my_nt_MLM2
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8286
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: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|
| No log | 1.0 | 14 | 4.0141 |
| No log | 2.0 | 28 | 3.1115 |
| No log | 3.0 | 42 | 3.1909 |
| 3.3925 | 4.0 | 56 | 3.3228 |
| 3.3925 | 5.0 | 70 | 3.5439 |
| 3.3925 | 6.0 | 84 | 2.8747 |
| 3.3925 | 7.0 | 98 | 3.1902 |
| 3.1154 | 8.0 | 112 | 2.9571 |
| 3.1154 | 9.0 | 126 | 3.2781 |
| 3.1154 | 10.0 | 140 | 3.1975 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
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