metadata
base_model: microsoft/trocr-base-stage1
tags:
- generated_from_trainer
model-index:
- name: TrOCR_0216
results: []
TrOCR_0216
This model is a fine-tuned version of microsoft/trocr-base-stage1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8095
- Cer: 0.0608
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.626 | 0.5 | 500 | 0.9106 | 0.1848 |
| 0.5456 | 1.0 | 1000 | 0.7220 | 0.1927 |
| 0.4588 | 1.5 | 1500 | 0.7064 | 0.1240 |
| 0.6771 | 2.0 | 2000 | 0.7207 | 0.2169 |
| 0.3778 | 2.5 | 2500 | 0.6689 | 0.1283 |
| 0.4543 | 3.0 | 3000 | 0.6833 | 0.3052 |
| 0.4428 | 3.5 | 3500 | 0.6604 | 0.0893 |
| 0.4899 | 4.0 | 4000 | 0.7024 | 0.0692 |
| 0.2548 | 4.5 | 4500 | 1.0137 | 0.1599 |
| 0.0851 | 5.0 | 5000 | 1.8095 | 0.0608 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.13.0
- Tokenizers 0.15.0