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--- |
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license: afl-3.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: Viet-Mistral/Vistral-7B-Chat |
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datasets: |
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- generator |
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model-index: |
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- name: vietnamese-news-summarization-vistral-7b |
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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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# vietnamese-news-summarization-vistral-7b |
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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 the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8576 |
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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: 2e-06 |
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- train_batch_size: 4 |
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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: constant |
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- lr_scheduler_warmup_steps: 0.03 |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.0431 | 0.0060 | 20 | 2.0914 | |
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| 2.0513 | 0.0119 | 40 | 2.0405 | |
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| 2.0366 | 0.0179 | 60 | 1.9899 | |
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| 1.946 | 0.0238 | 80 | 1.9301 | |
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| 1.9324 | 0.0298 | 100 | 1.8576 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.16.0 |
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- Tokenizers 0.19.1 |
