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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_lr0.0002_alpha32_rk4_do0.1_wd1.0e-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_lr0.0002_alpha32_rk4_do0.1_wd1.0e-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: 0.7793 |
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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: 0.0002 |
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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: 10 |
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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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| 3.0296 | 0.9778 | 11 | 2.3415 | |
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| 1.8108 | 1.9556 | 22 | 1.1645 | |
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| 1.0071 | 2.9333 | 33 | 0.8704 | |
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| 0.7805 | 4.0 | 45 | 0.8074 | |
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| 0.7974 | 4.9778 | 56 | 0.7788 | |
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| 0.7645 | 5.9556 | 67 | 0.7678 | |
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| 0.7508 | 6.9333 | 78 | 0.7640 | |
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| 0.675 | 8.0 | 90 | 0.7635 | |
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| 0.7262 | 8.9778 | 101 | 0.7708 | |
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| 0.6817 | 9.7778 | 110 | 0.7793 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.43.4 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
