phobert-v2-finetuned-timi
This model is a fine-tuned version of nhanpv/phobert-v2-finetuned-timi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0430
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3847 | 1.0 | 129 | 1.1946 |
| 1.3808 | 2.0 | 258 | 1.1687 |
| 1.3896 | 3.0 | 387 | 1.1924 |
| 1.3737 | 4.0 | 516 | 1.1528 |
| 1.3285 | 5.0 | 645 | 1.0942 |
| 1.3244 | 6.0 | 774 | 1.1055 |
| 1.2762 | 7.0 | 903 | 1.0649 |
| 1.251 | 8.0 | 1032 | 1.0397 |
| 1.2462 | 9.0 | 1161 | 1.0636 |
| 1.2425 | 10.0 | 1290 | 1.0430 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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