pminhyung12/gpt2-base-v0

This model is a fine-tuned version of gpt2 on the corpus_v1 dataset. It achieves the following results on the evaluation set:

• Train Loss: 5.1058
• Validation Loss: 6.2552
• Epoch: 7

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': 'AdamW', 'weight_decay': 0.004, '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': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: mixed_bfloat16

Training results

Train Loss	Validation Loss	Epoch
0.9128	0.9515	0
0.6172	0.8965	1
0.5713	0.8763	2
1.2088	1.8300	3
3.6887	5.8700	4
2.8920	3.6422	5
3.8045	8.9555	6
5.1058	6.2552	7

Framework versions

• Transformers 4.26.1
• TensorFlow 2.12.0
• Datasets 2.9.0
• Tokenizers 0.13.2