metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: soumya13/GPT2_CleanDesc_MAKE_v1.5
results: []
soumya13/GPT2_CleanDesc_MAKE_v1.5
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0230
- Validation Loss: 0.0002
- Train Accuracy: 1.0
- Epoch: 24
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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7600, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Validation Loss | Train Accuracy | Epoch |
---|---|---|---|
2.5515 | 1.0912 | 0.5385 | 0 |
0.6884 | 0.4192 | 0.9231 | 1 |
0.3177 | 0.1240 | 1.0 | 2 |
0.1737 | 0.0375 | 1.0 | 3 |
0.0903 | 0.0094 | 1.0 | 4 |
0.0804 | 0.0047 | 1.0 | 5 |
0.0578 | 0.0029 | 1.0 | 6 |
0.0234 | 0.0022 | 1.0 | 7 |
0.0157 | 0.0015 | 1.0 | 8 |
0.0301 | 0.0012 | 1.0 | 9 |
0.0261 | 0.0009 | 1.0 | 10 |
0.0244 | 0.0008 | 1.0 | 11 |
0.0362 | 0.0007 | 1.0 | 12 |
0.0133 | 0.0006 | 1.0 | 13 |
0.0185 | 0.0005 | 1.0 | 14 |
0.0256 | 0.0004 | 1.0 | 15 |
0.0224 | 0.0004 | 1.0 | 16 |
0.0111 | 0.0003 | 1.0 | 17 |
0.0057 | 0.0003 | 1.0 | 18 |
0.0136 | 0.0003 | 1.0 | 19 |
0.0167 | 0.0002 | 1.0 | 20 |
0.0172 | 0.0002 | 1.0 | 21 |
0.0066 | 0.0002 | 1.0 | 22 |
0.0158 | 0.0002 | 1.0 | 23 |
0.0230 | 0.0002 | 1.0 | 24 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3