bert-base-thai-finetuned
This model is a fine-tuned version of monsoon-nlp/bert-base-thai on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4352
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1387 | 1.0 | 2086 | 3.7223 |
| 3.6354 | 2.0 | 4172 | 3.5595 |
| 3.5406 | 3.0 | 6258 | 3.5023 |
| 3.483 | 4.0 | 8344 | 3.4560 |
| 3.4546 | 5.0 | 10430 | 3.4424 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for nuttakitinta/bert-base-thai-finetuned
Base model
monsoon-nlp/bert-base-thai