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output
This model is a fine-tuned version of microsoft/trocr-large-handwritten on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2610
- Wer: 0.5593
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0289 | 0.2561 | 500 | 2.4179 | 0.5862 |
| 2.7336 | 0.5122 | 1000 | 2.2610 | 0.5593 |
Framework versions
- PEFT 0.11.1
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
microsoft/trocr-large-handwritten