End of training
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README.md
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- sft
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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model-index:
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- name: news-summarization-finetuned-mistral-7b
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results: []
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# news-summarization-finetuned-mistral-7b
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on
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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 0.10.0
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- sft
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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datasets:
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- generator
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model-index:
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- name: news-summarization-finetuned-mistral-7b
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results: []
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# news-summarization-finetuned-mistral-7b
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0379
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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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| 2.0808 | 0.0189 | 20 | 2.1202 |
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| 2.1524 | 0.0378 | 40 | 2.0725 |
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| 2.0165 | 0.0567 | 60 | 2.0478 |
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| 2.047 | 0.0756 | 80 | 2.0444 |
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| 2.0404 | 0.0945 | 100 | 2.0379 |
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### Framework versions
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- PEFT 0.10.0
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