.5428571428571426e-05,
|
| 1052 |
+
"loss": 0.3066,
|
| 1053 |
+
"step": 149
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.12,
|
| 1057 |
+
"grad_norm": 1.0323967933654785,
|
| 1058 |
+
"learning_rate": 3.428571428571429e-05,
|
| 1059 |
+
"loss": 0.3446,
|
| 1060 |
+
"step": 150
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.1208,
|
| 1064 |
+
"grad_norm": 0.7756757736206055,
|
| 1065 |
+
"learning_rate": 3.314285714285714e-05,
|
| 1066 |
+
"loss": 0.2556,
|
| 1067 |
+
"step": 151
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.1216,
|
| 1071 |
+
"grad_norm": 1.119676947593689,
|
| 1072 |
+
"learning_rate": 3.2000000000000005e-05,
|
| 1073 |
+
"loss": 0.3492,
|
| 1074 |
+
"step": 152
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.1224,
|
| 1078 |
+
"grad_norm": 1.0270119905471802,
|
| 1079 |
+
"learning_rate": 3.0857142857142856e-05,
|
| 1080 |
+
"loss": 0.3593,
|
| 1081 |
+
"step": 153
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.1232,
|
| 1085 |
+
"grad_norm": 0.7868067026138306,
|
| 1086 |
+
"learning_rate": 2.9714285714285717e-05,
|
| 1087 |
+
"loss": 0.2695,
|
| 1088 |
+
"step": 154
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.124,
|
| 1092 |
+
"grad_norm": 1.1581284999847412,
|
| 1093 |
+
"learning_rate": 2.857142857142857e-05,
|
| 1094 |
+
"loss": 0.3769,
|
| 1095 |
+
"step": 155
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.1248,
|
| 1099 |
+
"grad_norm": 0.9818435311317444,
|
| 1100 |
+
"learning_rate": 2.742857142857143e-05,
|
| 1101 |
+
"loss": 0.3319,
|
| 1102 |
+
"step": 156
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.1256,
|
| 1106 |
+
"grad_norm": 1.6817810535430908,
|
| 1107 |
+
"learning_rate": 2.6285714285714286e-05,
|
| 1108 |
+
"loss": 0.4218,
|
| 1109 |
+
"step": 157
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.1264,
|
| 1113 |
+
"grad_norm": 0.9001001119613647,
|
| 1114 |
+
"learning_rate": 2.5142857142857147e-05,
|
| 1115 |
+
"loss": 0.2972,
|
| 1116 |
+
"step": 158
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.1272,
|
| 1120 |
+
"grad_norm": 1.030470848083496,
|
| 1121 |
+
"learning_rate": 2.4e-05,
|
| 1122 |
+
"loss": 0.3308,
|
| 1123 |
+
"step": 159
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.128,
|
| 1127 |
+
"grad_norm": 0.9055750370025635,
|
| 1128 |
+
"learning_rate": 2.2857142857142858e-05,
|
| 1129 |
+
"loss": 0.3625,
|
| 1130 |
+
"step": 160
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.1288,
|
| 1134 |
+
"grad_norm": 0.8893150091171265,
|
| 1135 |
+
"learning_rate": 2.1714285714285715e-05,
|
| 1136 |
+
"loss": 0.3002,
|
| 1137 |
+
"step": 161
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.1296,
|
| 1141 |
+
"grad_norm": 0.8902642130851746,
|
| 1142 |
+
"learning_rate": 2.0571428571428573e-05,
|
| 1143 |
+
"loss": 0.2854,
|
| 1144 |
+
"step": 162
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.1304,
|
| 1148 |
+
"grad_norm": 0.9507644772529602,
|
| 1149 |
+
"learning_rate": 1.942857142857143e-05,
|
| 1150 |
+
"loss": 0.3117,
|
| 1151 |
+
"step": 163
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.1312,
|
| 1155 |
+
"grad_norm": 0.9474930763244629,
|
| 1156 |
+
"learning_rate": 1.8285714285714288e-05,
|
| 1157 |
+
"loss": 0.3149,
|
| 1158 |
+
"step": 164
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.132,
|
| 1162 |
+
"grad_norm": 1.1699720621109009,
|
| 1163 |
+
"learning_rate": 1.7142857142857145e-05,
|
| 1164 |
+
"loss": 0.3471,
|
| 1165 |
+
"step": 165
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.1328,
|
| 1169 |
+
"grad_norm": 0.9667317271232605,
|
| 1170 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 1171 |
+
"loss": 0.3164,
|
| 1172 |
+
"step": 166
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.1336,
|
| 1176 |
+
"grad_norm": 1.0271855592727661,
|
| 1177 |
+
"learning_rate": 1.4857142857142858e-05,
|
| 1178 |
+
"loss": 0.327,
|
| 1179 |
