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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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- generated_from_trainer |
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model-index: |
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- name: pgd_mistral_8bits_lr9e-05_alpha32_rk4_do0.2_wd2.0e-02 |
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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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# pgd_mistral_8bits_lr9e-05_alpha32_rk4_do0.2_wd2.0e-02 |
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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: 0.8425 |
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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: 9e-05 |
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- train_batch_size: 3 |
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- eval_batch_size: 3 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 12 |
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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: 20 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.6427 | 0.9778 | 22 | 1.6811 | |
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| 1.0715 | 2.0 | 45 | 0.9352 | |
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| 0.8713 | 2.9778 | 67 | 0.8724 | |
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| 0.7894 | 4.0 | 90 | 0.8532 | |
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| 0.8064 | 4.9778 | 112 | 0.8457 | |
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| 0.7582 | 6.0 | 135 | 0.8422 | |
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| 0.7828 | 6.9778 | 157 | 0.8422 | |
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| 0.7403 | 8.0 | 180 | 0.8403 | |
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| 0.7665 | 8.9778 | 202 | 0.8410 | |
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| 0.7214 | 9.7778 | 220 | 0.8425 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
