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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: 0.0529 |
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- Wer Score: 1.4091 |
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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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| 7.3586 | 3.7037 | 50 | 4.5383 | 8.8030 | |
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| 2.3507 | 7.4074 | 100 | 0.4544 | 0.4697 | |
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| 0.1281 | 11.1111 | 150 | 0.0543 | 0.5152 | |
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| 0.0161 | 14.8148 | 200 | 0.0491 | 0.4545 | |
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| 0.0115 | 18.5185 | 250 | 0.0501 | 0.4394 | |
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| 0.0099 | 22.2222 | 300 | 0.0528 | 0.4697 | |
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| 0.0085 | 25.9259 | 350 | 0.0536 | 0.4697 | |
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| 0.0075 | 29.6296 | 400 | 0.0532 | 0.4848 | |
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| 0.0068 | 33.3333 | 450 | 0.0520 | 0.4697 | |
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| 0.0061 | 37.0370 | 500 | 0.0528 | 0.6818 | |
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| 0.0054 | 40.7407 | 550 | 0.0530 | 0.8030 | |
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| 0.0044 | 44.4444 | 600 | 0.0535 | 1.2121 | |
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| 0.0038 | 48.1481 | 650 | 0.0529 | 1.4091 | |
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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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