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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_0216 |
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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_0216 |
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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: 1.8095 |
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- Cer: 0.0608 |
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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: 10 |
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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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| 0.626 | 0.5 | 500 | 0.9106 | 0.1848 | |
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| 0.5456 | 1.0 | 1000 | 0.7220 | 0.1927 | |
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| 0.4588 | 1.5 | 1500 | 0.7064 | 0.1240 | |
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| 0.6771 | 2.0 | 2000 | 0.7207 | 0.2169 | |
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| 0.3778 | 2.5 | 2500 | 0.6689 | 0.1283 | |
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| 0.4543 | 3.0 | 3000 | 0.6833 | 0.3052 | |
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| 0.4428 | 3.5 | 3500 | 0.6604 | 0.0893 | |
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| 0.4899 | 4.0 | 4000 | 0.7024 | 0.0692 | |
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| 0.2548 | 4.5 | 4500 | 1.0137 | 0.1599 | |
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| 0.0851 | 5.0 | 5000 | 1.8095 | 0.0608 | |
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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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