| license: mit | |
| tags: | |
| - generated_from_keras_callback | |
| base_model: gpt2 | |
| model-index: | |
| - name: MUmairAB/python-code-generator | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should | |
| probably proofread and complete it, then remove this comment. --> | |
| # MUmairAB/python-code-generator | |
| This model is a fine-tuned version of [gpt2](https://huggingface.co./gpt2) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Train Loss: 2.4439 | |
| - Validation Loss: 2.6055 | |
| - Epoch: 4 | |
| ## 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': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 20785, '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': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} | |
| - training_precision: float32 | |
| ### Training results | |
| | Train Loss | Validation Loss | Epoch | | |
| |:----------:|:---------------:|:-----:| | |
| | 2.4439 | 2.6055 | 0 | | |
| | 2.4438 | 2.6055 | 1 | | |
| | 2.4439 | 2.6055 | 2 | | |
| | 2.4437 | 2.6055 | 3 | | |
| | 2.4439 | 2.6055 | 4 | | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - TensorFlow 2.12.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.13.3 | |