metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: pradeep4321/model2
results: []
pradeep4321/model2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 6.5499
- Validation Loss: 7.2288
- Epoch: 12
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': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 200, '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 |
|---|---|---|
| 7.2465 | 7.5143 | 0 |
| 7.1890 | 7.4800 | 1 |
| 7.1104 | 7.4496 | 2 |
| 7.0491 | 7.4218 | 3 |
| 7.0064 | 7.3964 | 4 |
| 6.9428 | 7.3732 | 5 |
| 6.9061 | 7.3505 | 6 |
| 6.8538 | 7.3301 | 7 |
| 6.7857 | 7.3108 | 8 |
| 6.7253 | 7.2893 | 9 |
| 6.6743 | 7.2693 | 10 |
| 6.5944 | 7.2491 | 11 |
| 6.5499 | 7.2288 | 12 |
Framework versions
- Transformers 4.29.0
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3