| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: amanneo/mail-generator-mini |
| | 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. --> |
| |
|
| | # amanneo/mail-generator-mini |
| |
|
| | 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: 5.4613 |
| | - Train Accuracy: 0.1611 |
| | - Validation Loss: 5.2617 |
| | - Validation Accuracy: 0.1386 |
| | - Epoch: 9 |
| |
|
| | ## 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'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': -925, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
| | - training_precision: mixed_float16 |
| | |
| | ### Training results |
| | |
| | | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
| | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | | 10.0053 | 0.1068 | 8.5247 | 0.1394 | 0 | |
| | | 8.7772 | 0.1505 | 7.9685 | 0.1656 | 1 | |
| | | 8.2057 | 0.1663 | 7.4436 | 0.1655 | 2 | |
| | | 7.5786 | 0.1611 | 6.8572 | 0.1654 | 3 | |
| | | 6.9698 | 0.1679 | 6.3646 | 0.1735 | 4 | |
| | | 6.4911 | 0.1763 | 6.0124 | 0.1787 | 5 | |
| | | 6.1632 | 0.1834 | 5.7751 | 0.1826 | 6 | |
| | | 5.9057 | 0.1840 | 5.5786 | 0.1749 | 7 | |
| | | 5.6874 | 0.1758 | 5.4023 | 0.1616 | 8 | |
| | | 5.4613 | 0.1611 | 5.2617 | 0.1386 | 9 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.23.1 |
| | - TensorFlow 2.9.2 |
| | - Datasets 2.6.1 |
| | - Tokenizers 0.13.1 |
| | |