+
"step": 167
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.1344,
|
| 1183 |
+
"grad_norm": 1.0459516048431396,
|
| 1184 |
+
"learning_rate": 1.3714285714285716e-05,
|
| 1185 |
+
"loss": 0.3333,
|
| 1186 |
+
"step": 168
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.1352,
|
| 1190 |
+
"grad_norm": 0.9808986783027649,
|
| 1191 |
+
"learning_rate": 1.2571428571428573e-05,
|
| 1192 |
+
"loss": 0.2996,
|
| 1193 |
+
"step": 169
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.136,
|
| 1197 |
+
"grad_norm": 0.9472062587738037,
|
| 1198 |
+
"learning_rate": 1.1428571428571429e-05,
|
| 1199 |
+
"loss": 0.289,
|
| 1200 |
+
"step": 170
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.1368,
|
| 1204 |
+
"grad_norm": 1.0804734230041504,
|
| 1205 |
+
"learning_rate": 1.0285714285714286e-05,
|
| 1206 |
+
"loss": 0.3353,
|
| 1207 |
+
"step": 171
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.1376,
|
| 1211 |
+
"grad_norm": 0.9845679402351379,
|
| 1212 |
+
"learning_rate": 9.142857142857144e-06,
|
| 1213 |
+
"loss": 0.352,
|
| 1214 |
+
"step": 172
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.1384,
|
| 1218 |
+
"grad_norm": 1.3011351823806763,
|
| 1219 |
+
"learning_rate": 8.000000000000001e-06,
|
| 1220 |
+
"loss": 0.4186,
|
| 1221 |
+
"step": 173
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.1392,
|
| 1225 |
+
"grad_norm": 1.0187007188796997,
|
| 1226 |
+
"learning_rate": 6.857142857142858e-06,
|
| 1227 |
+
"loss": 0.3409,
|
| 1228 |
+
"step": 174
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.14,
|
| 1232 |
+
"grad_norm": 1.0254411697387695,
|
| 1233 |
+
"learning_rate": 5.7142857142857145e-06,
|
| 1234 |
+
"loss": 0.3577,
|
| 1235 |
+
"step": 175
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.1408,
|
| 1239 |
+
"grad_norm": 1.2106192111968994,
|
| 1240 |
+
"learning_rate": 4.571428571428572e-06,
|
| 1241 |
+
"loss": 0.3982,
|
| 1242 |
+
"step": 176
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.1416,
|
| 1246 |
+
"grad_norm": 1.1773263216018677,
|
| 1247 |
+
"learning_rate": 3.428571428571429e-06,
|
| 1248 |
+
"loss": 0.4192,
|
| 1249 |
+
"step": 177
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.1424,
|
| 1253 |
+
"grad_norm": 1.0779730081558228,
|
| 1254 |
+
"learning_rate": 2.285714285714286e-06,
|
| 1255 |
+
"loss": 0.371,
|
| 1256 |
+
"step": 178
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.1432,
|
| 1260 |
+
"grad_norm": 1.0007537603378296,
|
| 1261 |
+
"learning_rate": 1.142857142857143e-06,
|
| 1262 |
+
"loss": 0.402,
|
| 1263 |
+
"step": 179
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.144,
|
| 1267 |
+
"grad_norm": 0.9963799715042114,
|
| 1268 |
+
"learning_rate": 0.0,
|
| 1269 |
+
"loss": 0.4271,
|
| 1270 |
+
"step": 180
|
| 1271 |
+
}
|
| 1272 |
+
],
|
| 1273 |
+
"logging_steps": 1,
|
| 1274 |
+
"max_steps": 180,
|
| 1275 |
+
"num_input_tokens_seen": 0,
|
| 1276 |
+
"num_train_epochs": 1,
|
| 1277 |
+
"save_steps": 500,
|
| 1278 |
+
"stateful_callbacks": {
|
| 1279 |
+
"TrainerControl": {
|
| 1280 |
+
"args": {
|
| 1281 |
+
"should_epoch_stop": false,
|
| 1282 |
+
"should_evaluate": false,
|
| 1283 |
+
"should_log": false,
|
| 1284 |
+
"should_save": true,
|
| 1285 |
+
"should_training_stop": true
|
| 1286 |
+
},
|
| 1287 |
+
"attributes": {}
|
| 1288 |
+
}
|
| 1289 |
+
},
|
| 1290 |
+
"total_flos": 2.5709329524916224e+16,
|
| 1291 |
+
"train_batch_size": 2,
|
| 1292 |
+
"trial_name": null,
|
| 1293 |
+
"trial_params": null
|
| 1294 |
+
}
|
checkpoint-180/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b3ce913d8bc05c56e47a40b880b5b7e58b488777322d590faaba63f85b18db8
|
| 3 |
+
size 5624
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "<|im_end|>",
|
| 4 |
+
"pad_token": "[control_768]",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
| 3 |
+
size 587404
|
tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|