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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: cot_method2test-mistral-7B_v0 |
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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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# cot_method2test-mistral-7B_v0 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7398 |
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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: 2.5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 5 |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.9073 | 2.67 | 10 | 1.4951 | |
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| 1.6109 | 5.33 | 20 | 1.4208 | |
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| 1.2815 | 8.0 | 30 | 1.3794 | |
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| 0.9683 | 10.67 | 40 | 1.3829 | |
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| 0.6975 | 13.33 | 50 | 1.4201 | |
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| 0.4513 | 16.0 | 60 | 1.4823 | |
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| 0.2964 | 18.67 | 70 | 1.5715 | |
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| 0.1858 | 21.33 | 80 | 1.6517 | |
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| 0.1355 | 24.0 | 90 | 1.7184 | |
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| 0.1086 | 26.67 | 100 | 1.7398 | |
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### Framework versions |
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- PEFT 0.7.2.dev0 |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
