AnnaR/literature_summarizer

This model is a fine-tuned version of sshleifer/distilbart-xsum-1-1 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 3.2180
• Validation Loss: 4.7198
• 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 5300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
5.6694	5.0234	0
4.9191	4.8161	1
4.5770	4.7170	2
4.3268	4.6571	3
4.1073	4.6296	4
3.9225	4.6279	5
3.7564	4.6288	6
3.5989	4.6731	7
3.4611	4.6767	8
3.3356	4.6934	9
3.2180	4.7198	10

Framework versions

• Transformers 4.17.0
• TensorFlow 2.8.0
• Datasets 2.0.0
• Tokenizers 0.11.6