metadata
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_keras_callback
model-index:
- name: EngTig/distilgpt2-finetuned-wikitext2
results: []
EngTig/distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.1453
- Validation Loss: 3.9197
- 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 3.7764 | 4.2318 | 0 |
| 3.6181 | 4.1041 | 1 |
| 3.5128 | 4.0419 | 2 |
| 3.4079 | 3.9863 | 3 |
| 3.3607 | 3.9618 | 4 |
| 3.2678 | 3.9271 | 5 |
| 3.2077 | 3.9197 | 6 |
| 3.1453 | 3.9197 | 7 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2