metadata
license: mit
base_model: vinai/phobert-large
tags:
- generated_from_trainer
model-index:
- name: LVC_Phobert
results: []
LVC_Phobert
This model is a fine-tuned version of vinai/phobert-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0760
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2878 | 1.0 | 347 | 1.1734 |
| 0.9926 | 2.0 | 694 | 1.0603 |
| 0.7133 | 3.0 | 1041 | 1.0150 |
| 0.4261 | 4.0 | 1388 | 1.2528 |
| 0.357 | 5.0 | 1735 | 1.4177 |
| 0.1385 | 6.0 | 2082 | 1.8420 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.5.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2