metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: amanneo/mail-generator-mini
results: []
amanneo/mail-generator-mini
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.8951
- Train Accuracy: 0.0451
- Validation Loss: 4.3546
- Validation Accuracy: 0.0447
- 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: {'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': 125, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 4.1322 | 0.0446 | 4.3546 | 0.0447 | 0 |
| 3.8960 | 0.0449 | 4.3546 | 0.0447 | 1 |
| 3.8963 | 0.0451 | 4.3546 | 0.0447 | 2 |
| 3.8952 | 0.0451 | 4.3546 | 0.0447 | 3 |
| 3.8945 | 0.0451 | 4.3546 | 0.0447 | 4 |
| 3.8949 | 0.0451 | 4.3546 | 0.0447 | 5 |
| 3.8939 | 0.0451 | 4.3546 | 0.0447 | 6 |
| 3.8947 | 0.0449 | 4.3546 | 0.0447 | 7 |
| 3.8942 | 0.0449 | 4.3546 | 0.0447 | 8 |
| 3.8951 | 0.0451 | 4.3546 | 0.0447 | 9 |
Framework versions
- Transformers 4.23.1
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1