trocr-base-handwritten-iam-Final
This model is a fine-tuned version of microsoft/trocr-base-handwritten on Teklia/IAM-line dataset. It achieves the following results on the evaluation set:
- Loss: 1.2551
- Cer: 0.4517
- Wer: 0.5937
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
---|---|---|---|---|---|
1.995 | 0.6169 | 500 | 2.5889 | 0.5503 | 0.7422 |
1.0942 | 1.2332 | 1000 | 1.7821 | 0.5084 | 0.7079 |
0.7976 | 1.8501 | 1500 | 1.4544 | 0.4628 | 0.6171 |
0.3857 | 2.4664 | 2000 | 1.2551 | 0.4517 | 0.5937 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
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Base model
microsoft/trocr-base-handwritten