arthd24/wanderwise_summary_1

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

• Train Loss: 0.7830
• Validation Loss: 0.6959
• Train Rouge1: 0.353
• Train Rouge2: 0.2719
• Train Rougel: 0.335
• Train Rougelsum: 0.3351
• Train Gen Len: 19.0
• Epoch: 4

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 Gen Len	Epoch
1.0492	0.7886	0.35	0.269	0.3321	0.3319	19.0	0
0.8843	0.7467	0.3511	0.2697	0.333	0.3326	19.0	1
0.8329	0.7228	0.3521	0.2707	0.3339	0.3337	19.0	2
0.8078	0.7143	0.3519	0.271	0.334	0.3338	19.0	3
0.7830	0.6959	0.353	0.2719	0.335	0.3351	19.0	4

Framework versions

• Transformers 4.35.2
• TensorFlow 2.14.0
• Datasets 2.15.0
• Tokenizers 0.15.0