metadata
tags:
- generated_from_trainer
model-index:
- name: trocr-base-handwritten-OCR-handwriting_recognition_v2
results: []
trocr-base-handwritten-OCR-handwriting_recognition_v2
This model is a fine-tuned version of microsoft/trocr-base-handwritten on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2470
- Cer: 0.0360
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.4292 | 1.0 | 2500 | 0.4332 | 0.0679 |
| 0.2521 | 2.0 | 5000 | 0.2767 | 0.0483 |
| 0.1049 | 3.0 | 7500 | 0.2470 | 0.0360 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.12.1