metadata
library_name: transformers
base_model: NlpHUST/gpt2-vietnamese
tags:
- generated_from_trainer
model-index:
- name: vietnamese-poem-hustgpt2-lucbat
results: []
datasets:
- phamson02/vietnamese-poetry-corpus
vietnamese-poem-hustgpt2-lucbat
This model is a fine-tuned version of NlpHUST/gpt2-vietnamese on phamson02/vietnamese-poetry-corpus. It achieves the following results on the evaluation set:
- Loss: 3.7802
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: 4
- eval_batch_size: 4
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.878 | 1.0 | 17989 | 3.8761 |
| 3.7714 | 2.0 | 35978 | 3.7996 |
| 3.7267 | 3.0 | 53967 | 3.7802 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0