| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: mistralai/Mistral-7B-Instruct-v0.3 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: mistral7BTextToText |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # mistral7BTextToText |
|
|
| This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2826 |
|
|
| ## 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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 4 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 50 |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.4076 | 0.4301 | 50 | 0.3830 | |
| | 0.3428 | 0.8602 | 100 | 0.3213 | |
| | 0.2873 | 1.2839 | 150 | 0.3017 | |
| | 0.2871 | 1.7140 | 200 | 0.2904 | |
| | 0.2538 | 2.1376 | 250 | 0.2851 | |
| | 0.2496 | 2.5677 | 300 | 0.2826 | |
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| ### Framework versions |
|
|
| - PEFT 0.15.2 |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
