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pminhyung12/gpt2-base-v0
This model is a fine-tuned version of gpt2 on the corpus_v1 dataset. It achieves the following results on the evaluation set:
- Train Loss: 5.1058
- Validation Loss: 6.2552
- Epoch: 7
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:
- optimizer: {'name': 'AdamW', 'weight_decay': 0.004, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: mixed_bfloat16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.9128 | 0.9515 | 0 |
| 0.6172 | 0.8965 | 1 |
| 0.5713 | 0.8763 | 2 |
| 1.2088 | 1.8300 | 3 |
| 3.6887 | 5.8700 | 4 |
| 2.8920 | 3.6422 | 5 |
| 3.8045 | 8.9555 | 6 |
| 5.1058 | 6.2552 | 7 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.12.0
- Datasets 2.9.0
- Tokenizers 0.13.2
