metadata
library_name: transformers
license: mit
base_model: vinai/bartpho-word
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine-tuning_BARTPho
results: []
fine-tuning_BARTPho
This model is a fine-tuned version of vinai/bartpho-word on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1876
- Accuracy: 0.014
- F1: 0.0011
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 3.7202 | 1.0 | 125 | 1.3840 | 0.016 | 0.0018 |
| 1.3287 | 2.0 | 250 | 1.2517 | 0.014 | 0.0011 |
| 1.2451 | 3.0 | 375 | 1.2197 | 0.016 | 0.0015 |
| 1.2059 | 4.0 | 500 | 1.2077 | 0.014 | 0.0011 |
| 1.105 | 5.0 | 625 | 1.2053 | 0.014 | 0.0011 |
| 1.1054 | 6.0 | 750 | 1.1893 | 0.018 | 0.0015 |
| 1.1207 | 7.0 | 875 | 1.1881 | 0.022 | 0.0045 |
| 1.1011 | 8.0 | 1000 | 1.1857 | 0.016 | 0.0025 |
| 1.0578 | 9.0 | 1125 | 1.1877 | 0.016 | 0.0031 |
| 1.0836 | 10.0 | 1250 | 1.1876 | 0.014 | 0.0011 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3