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--- |
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license: afl-3.0 |
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base_model: Viet-Mistral/Vistral-7B-Chat |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: vistral-7B_finetuned_A100_3thMay |
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results: [] |
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library_name: peft |
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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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# vistral-7B_finetuned_A100_3thMay |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2325 |
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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: 4e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.8751 | 1.0 | 9961 | 0.7999 | |
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| 0.5978 | 2.0 | 19922 | 0.3976 | |
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| 0.4389 | 3.0 | 29883 | 0.2833 | |
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| 0.3505 | 4.0 | 39844 | 0.2442 | |
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| 0.3048 | 5.0 | 49805 | 0.2325 | |
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### Framework versions |
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- PEFT 0.4.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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