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--- |
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library_name: peft |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-v0.3 |
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model-index: |
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- name: Mistral_AAID_mixed_train_final_2 |
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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_AAID_mixed_train_final_2 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co./mistralai/Mistral-7B-v0.3) on the AAID_mixed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5355 |
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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: 0.0003 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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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: 0.03 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4441 | 0.2188 | 200 | 0.5355 | |
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| 0.2562 | 0.4375 | 400 | 0.6111 | |
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| 0.1736 | 0.6563 | 600 | 0.7390 | |
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| 0.0946 | 0.8750 | 800 | 0.8542 | |
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| 0.0477 | 1.0938 | 1000 | 1.0103 | |
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| 0.0275 | 1.3126 | 1200 | 1.1369 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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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 |
