soumya13/GPT2_CleanDesc_MAKE_v1.1

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

• Train Loss: 0.0313
• Validation Loss: 0.0009
• Train Accuracy: 1.0
• 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': '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': 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
2.2600	1.1422	0.7179	0
0.8099	0.4595	0.8974	1
0.3624	0.1091	1.0	2
0.1618	0.0414	1.0	3
0.0848	0.0082	1.0	4
0.0731	0.0036	1.0	5
0.0438	0.0022	1.0	6
0.0277	0.0016	1.0	7
0.0477	0.0012	1.0	8
0.0313	0.0009	1.0	9

Framework versions

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