metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: CS505-L2T_AP2_filter0_CSI-PhoBERT
results: []
CS505-L2T_AP2_filter0_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: 0.0016
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 | 319 | 0.1698 |
| 0.2821 | 1.99 | 638 | 0.1067 |
| 0.2821 | 2.99 | 957 | 0.0762 |
| 0.1568 | 3.99 | 1276 | 0.0882 |
| 0.0782 | 4.98 | 1595 | 0.0396 |
| 0.0782 | 5.98 | 1914 | 0.0129 |
| 0.041 | 6.98 | 2233 | 0.0120 |
| 0.021 | 7.97 | 2552 | 0.0099 |
| 0.021 | 8.97 | 2871 | 0.0160 |
| 0.0115 | 9.97 | 3190 | 0.0069 |
| 0.0173 | 10.97 | 3509 | 0.0054 |
| 0.0173 | 11.96 | 3828 | 0.0048 |
| 0.0096 | 12.96 | 4147 | 0.0021 |
| 0.0096 | 13.96 | 4466 | 0.0036 |
| 0.0075 | 14.95 | 4785 | 0.0016 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2