| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: ghdi/imbd-reviews-sample |
| | 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. --> |
| |
|
| | # ghdi/imbd-reviews-sample |
| |
|
| | 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: 5.9326 |
| | - Validation Loss: 6.3691 |
| | - Epoch: 19 |
| |
|
| | ## 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': -887, '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: mixed_float16 |
| | |
| | ### Training results |
| | |
| | | Train Loss | Validation Loss | Epoch | |
| | |:----------:|:---------------:|:-----:| |
| | | 7.4384 | 7.2924 | 0 | |
| | | 7.0231 | 6.9971 | 1 | |
| | | 6.7445 | 6.7865 | 2 | |
| | | 6.5201 | 6.6116 | 3 | |
| | | 6.2942 | 6.4619 | 4 | |
| | | 6.0867 | 6.3691 | 5 | |
| | | 5.9325 | 6.3691 | 6 | |
| | | 5.9331 | 6.3691 | 7 | |
| | | 5.9327 | 6.3691 | 8 | |
| | | 5.9318 | 6.3691 | 9 | |
| | | 5.9309 | 6.3691 | 10 | |
| | | 5.9304 | 6.3691 | 11 | |
| | | 5.9312 | 6.3691 | 12 | |
| | | 5.9339 | 6.3691 | 13 | |
| | | 5.9322 | 6.3691 | 14 | |
| | | 5.9351 | 6.3691 | 15 | |
| | | 5.9311 | 6.3691 | 16 | |
| | | 5.9328 | 6.3691 | 17 | |
| | | 5.9307 | 6.3691 | 18 | |
| | | 5.9326 | 6.3691 | 19 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.27.4 |
| | - TensorFlow 2.12.0 |
| | - Datasets 2.11.0 |
| | - Tokenizers 0.13.2 |
| | |
