PhoBERT-train-aug_delete
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: 1.1218
- Accuracy: 0.7
- F1: 0.7072
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.8985 | 1.0 | 87 | 0.6898 | 0.73 | 0.7098 |
| 0.5689 | 2.0 | 174 | 0.6311 | 0.75 | 0.7475 |
| 0.3896 | 3.0 | 261 | 0.7331 | 0.69 | 0.6979 |
| 0.2764 | 4.0 | 348 | 0.7702 | 0.72 | 0.7278 |
| 0.2173 | 5.0 | 435 | 0.9108 | 0.71 | 0.7161 |
| 0.1418 | 6.0 | 522 | 1.0638 | 0.71 | 0.7194 |
| 0.1148 | 7.0 | 609 | 1.1550 | 0.7 | 0.7044 |
| 0.1121 | 8.0 | 696 | 1.1218 | 0.7 | 0.7072 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for ThuyNT03/PhoBERT-Final_VietNam-aug_delete
Base model
vinai/phobert-base-v2