t5-small-finetuned-xsum

This model is a fine-tuned version of t5-small on the None dataset.

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	13	3.6429	15.3135	1.0725	12.0447	12.445	18.97

Framework versions

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