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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: deneme |
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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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# deneme |
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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: 4.9458 |
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- Validation Loss: 6.8594 |
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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': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -958, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, '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 | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 9.6934 | 9.6704 | 0 | |
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| 9.4105 | 9.4160 | 1 | |
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| 9.1023 | 9.1460 | 2 | |
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| 8.7843 | 8.8812 | 3 | |
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| 8.4798 | 8.6399 | 4 | |
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| 8.2009 | 8.4204 | 5 | |
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| 7.9445 | 8.2215 | 6 | |
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| 7.7117 | 8.0412 | 7 | |
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| 7.4965 | 7.8807 | 8 | |
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| 7.2929 | 7.7610 | 9 | |
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| 7.1028 | 7.6524 | 10 | |
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| 6.9102 | 7.5430 | 11 | |
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| 6.7196 | 7.4545 | 12 | |
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| 6.5149 | 7.3501 | 13 | |
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| 6.3265 | 7.2721 | 14 | |
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| 6.1167 | 7.1747 | 15 | |
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| 5.9178 | 7.0857 | 16 | |
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| 5.7101 | 7.0159 | 17 | |
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| 5.5075 | 6.9416 | 18 | |
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| 5.2990 | 6.8977 | 19 | |
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| 5.0966 | 6.8594 | 20 | |
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| 4.9436 | 6.8594 | 21 | |
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| 4.9450 | 6.8594 | 22 | |
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| 4.9446 | 6.8594 | 23 | |
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| 4.9422 | 6.8594 | 24 | |
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| 4.9412 | 6.8594 | 25 | |
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| 4.9436 | 6.8594 | 26 | |
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| 4.9455 | 6.8594 | 27 | |
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| 4.9467 | 6.8594 | 28 | |
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| 4.9458 | 6.8594 | 29 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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