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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 |
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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 |
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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: 0.8231 |
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- Cer: 0.0842 |
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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: 3.0 |
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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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| 1.8364 | 0.68 | 200 | 1.5199 | 0.1926 | |
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| 1.3561 | 1.37 | 400 | 1.4427 | 0.1711 | |
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| 0.382 | 2.05 | 600 | 0.9931 | 0.1115 | |
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| 0.343 | 2.74 | 800 | 0.8231 | 0.0842 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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