phobert_notaugmentation
This model is a fine-tuned version of vinai/phobert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4768
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5387 | 1.0 | 992 | 1.1605 |
| 1.2971 | 2.0 | 1984 | 0.8465 |
| 0.976 | 3.0 | 2976 | 0.6289 |
| 0.7925 | 4.0 | 3968 | 0.5237 |
| 0.6846 | 5.0 | 4960 | 0.4768 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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