soumya13/GPT2_CleanDesc_MAKE_v3.0

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0492
• Validation Loss: 0.5345
• Train Accuracy: 0.8462
• Epoch: 18

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': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3040, '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
2.2952	2.0148	0.3846	0
1.6880	1.6117	0.4872	1
1.3471	1.4949	0.5385	2
1.1142	1.3389	0.6410	3
0.8515	1.1787	0.5897	4
0.6936	0.8458	0.7436	5
0.5641	0.7660	0.7436	6
0.4862	0.8724	0.6667	7
0.3327	0.7529	0.7692	8
0.2869	0.5615	0.8718	9
0.2437	0.5124	0.8462	10
0.1663	0.5285	0.8718	11
0.1589	0.6002	0.8718	12
0.1495	0.6048	0.8974	13
0.1131	0.5759	0.8462	14
0.1051	0.5339	0.8718	15
0.0582	0.5317	0.8974	16
0.0502	0.5349	0.8718	17
0.0492	0.5345	0.8462	18

Framework versions

• Transformers 4.28.1
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3