metadata
license: mit
base_model: vinai/phobert-base
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
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: 2.9580
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 | 1.1776 |
| 0.7473 | 2.0 | 694 | 1.2132 |
| 0.5222 | 3.0 | 1041 | 1.1805 |
| 0.5222 | 4.0 | 1388 | 1.3843 |
| 0.3822 | 5.0 | 1735 | 1.5071 |
| 0.2506 | 6.0 | 2082 | 1.6778 |
| 0.2506 | 7.0 | 2429 | 1.8481 |
| 0.1706 | 8.0 | 2776 | 2.0948 |
| 0.1146 | 9.0 | 3123 | 2.2835 |
| 0.1146 | 10.0 | 3470 | 2.3527 |
| 0.0985 | 11.0 | 3817 | 2.6191 |
| 0.0514 | 12.0 | 4164 | 2.6513 |
| 0.0387 | 13.0 | 4511 | 2.8331 |
| 0.0387 | 14.0 | 4858 | 2.9059 |
| 0.0345 | 15.0 | 5205 | 2.8839 |
| 0.0239 | 16.0 | 5552 | 2.9872 |
| 0.0239 | 17.0 | 5899 | 3.0006 |
| 0.011 | 18.0 | 6246 | 3.0611 |
| 0.0138 | 19.0 | 6593 | 3.0957 |
| 0.0138 | 20.0 | 6940 | 3.1291 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.4.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2