yodi/gpt-2-finetuned-papers

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.9448
• Validation Loss: 1.8459
• Epoch: 10

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': {'module': 'keras.optimizers.schedules', 'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 500, 'decay_rate': 0.95, 'staircase': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
2.4234	2.1273	0
2.1829	1.9976	1
2.0794	1.9288	2
2.0208	1.8907	3
1.9872	1.8705	4
1.9680	1.8579	5
1.9572	1.8519	6
1.9511	1.8491	7
1.9478	1.8471	8
1.9458	1.8464	9
1.9448	1.8459	10

Framework versions

• Transformers 4.30.2
• TensorFlow 2.13.0
• Datasets 2.12.0
• Tokenizers 0.13.3