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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: gpt_image_clef2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# gpt_image_clef2 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.2611 |
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- Train Rouge: 0.4475 |
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- Validation Loss: 1.1578 |
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- Validation Rouge: 0.3944 |
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- Epoch: 25 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Rouge | Validation Loss | Validation Rouge | Epoch | |
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|:----------:|:-----------:|:---------------:|:----------------:|:-----:| |
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| 1.5255 | 0.4213 | 1.0251 | 0.4284 | 0 | |
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| 1.1805 | 0.4673 | 0.9779 | 0.4442 | 1 | |
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| 1.1394 | 0.4800 | 0.9561 | 0.4509 | 2 | |
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| 1.1168 | 0.4871 | 0.9369 | 0.4595 | 3 | |
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| 1.1036 | 0.4915 | 0.9314 | 0.4623 | 4 | |
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| 1.0971 | 0.4936 | 0.9283 | 0.4624 | 5 | |
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| 1.0946 | 0.4947 | 0.9315 | 0.4617 | 6 | |
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| 1.0962 | 0.4947 | 0.9323 | 0.4614 | 7 | |
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| 1.1001 | 0.4943 | 0.9405 | 0.4586 | 8 | |
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| 1.1065 | 0.4933 | 0.9501 | 0.4560 | 9 | |
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| 1.1146 | 0.4913 | 0.9614 | 0.4498 | 10 | |
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| 1.1240 | 0.4890 | 0.9726 | 0.4471 | 11 | |
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| 1.1341 | 0.4864 | 0.9852 | 0.4429 | 12 | |
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| 1.1451 | 0.4836 | 0.9982 | 0.4389 | 13 | |
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| 1.1564 | 0.4799 | 1.0160 | 0.4319 | 14 | |
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| 1.1680 | 0.4766 | 1.0273 | 0.4296 | 15 | |
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| 1.1793 | 0.4732 | 1.0405 | 0.4267 | 16 | |
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| 1.1901 | 0.4699 | 1.0556 | 0.4235 | 17 | |
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| 1.2007 | 0.4666 | 1.0692 | 0.4184 | 18 | |
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| 1.2108 | 0.4632 | 1.0796 | 0.4168 | 19 | |
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| 1.2207 | 0.4603 | 1.0998 | 0.4093 | 20 | |
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| 1.2299 | 0.4574 | 1.1135 | 0.4057 | 21 | |
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| 1.2386 | 0.4547 | 1.1297 | 0.4026 | 22 | |
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| 1.2469 | 0.4519 | 1.1396 | 0.4013 | 23 | |
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| 1.2540 | 0.4497 | 1.1467 | 0.3960 | 24 | |
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| 1.2611 | 0.4475 | 1.1578 | 0.3944 | 25 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- TensorFlow 2.10.1 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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