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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-Instruct-v0.3 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Mistral_Ch_Text_Grand |
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results: [] |
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datasets: |
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- chaymaemerhrioui/autre771 |
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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_Ch_Text_Grand |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4386 |
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## Model description |
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The model convert a user input into a detailed technical description |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 3 |
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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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| 0.9051 | 0.2886 | 50 | 0.8378 | |
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| 0.6498 | 0.5772 | 100 | 0.6354 | |
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| 0.559 | 0.8658 | 150 | 0.5632 | |
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| 0.4766 | 1.1501 | 200 | 0.5298 | |
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| 0.4575 | 1.4387 | 250 | 0.4946 | |
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| 0.4517 | 1.7273 | 300 | 0.4729 | |
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| 0.4278 | 2.0115 | 350 | 0.4606 | |
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| 0.4048 | 2.3001 | 400 | 0.4517 | |
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| 0.4137 | 2.5887 | 450 | 0.4427 | |
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| 0.3779 | 2.8773 | 500 | 0.4386 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.14.4 |
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- Tokenizers 0.21.1 |
