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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_All_data |
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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_All_data |
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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: 1.4491 |
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- Cer: 0.3676 |
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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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| 0.8013 | 0.05 | 500 | 0.8621 | 0.1267 | |
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| 1.0882 | 0.09 | 1000 | 0.8068 | 0.1353 | |
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| 0.5746 | 0.14 | 1500 | 0.7315 | 0.0899 | |
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| 0.5403 | 0.18 | 2000 | 0.7111 | 0.2276 | |
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| 1.2505 | 0.23 | 2500 | 0.6538 | 0.1042 | |
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| 0.7987 | 0.27 | 3000 | 0.6687 | 0.1228 | |
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| 0.3878 | 0.32 | 3500 | 0.6745 | 0.0879 | |
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| 0.4788 | 0.36 | 4000 | 0.7084 | 0.0781 | |
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| 0.449 | 0.41 | 4500 | 1.4491 | 0.3676 | |
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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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