Commit
•
0755a16
1
Parent(s):
cffe154
Model save
Browse files- README.md +77 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +407 -0
README.md
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---
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Mistral-7B_task-3_120-samples_config-2_auto
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Mistral-7B_task-3_120-samples_config-2_auto
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5208
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 3.1892 | 0.9091 | 5 | 2.4894 |
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| 1.3236 | 2.0 | 11 | 0.7405 |
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| 0.4001 | 2.9091 | 16 | 0.4180 |
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| 0.3601 | 4.0 | 22 | 0.3182 |
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| 0.217 | 4.9091 | 27 | 0.2956 |
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| 0.1679 | 6.0 | 33 | 0.2813 |
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| 0.1291 | 6.9091 | 38 | 0.3133 |
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| 0.0786 | 8.0 | 44 | 0.3621 |
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| 0.0336 | 8.9091 | 49 | 0.4239 |
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| 0.0221 | 10.0 | 55 | 0.4524 |
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| 0.0153 | 10.9091 | 60 | 0.4673 |
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| 0.0094 | 12.0 | 66 | 0.4911 |
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| 0.0063 | 12.9091 | 71 | 0.5208 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f7aa013ad59d033d30e9d469471afd0a0cdd0843014d5a7fdbbe50ac586bb9c
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size 167832240
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all_results.json
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{
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"epoch": 12.909090909090908,
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"total_flos": 1.120265252676567e+17,
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"train_loss": 0.5012591263528546,
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"train_runtime": 4162.2804,
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"train_samples": 88,
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"train_samples_per_second": 1.057,
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"train_steps_per_second": 0.06
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}
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train_results.json
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{
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"epoch": 12.909090909090908,
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"total_flos": 1.120265252676567e+17,
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"train_loss": 0.5012591263528546,
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"train_runtime": 4162.2804,
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"train_samples": 88,
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"train_samples_per_second": 1.057,
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"train_steps_per_second": 0.06
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}
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trainer_state.json
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{
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"best_metric": 0.2812866270542145,
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| 3 |
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"best_model_checkpoint": "data/Mistral-7B_task-3_120-samples_config-2_auto/checkpoint-33",
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| 4 |
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"epoch": 12.909090909090908,
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| 5 |
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"eval_steps": 500,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
|
| 11 |
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{
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| 12 |
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"epoch": 0.18181818181818182,
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| 13 |
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"grad_norm": 21.392839431762695,
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| 14 |
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"learning_rate": 4.000000000000001e-06,
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| 15 |
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"loss": 4.1987,
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"step": 1
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},
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| 18 |
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{
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| 19 |
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"epoch": 0.36363636363636365,
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"learning_rate": 8.000000000000001e-06,
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"step": 2
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},
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| 25 |
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{
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"learning_rate": 1.6000000000000003e-05,
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},
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{
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"epoch": 0.9090909090909091,
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"eval_loss": 2.4893863201141357,
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"eval_runtime": 25.893,
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"eval_samples_per_second": 0.927,
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"eval_steps_per_second": 0.927,
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| 38 |
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"step": 5
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| 39 |
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},
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| 40 |
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{
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| 41 |
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"epoch": 1.0909090909090908,
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"grad_norm": 12.430584907531738,
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"learning_rate": 2.4e-05,
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"loss": 2.6253,
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"step": 6
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},
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| 47 |
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{
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"epoch": 1.4545454545454546,
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"grad_norm": 8.785200119018555,
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"learning_rate": 3.2000000000000005e-05,
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"loss": 1.9485,
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"step": 8
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