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README.md
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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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<!-- 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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tritran/vietnamese-news-summarization/runs/
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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
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It achieves the following results on the evaluation set:
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- Loss: 1.2588
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## Model description
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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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| 1.3064 | 0.0060 | 20 | 1.3050 |
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| 1.2108 | 0.0119 | 40 | 1.2739 |
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| 1.2685 | 0.0179 | 60 | 1.2623 |
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| 1.4879 | 0.0239 | 80 | 1.2558 |
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| 1.3216 | 0.0298 | 100 | 1.2588 |
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### Framework versions
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- PEFT 0.11.1
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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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model-index:
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- name: vietnamese-news-summarization-vistral-7b
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results: []
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tritran/vietnamese-news-summarization/runs/as3mgbsl)
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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 an unknown dataset.
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## Model description
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- lr_scheduler_warmup_steps: 0.03
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- training_steps: 100
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### Framework versions
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- PEFT 0.11.1
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