t5-small-finetuned-xsum

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

• Loss: 1.1447
• Rouge1: 10.4492
• Rouge2: 3.9563
• Rougel: 9.3368
• Rougelsum: 9.9828
• Gen Len: 19.0

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:

• learning_rate: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2742	1.0	868	1.3135	9.4644	2.618	8.4048	8.9764	19.0
1.4607	2.0	1736	1.2134	9.6327	3.8535	9.0703	9.2466	19.0
1.3579	3.0	2604	1.1684	10.1616	3.5498	9.2294	9.4507	19.0
1.3314	4.0	3472	1.1514	10.0621	3.6907	9.1635	9.4955	19.0
1.3084	5.0	4340	1.1447	10.4492	3.9563	9.3368	9.9828	19.0

Framework versions

• Transformers 4.8.2
• Pytorch 1.9.0+cu102
• Datasets 1.10.0
• Tokenizers 0.10.3