t5-small-finetuned-giga

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

• Loss: 3.2594
• Rouge1: 26.6579
• Rouge2: 9.5505
• Rougel: 24.4987
• Rougelsum: 24.5146
• Gen Len: 13.5436

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
1.8512	1.0	23775	3.2594	26.6579	9.5505	24.4987	24.5146	13.5436

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2