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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-Instruct-v0.2 |
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model-index: |
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- name: Mistral-7B-Instruct-v0.2-binary_base03 |
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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-Instruct-v0.2-binary_base03 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2790 |
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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: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.5198 | 0.04 | 50 | 0.6078 | |
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| 0.5143 | 0.08 | 100 | 0.4729 | |
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| 0.4187 | 0.12 | 150 | 0.3775 | |
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| 0.3533 | 0.16 | 200 | 0.3413 | |
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| 0.3344 | 0.2 | 250 | 0.3247 | |
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| 0.322 | 0.24 | 300 | 0.3184 | |
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| 0.3129 | 0.28 | 350 | 0.3106 | |
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| 0.3062 | 0.32 | 400 | 0.3032 | |
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| 0.2985 | 0.36 | 450 | 0.2989 | |
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| 0.301 | 0.4 | 500 | 0.2949 | |
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| 0.2934 | 0.44 | 550 | 0.2933 | |
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| 0.2921 | 0.48 | 600 | 0.2914 | |
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| 0.2874 | 0.52 | 650 | 0.2882 | |
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| 0.2863 | 0.56 | 700 | 0.2875 | |
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| 0.284 | 0.6 | 750 | 0.2841 | |
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| 0.2841 | 0.64 | 800 | 0.2829 | |
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| 0.2797 | 0.68 | 850 | 0.2818 | |
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| 0.2815 | 0.72 | 900 | 0.2804 | |
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| 0.2835 | 0.76 | 950 | 0.2790 | |
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| 0.2777 | 0.8 | 1000 | 0.2790 | |
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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 2.15.0 |
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- Tokenizers 0.15.0 |
