<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
wesbeaver/gpt2-finetuned-wikitext2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.9292
- Validation Loss: 3.0808
- Epoch: 3
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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.1}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 3.2753 | 3.1940 | 0 |
| 3.1337 | 3.1423 | 1 |
| 3.0253 | 3.1041 | 2 |
| 2.9292 | 3.0808 | 3 |
Framework versions
- Transformers 4.18.0
- TensorFlow 2.6.2
- Datasets 2.4.0
- Tokenizers 0.12.1
