metadata
tags:
- vietnamese-model
- generated_from_trainer
model-index:
- name: nlp-vietnamese
results: []
nlp-vietnamese
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1229
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0814 | 1.0 | 125 | 1.7464 |
| 1.3908 | 2.0 | 250 | 1.3544 |
| 1.312 | 3.0 | 375 | 1.2367 |
| 1.1243 | 4.0 | 500 | 1.1627 |
| 1.0922 | 5.0 | 625 | 1.1229 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1