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: 1.5672
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 347 | 1.6831 |
| 1.73 | 2.0 | 694 | 1.5771 |
| 1.579 | 3.0 | 1041 | 1.5432 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.4.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2