t5-small-finetuned-xsum-512

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

• Loss: 2.4706
• Rouge1: 28.8448
• Rouge2: 7.9819
• Rougel: 22.8686
• Rougelsum: 22.8754
• Gen Len: 18.7654

T5, zero-shot on the same evaluation set: {'rouge1': 19.2304, 'rouge2': 2.5842, 'rougeL': 13.9683, 'rougeLsum': 15.516}

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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.7057	1.0	7854	2.4706	28.8448	7.9819	22.8686	22.8754	18.7654

Framework versions

• Transformers 4.18.0
• Pytorch 1.10.2
• Datasets 2.1.0
• Tokenizers 0.12.1