t5-small-finetuned-xsum

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5310
• Rouge1: 27.9232
• Rouge2: 7.5324
• Rougel: 22.035
• Rougelsum: 22.0304
• Gen Len: 18.8116

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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.7564	1.0	51012	2.5310	27.9232	7.5324	22.035	22.0304	18.8116

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.0+cu111
• Datasets 1.17.1.dev0
• Tokenizers 0.11.0