t5-small-finetuned-aspect_based_news_summary

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

• Loss: 1.5400
• Rouge1: 51.9048
• Rouge2: 32.7805
• Rougel: 50.0061
• Rougelsum: 49.8124
• Gen Len: 17.1963

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:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	120	1.6026	50.6671	31.3901	48.6643	48.6284	17.785
No log	2.0	240	1.5400	51.9048	32.7805	50.0061	49.8124	17.1963

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1