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End of training

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README.md ADDED
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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_0208-1
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+ results: []
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+ ---
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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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+
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+ # TrOCR_0208-1
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+
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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: 0.8777
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+ - Cer: 0.0931
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.5571 | 0.68 | 200 | 1.6487 | 0.2024 |
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+ | 0.9405 | 1.37 | 400 | 1.2816 | 0.1666 |
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+ | 0.6927 | 2.05 | 600 | 1.0319 | 0.1199 |
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+ | 1.0794 | 2.74 | 800 | 0.8777 | 0.0931 |
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+
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+
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+ ### Framework versions
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+
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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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+ {
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