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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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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: org_modelorg_model |
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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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# org_modelorg_model |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0772 |
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- F1 Micro: 0.5885 |
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- F1 Macro: 0.5884 |
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- F1 Weighted: 0.5884 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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- training_steps: 400 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | F1 Weighted | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:| |
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| 1.6909 | 0.0064 | 25 | 1.5440 | 0.5095 | 0.5089 | 0.5089 | |
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| 1.4631 | 0.0127 | 50 | 1.4130 | 0.5483 | 0.5458 | 0.5458 | |
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| 1.3764 | 0.0191 | 75 | 1.2988 | 0.5543 | 0.5543 | 0.5543 | |
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| 1.2402 | 0.0255 | 100 | 1.2464 | 0.5623 | 0.5621 | 0.5621 | |
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| 1.1982 | 0.0318 | 125 | 1.2415 | 0.5580 | 0.5544 | 0.5544 | |
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| 1.1759 | 0.0382 | 150 | 1.1822 | 0.5732 | 0.5728 | 0.5728 | |
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| 1.0769 | 0.0446 | 175 | 1.1590 | 0.5788 | 0.5787 | 0.5787 | |
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| 1.0388 | 0.0510 | 200 | 1.1416 | 0.5821 | 0.5820 | 0.5820 | |
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| 1.1786 | 0.0573 | 225 | 1.1273 | 0.5815 | 0.5806 | 0.5806 | |
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| 1.2269 | 0.0637 | 250 | 1.1233 | 0.5823 | 0.5798 | 0.5798 | |
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| 1.1746 | 0.0701 | 275 | 1.1105 | 0.5833 | 0.5819 | 0.5819 | |
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| 1.1455 | 0.0764 | 300 | 1.0927 | 0.5868 | 0.5864 | 0.5864 | |
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| 1.0494 | 0.0828 | 325 | 1.0905 | 0.5873 | 0.5867 | 0.5867 | |
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| 1.0199 | 0.0892 | 350 | 1.0853 | 0.5845 | 0.5836 | 0.5836 | |
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| 1.1086 | 0.0955 | 375 | 1.0789 | 0.5852 | 0.5849 | 0.5849 | |
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| 1.0726 | 0.1019 | 400 | 1.0772 | 0.5885 | 0.5884 | 0.5884 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu118 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
