pd_cate
This model is a fine-tuned version of tangminhanh/pd_tg on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1397
- Accuracy: 0.5425
- F1: 0.6125
- Precision: 0.7033
- Recall: 0.5424
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: 64
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 108 | 0.4029 | 0.2922 | 0.2948 | 0.2981 | 0.2915 |
| No log | 2.0 | 216 | 0.2405 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 324 | 0.2119 | 0.0047 | 0.0092 | 1.0 | 0.0046 |
| No log | 4.0 | 432 | 0.1792 | 0.3516 | 0.4600 | 0.6681 | 0.3508 |
| 0.3163 | 5.0 | 540 | 0.1608 | 0.4179 | 0.5199 | 0.6904 | 0.4170 |
| 0.3163 | 6.0 | 648 | 0.1475 | 0.5099 | 0.5953 | 0.7083 | 0.5134 |
| 0.3163 | 7.0 | 756 | 0.1416 | 0.5180 | 0.6015 | 0.7170 | 0.5180 |
| 0.3163 | 8.0 | 864 | 0.1397 | 0.5425 | 0.6125 | 0.7033 | 0.5424 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1