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pretrain-gpt2-large
This model is a fine-tuned version of NlpHUST/gpt2-vietnamese on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4155
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 70
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0875 | 13.05 | 500 | 2.6828 |
| 2.5739 | 26.1 | 1000 | 2.5363 |
| 2.4573 | 39.15 | 1500 | 2.4643 |
| 2.3962 | 52.2 | 2000 | 2.4294 |
| 2.3662 | 65.25 | 2500 | 2.4155 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
