| --- |
| library_name: transformers |
| license: afl-3.0 |
| base_model: Viet-Mistral/Vistral-7B-Chat |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: lavy-Instruct_finding_full |
| 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. --> |
|
|
| # lavy-Instruct_finding_full |
|
|
| This model is a fine-tuned version of [Viet-Mistral/Vistral-7B-Chat](https://huggingface.co/Viet-Mistral/Vistral-7B-Chat) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3111 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 35 |
| - eval_batch_size: 35 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 7 |
| - total_train_batch_size: 245 |
| - total_eval_batch_size: 245 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.03 |
| - num_epochs: 20 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-------:|:----:|:---------------:| |
| | 0.0791 | 16.6667 | 300 | 0.2963 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.51.3 |
| - Pytorch 2.8.0.dev20250507+cu128 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
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|
