akrishnan1/arxiv_summarization_model

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 2.6862
• Validation Loss: 2.4424
• Train Rouge1: 17.9778
• Train Rouge2: 6.7295
• Train Rougel: 14.3327
• Train Rougelsum: 16.3045
• Train Gen Len: 19.0
• Epoch: 0

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': 2e-05, '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	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
2.6862	2.4424	17.9778	6.7295	14.3327	16.3045	19.0	0

Framework versions

• Transformers 4.40.1
• TensorFlow 2.16.1
• Datasets 2.19.0
• Tokenizers 0.19.1