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--- |
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library_name: transformers |
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base_model: microsoft/trocr-small-stage1 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: trocr-finetuned |
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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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# trocr-finetuned |
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This model is a fine-tuned version of [microsoft/trocr-small-stage1](https://huggingface.co/microsoft/trocr-small-stage1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 9.2627 |
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- Cer: 0.5872 |
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- Wer: 1.0264 |
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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: 4e-07 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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- seed: 42 |
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- optimizer: Use 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: 5 |
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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 | Cer | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 13.1378 | 1.0 | 50 | 9.7690 | 0.6655 | 1.2093 | |
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| 12.3944 | 2.0 | 100 | 9.4940 | 0.6319 | 1.1423 | |
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| 12.4749 | 3.0 | 150 | 9.3537 | 0.5940 | 1.0691 | |
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| 10.9977 | 4.0 | 200 | 9.2874 | 0.5884 | 1.0427 | |
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| 10.8077 | 5.0 | 250 | 9.2627 | 0.5872 | 1.0264 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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