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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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datasets: |
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- scitldr |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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model-index: |
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- name: Mistral-Summarization |
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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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# Mistral Summarization |
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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 scitldr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1059 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.0732 | 0.1 | 200 | 2.1863 | |
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| 2.1324 | 0.2 | 400 | 2.1925 | |
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| 2.103 | 0.3 | 600 | 2.1876 | |
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| 2.0766 | 0.4 | 800 | 2.1737 | |
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| 2.0825 | 0.5 | 1000 | 2.1555 | |
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| 2.0731 | 0.6 | 1200 | 2.1465 | |
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| 2.0819 | 0.7 | 1400 | 2.1355 | |
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| 1.9802 | 0.8 | 1600 | 2.1223 | |
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| 2.0466 | 0.9 | 1800 | 2.1059 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
