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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: 0.0613 |
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- Wer Score: 4.6462 |
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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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| 7.3247 | 3.7037 | 50 | 4.4756 | 6.1692 | |
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| 2.2782 | 7.4074 | 100 | 0.4117 | 0.4308 | |
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| 0.1182 | 11.1111 | 150 | 0.0433 | 0.4462 | |
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| 0.0162 | 14.8148 | 200 | 0.0483 | 0.5231 | |
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| 0.0105 | 18.5185 | 250 | 0.0527 | 0.5231 | |
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| 0.0085 | 22.2222 | 300 | 0.0548 | 0.4769 | |
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| 0.007 | 25.9259 | 350 | 0.0578 | 0.8923 | |
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| 0.006 | 29.6296 | 400 | 0.0599 | 0.8462 | |
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| 0.0051 | 33.3333 | 450 | 0.0598 | 6.0 | |
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| 0.004 | 37.0370 | 500 | 0.0608 | 5.5538 | |
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| 0.0035 | 40.7407 | 550 | 0.0606 | 7.7077 | |
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| 0.0028 | 44.4444 | 600 | 0.0611 | 5.4308 | |
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| 0.0023 | 48.1481 | 650 | 0.0613 | 4.6462 | |
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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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