botGPT2_Context_v1

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

• Train Loss: 0.3524
• Train Accuracy: 0.0000
• Train Perplexity: 18824.3340
• Validation Loss: 0.3106
• Validation Accuracy: 0.0
• Validation Perplexity: 39785.5430
• Epoch: 8

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': 1e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 16381, '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	Train Accuracy	Train Perplexity	Validation Loss	Validation Accuracy	Validation Perplexity	Epoch
0.6295	0.0032	100042.4062	0.3106	0.0	39785.5273	0
0.3528	0.0000	18560.1328	0.3106	0.0	39785.5391	1
0.3525	0.0000	18773.9668	0.3106	0.0	39785.5156	2
0.3525	0.0	18342.8223	0.3106	0.0	39785.5078	3
0.3525	0.0000	19026.9180	0.3106	0.0	39785.5508	4
0.3526	0.0	19108.625	0.3106	0.0	39785.5195	5
0.3526	0.0000	19143.7520	0.3106	0.0	39785.5312	6
0.3525	0.0000	18503.0938	0.3106	0.0	39785.5195	7
0.3524	0.0000	18824.3340	0.3106	0.0	39785.5430	8

Framework versions

• Transformers 4.26.0
• TensorFlow 2.11.0
• Datasets 2.9.0
• Tokenizers 0.13.2