metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: CS505-GPT_T3vsLabel2T5_CSI-PhoBERT
results: []
CS505-GPT_T3vsLabel2T5_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: 0.0002
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 | 332 | 0.1938 |
| 0.302 | 1.99 | 664 | 0.1052 |
| 0.302 | 2.99 | 996 | 0.0698 |
| 0.158 | 3.99 | 1328 | 0.0487 |
| 0.0811 | 4.98 | 1660 | 0.0182 |
| 0.0811 | 5.98 | 1992 | 0.0239 |
| 0.053 | 6.98 | 2324 | 0.0264 |
| 0.025 | 7.98 | 2656 | 0.0086 |
| 0.025 | 8.97 | 2988 | 0.0048 |
| 0.0135 | 9.97 | 3320 | 0.0035 |
| 0.0102 | 10.97 | 3652 | 0.0075 |
| 0.0102 | 11.96 | 3984 | 0.0027 |
| 0.0094 | 12.96 | 4316 | 0.0013 |
| 0.0057 | 13.96 | 4648 | 0.0005 |
| 0.0057 | 14.95 | 4980 | 0.0002 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2