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NEW_OCR_bert-base-en-th-cased
This model is a fine-tuned version of Geotrend/bert-base-en-th-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0103
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0519 | 1.0 | 5351 | 0.0141 |
| 0.0131 | 2.0 | 10702 | 0.0116 |
| 0.0105 | 3.0 | 16053 | 0.0105 |
| 0.0087 | 4.0 | 21404 | 0.0102 |
| 0.0074 | 5.0 | 26755 | 0.0103 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.12.1+cu113
- Datasets 1.17.0
- Tokenizers 0.10.3
