t5-small-finetuned-xsum

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

• Loss: 2.3833
• Rouge1: 29.6452
• Rouge2: 8.6953
• Rougel: 23.4474
• Rougelsum: 23.4553
• Gen Len: 18.8037

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: 2
• eval_batch_size: 2
• 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
2.6051	1.0	102023	2.3833	29.6452	8.6953	23.4474	23.4553	18.8037

Framework versions

• Transformers 4.9.0
• Pytorch 1.9.0+cu102
• Datasets 1.10.2
• Tokenizers 0.10.3