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gpt_image_clef1
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.1002
- Train Rouge: 0.4943
- Validation Loss: 0.9385
- Validation Rouge: 0.4581
- Epoch: 8
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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0005, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 2554800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.99, 'epsilon': 0.2, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Rouge | Validation Loss | Validation Rouge | Epoch |
|---|---|---|---|---|
| 1.5411 | 0.4201 | 1.0250 | 0.4297 | 0 |
| 1.1803 | 0.4674 | 0.9795 | 0.4437 | 1 |
| 1.1391 | 0.4801 | 0.9588 | 0.4523 | 2 |
| 1.1168 | 0.4869 | 0.9395 | 0.4590 | 3 |
| 1.1038 | 0.4912 | 0.9318 | 0.4613 | 4 |
| 1.0971 | 0.4934 | 0.9305 | 0.4611 | 5 |
| 1.0949 | 0.4945 | 0.9287 | 0.4621 | 6 |
| 1.0965 | 0.4948 | 0.9313 | 0.4605 | 7 |
| 1.1002 | 0.4943 | 0.9385 | 0.4581 | 8 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.10.1
- Datasets 2.11.0
- Tokenizers 0.13.3
