t5-small-finetuned-xsum

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

• Loss: 1.9965
• Rouge1: 36.8776
• Rouge2: 15.1244
• Rougel: 31.1644
• Rougelsum: 34.0737
• Gen Len: 15.9218

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• 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
2.2387	1.0	3683	1.9965	36.8776	15.1244	31.1644	34.0737	15.9218

Framework versions

• PEFT 0.13.2
• Transformers 4.46.1
• Pytorch 2.4.1+cpu
• Datasets 3.1.0
• Tokenizers 0.20.1