metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: textgenerator
results: []
textgenerator
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 5.7309
- Validation Loss: 6.3030
- 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 |
---|---|---|
10.2937 | 9.6742 | 0 |
9.2524 | 8.8693 | 1 |
8.2666 | 7.9135 | 2 |
7.3757 | 7.3273 | 3 |
6.9147 | 6.9741 | 4 |
6.5844 | 6.7259 | 5 |
6.3340 | 6.5383 | 6 |
6.0966 | 6.3904 | 7 |
5.8915 | 6.3030 | 8 |
5.7314 | 6.3030 | 9 |
5.7268 | 6.3030 | 10 |
5.7300 | 6.3030 | 11 |
5.7283 | 6.3030 | 12 |
5.7314 | 6.3030 | 13 |
5.7284 | 6.3030 | 14 |
5.7323 | 6.3030 | 15 |
5.7304 | 6.3030 | 16 |
5.7292 | 6.3030 | 17 |
5.7311 | 6.3030 | 18 |
5.7309 | 6.3030 | 19 |
Framework versions
- Transformers 4.21.0
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1