KLTN_CSI_PhoBERRT
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0032
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: 8
- seed: 41
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 369 | 0.1454 |
| 0.2396 | 2.0 | 738 | 0.0870 |
| 0.1364 | 3.0 | 1107 | 0.0467 |
| 0.1364 | 4.0 | 1476 | 0.0268 |
| 0.0751 | 5.0 | 1845 | 0.0173 |
| 0.0419 | 6.0 | 2214 | 0.0224 |
| 0.0226 | 7.0 | 2583 | 0.0129 |
| 0.0226 | 8.0 | 2952 | 0.0049 |
| 0.0108 | 9.0 | 3321 | 0.0033 |
| 0.0087 | 10.0 | 3690 | 0.0032 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for ThuyNT03/KLTN_CSI_PhoBERRT
Base model
vinai/phobert-base-v2