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--- |
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base_model: microsoft/trocr-base-stage1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: TrOCR_0208-2 |
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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_0208-2 |
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This model is a fine-tuned version of [microsoft/trocr-base-stage1](https://huggingface.co/microsoft/trocr-base-stage1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2584 |
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- Cer: 0.1211 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 20 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.3873 | 1.71 | 500 | 1.6813 | 0.2361 | |
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| 0.8298 | 3.42 | 1000 | 1.7390 | 0.2441 | |
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| 0.5587 | 5.14 | 1500 | 1.5896 | 0.2090 | |
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| 0.376 | 6.85 | 2000 | 1.4717 | 0.1775 | |
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| 0.2847 | 8.56 | 2500 | 1.5528 | 0.1928 | |
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| 0.2376 | 10.27 | 3000 | 1.4412 | 0.1727 | |
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| 0.2101 | 11.99 | 3500 | 1.3770 | 0.1592 | |
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| 0.2551 | 13.7 | 4000 | 1.4311 | 0.1564 | |
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| 0.226 | 15.41 | 4500 | 1.2536 | 0.1337 | |
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| 0.1365 | 17.12 | 5000 | 1.2753 | 0.1272 | |
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| 0.14 | 18.84 | 5500 | 1.2584 | 0.1211 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.13.0 |
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- Tokenizers 0.15.0 |
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