SciGPT-2-finetuned-papers – AI Model by Thalesian | AlphaNeural AI

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Thalesian/
SciGPT-2-finetuned-papers

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text-generation

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

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Thalesian/SciGPT-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: 1.8928
Validation Loss: 2.0726
Epoch: 19

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', 'clipvalue': 0.7, 'learning_rate': {'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 500, 'decay_rate': 0.95, 'staircase': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.1}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
1.8976	2.0729	0
1.8954	2.0728	1
1.8942	2.0725	2
1.8937	2.0726	3
1.8932	2.0727	4
1.8929	2.0727	5
1.8929	2.0727	6
1.8926	2.0726	7
1.8928	2.0726	8
1.8926	2.0726	9
1.8927	2.0726	10
1.8927	2.0726	11
1.8927	2.0726	12
1.8926	2.0726	13
1.8927	2.0726	14
1.8927	2.0726	15
1.8927	2.0726	16
1.8927	2.0726	17
1.8927	2.0726	18
1.8928	2.0726	19

Framework versions

Transformers 4.25.1
TensorFlow 2.8.0
Datasets 2.8.0
Tokenizers 0.13.2