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AnaniyaX/__tfvit-gpt2-chest-xray-captioning
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3103
- Train Rouge2 Precision: 0.0
- Train Rouge2 Recall: 0.0
- Train Rouge2 Fmeasure: 0.0
- Epoch: 9
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': 'RMSprop', 'learning_rate': 0.001, 'decay': 0.0, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
- training_precision: float32
Training results
| Train Loss | Train Rouge2 Precision | Train Rouge2 Recall | Train Rouge2 Fmeasure | Epoch |
|---|---|---|---|---|
| 4.6320 | 0.0 | 0.0 | 0.0 | 0 |
| 2.2503 | 0.0 | 0.0 | 0.0 | 1 |
| 1.3682 | 0.0 | 0.0 | 0.0 | 2 |
| 1.0248 | 0.0 | 0.0 | 0.0 | 3 |
| 0.8247 | 0.0 | 0.0 | 0.0 | 4 |
| 0.6773 | 0.0 | 0.0 | 0.0 | 5 |
| 0.5437 | 0.0 | 0.0 | 0.0 | 6 |
| 0.4559 | 0.0 | 0.0 | 0.0 | 7 |
| 0.3674 | 0.0 | 0.0 | 0.0 | 8 |
| 0.3103 | 0.0 | 0.0 | 0.0 | 9 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.8.0
- Datasets 2.13.1
- Tokenizers 0.13.3
