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--- |
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library_name: transformers |
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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-yy |
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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-yy |
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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: 0.5227 |
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- Wer Score: 2.4121 |
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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: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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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| 3.6336 | 5.0 | 50 | 4.6676 | 1.2862 | |
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| 1.318 | 10.0 | 100 | 0.9472 | 0.9491 | |
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| 0.2607 | 15.0 | 150 | 0.4883 | 0.9379 | |
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| 0.1207 | 20.0 | 200 | 0.4908 | 0.9526 | |
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| 0.075 | 25.0 | 250 | 0.4996 | 1.2448 | |
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| 0.0458 | 30.0 | 300 | 0.5111 | 1.3698 | |
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| 0.0336 | 35.0 | 350 | 0.5164 | 2.1043 | |
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| 0.0272 | 40.0 | 400 | 0.5194 | 1.2397 | |
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| 0.0238 | 45.0 | 450 | 0.5231 | 2.6802 | |
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| 0.0216 | 50.0 | 500 | 0.5227 | 2.4121 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.2 |
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