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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: Ashraf-kasem/custom_gpt2_frames_text |
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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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# Ashraf-kasem/custom_gpt2_frames_text |
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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: 1.3938 |
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- Validation Loss: 2.0834 |
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- Epoch: 29 |
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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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 188670, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 5.4252 | 4.4731 | 0 | |
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| 4.1781 | 3.6928 | 1 | |
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| 3.5744 | 3.2572 | 2 | |
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| 3.1856 | 2.9789 | 3 | |
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| 2.9095 | 2.7887 | 4 | |
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| 2.6999 | 2.6534 | 5 | |
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| 2.5334 | 2.5484 | 6 | |
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| 2.3969 | 2.4706 | 7 | |
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| 2.2826 | 2.4102 | 8 | |
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| 2.1842 | 2.3518 | 9 | |
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| 2.0988 | 2.3096 | 10 | |
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| 2.0236 | 2.2740 | 11 | |
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| 1.9569 | 2.2443 | 12 | |
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| 1.8960 | 2.2214 | 13 | |
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| 1.8411 | 2.1954 | 14 | |
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| 1.7913 | 2.1815 | 15 | |
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| 1.7457 | 2.1652 | 16 | |
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| 1.7034 | 2.1552 | 17 | |
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| 1.6648 | 2.1398 | 18 | |
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| 1.6288 | 2.1289 | 19 | |
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| 1.5955 | 2.1213 | 20 | |
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| 1.5643 | 2.1114 | 21 | |
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| 1.5359 | 2.1071 | 22 | |
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| 1.5094 | 2.0998 | 23 | |
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| 1.4846 | 2.0942 | 24 | |
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| 1.4622 | 2.0911 | 25 | |
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| 1.4420 | 2.0893 | 26 | |
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| 1.4233 | 2.0879 | 27 | |
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| 1.4074 | 2.0838 | 28 | |
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| 1.3938 | 2.0834 | 29 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- TensorFlow 2.9.0 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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