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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: norhand-hcr-beta1 |
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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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# norhand-hcr-beta1 |
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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: 1.4687 |
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- Cer: 0.0439 |
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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: 32 |
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- eval_batch_size: 1 |
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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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- lr_scheduler_warmup_steps: 2000 |
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- num_epochs: 10 |
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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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| 0.7606 | 0.71 | 5000 | 1.0489 | 0.1266 | |
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| 0.5971 | 1.43 | 10000 | 1.2096 | 0.1028 | |
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| 0.4448 | 2.14 | 15000 | 1.3738 | 0.0771 | |
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| 0.3919 | 2.85 | 20000 | 1.2733 | 0.0670 | |
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| 0.2806 | 3.56 | 25000 | 1.3048 | 0.0597 | |
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| 0.2055 | 4.28 | 30000 | 1.3568 | 0.0557 | |
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| 0.2486 | 4.99 | 35000 | 0.9717 | 0.0527 | |
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| 0.1631 | 5.7 | 40000 | 1.3159 | 0.0506 | |
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| 0.1159 | 6.41 | 45000 | 1.3730 | 0.0480 | |
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| 0.0605 | 7.13 | 50000 | 1.3399 | 0.0469 | |
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| 0.0626 | 7.84 | 55000 | 1.3642 | 0.0460 | |
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| 0.0532 | 8.55 | 60000 | 1.3870 | 0.0450 | |
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| 0.0177 | 9.26 | 65000 | 1.4912 | 0.0439 | |
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| 0.0308 | 9.98 | 70000 | 1.4687 | 0.0439 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.13.3 |
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