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--- |
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license: mit |
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base_model: microsoft/git-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: git-base-naruto |
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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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# git-base-naruto |
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0279 |
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- Wer Score: 7.0134 |
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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-05 |
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- train_batch_size: 5 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 10 |
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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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- num_epochs: 50 |
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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 | Wer Score | |
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|:-------------:|:-------:|:----:|:---------------:|:---------:| |
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| 8.5536 | 2.2727 | 50 | 7.1184 | 52.625 | |
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| 6.2017 | 4.5455 | 100 | 5.0281 | 22.3527 | |
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| 4.1263 | 6.8182 | 150 | 2.9941 | 21.8616 | |
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| 2.2013 | 9.0909 | 200 | 1.2700 | 18.7321 | |
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| 0.7916 | 11.3636 | 250 | 0.3337 | 12.1607 | |
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| 0.1917 | 13.6364 | 300 | 0.0798 | 4.5357 | |
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| 0.0458 | 15.9091 | 350 | 0.0356 | 1.0 | |
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| 0.0142 | 18.1818 | 400 | 0.0278 | 7.25 | |
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| 0.0066 | 20.4545 | 450 | 0.0287 | 8.4196 | |
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| 0.0043 | 22.7273 | 500 | 0.0270 | 7.8795 | |
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| 0.0032 | 25.0 | 550 | 0.0272 | 7.2545 | |
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| 0.0027 | 27.2727 | 600 | 0.0273 | 7.0179 | |
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| 0.0023 | 29.5455 | 650 | 0.0271 | 7.2054 | |
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| 0.002 | 31.8182 | 700 | 0.0275 | 7.0580 | |
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| 0.0018 | 34.0909 | 750 | 0.0276 | 7.2589 | |
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| 0.0016 | 36.3636 | 800 | 0.0277 | 7.0312 | |
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| 0.0015 | 38.6364 | 850 | 0.0277 | 7.0759 | |
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| 0.0014 | 40.9091 | 900 | 0.0278 | 7.1071 | |
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| 0.0014 | 43.1818 | 950 | 0.0278 | 7.1161 | |
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| 0.0013 | 45.4545 | 1000 | 0.0279 | 6.9241 | |
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| 0.0013 | 47.7273 | 1050 | 0.0279 | 6.9911 | |
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| 0.0013 | 50.0 | 1100 | 0.0279 | 7.0134 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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