arthd24/ext_abs_t5small_3k

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: 3.4119
• Validation Loss: 3.1471
• Train Rouge1: 0.3769
• Train Rouge2: 0.1385
• Train Rougel: 0.2213
• Train Rougelsum: 0.2214
• Train Bertscore F1: 0.8372
• Train Gen Len: 237.7885
• Epoch: 1

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': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Bertscore F1	Train Gen Len	Epoch
3.8115	3.2618	0.374	0.1364	0.2188	0.2188	0.8361	227.4926	0
3.4119	3.1471	0.3769	0.1385	0.2213	0.2214	0.8372	237.7885	1

Framework versions

• Transformers 4.47.0
• TensorFlow 2.16.1
• Datasets 3.2.0
• Tokenizers 0.21.0