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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: 0.0400 |
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- Wer Score: 0.3529 |
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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: 5e-05 |
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- train_batch_size: 2 |
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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: 4 |
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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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| 7.3756 | 5.8824 | 50 | 4.6183 | 7.9118 | |
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| 2.5329 | 11.7647 | 100 | 0.6340 | 7.0 | |
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| 0.199 | 17.6471 | 150 | 0.0438 | 0.7941 | |
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| 0.0155 | 23.5294 | 200 | 0.0390 | 0.8529 | |
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| 0.0051 | 29.4118 | 250 | 0.0385 | 0.3529 | |
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| 0.0025 | 35.2941 | 300 | 0.0392 | 0.3235 | |
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| 0.0018 | 41.1765 | 350 | 0.0397 | 0.3529 | |
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| 0.0016 | 47.0588 | 400 | 0.0400 | 0.3529 | |
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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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