metadata
library_name: transformers
license: mit
base_model: microsoft/trocr-base-handwritten
tags:
- generated_from_trainer
model-index:
- name: khmer-trcor-06-07
results: []
khmer-trcor-06-07
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: 1.4072
- Cer: 1.2708
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 2.6027 | 1.0 | 421 | 2.4338 | 1.4956 |
| 2.2649 | 2.0 | 842 | 2.4139 | 1.5826 |
| 1.9528 | 3.0 | 1263 | 1.9032 | 1.0964 |
| 1.7595 | 4.0 | 1684 | 2.1433 | 1.6073 |
| 1.6215 | 5.0 | 2105 | 1.7936 | 1.5157 |
| 1.5155 | 6.0 | 2526 | 1.5710 | 1.4719 |
| 1.3982 | 7.0 | 2947 | 1.4586 | 1.3185 |
| 1.3115 | 8.0 | 3368 | 1.4665 | 1.3853 |
| 1.221 | 9.0 | 3789 | 1.3671 | 1.1767 |
| 1.1423 | 10.0 | 4210 | 1.4072 | 1.2708 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1