metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: CS505-L2T_AP2_filter1_CSI-PhoBERT
results: []
CS505-L2T_AP2_filter1_CSI-PhoBERT
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: 0.0019
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 318 | 0.1545 |
| 0.2771 | 1.99 | 636 | 0.1782 |
| 0.2771 | 2.99 | 954 | 0.0712 |
| 0.1442 | 3.99 | 1272 | 0.0415 |
| 0.0749 | 4.98 | 1590 | 0.0250 |
| 0.0749 | 5.98 | 1908 | 0.0213 |
| 0.0475 | 6.98 | 2226 | 0.0119 |
| 0.0273 | 7.97 | 2544 | 0.0101 |
| 0.0273 | 8.97 | 2862 | 0.0137 |
| 0.0186 | 9.97 | 3180 | 0.0060 |
| 0.0186 | 10.97 | 3498 | 0.0038 |
| 0.0122 | 11.96 | 3816 | 0.0042 |
| 0.0082 | 12.96 | 4134 | 0.0093 |
| 0.0082 | 13.96 | 4452 | 0.0021 |
| 0.0063 | 14.95 | 4770 | 0.0019 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2