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: 2.3945
- Validation Loss: 4.0364
- Epoch: 15
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 |
|---|---|---|
| 2.9937 | 3.8775 | 0 |
| 2.9426 | 3.8763 | 1 |
| 2.8926 | 3.8593 | 2 |
| 2.8445 | 3.8982 | 3 |
| 2.8090 | 3.9044 | 4 |
| 2.7511 | 3.9337 | 5 |
| 2.7140 | 3.9265 | 6 |
| 2.6655 | 3.9483 | 7 |
| 2.6443 | 3.9490 | 8 |
| 2.6153 | 3.9458 | 9 |
| 2.5699 | 3.9660 | 10 |
| 2.5262 | 3.9897 | 11 |
| 2.5002 | 4.0219 | 12 |
| 2.4636 | 4.0540 | 13 |
| 2.4327 | 4.0224 | 14 |
| 2.3945 | 4.0364 | 15 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2