metadata
license: mit
base_model: vinai/phobert-base
tags:
- generated_from_trainer
model-index:
- name: DACN3_LVC
results: []
DACN3_LVC
This model is a fine-tuned version of vinai/phobert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6146
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 347 | 1.1922 |
| 1.3869 | 2.0 | 694 | 1.0903 |
| 0.893 | 3.0 | 1041 | 1.0290 |
| 0.893 | 4.0 | 1388 | 1.0825 |
| 0.5968 | 5.0 | 1735 | 1.2634 |
| 0.4001 | 6.0 | 2082 | 1.4108 |
| 0.4001 | 7.0 | 2429 | 1.5288 |
| 0.2505 | 8.0 | 2776 | 1.6623 |
| 0.1639 | 9.0 | 3123 | 1.8938 |
| 0.1639 | 10.0 | 3470 | 2.0609 |
| 0.1143 | 11.0 | 3817 | 2.2725 |
| 0.0739 | 12.0 | 4164 | 2.4275 |
| 0.0552 | 13.0 | 4511 | 2.4773 |
| 0.0552 | 14.0 | 4858 | 2.5629 |
| 0.0389 | 15.0 | 5205 | 2.6769 |
| 0.029 | 16.0 | 5552 | 2.7282 |
| 0.029 | 17.0 | 5899 | 2.7699 |
| 0.0176 | 18.0 | 6246 | 2.7834 |
| 0.0171 | 19.0 | 6593 | 2.8041 |
| 0.0171 | 20.0 | 6940 | 2.7942 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.5.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2