t5-small-finetuned-eli5

This model is a fine-tuned version of t5-small on the eli5 dataset. It achieves the following results on the evaluation set:

• Loss: 3.7596
• Rouge1: 9.5483
• Rouge2: 1.8202
• Rougel: 7.7317
• Rougelsum: 8.8491
• Gen Len: 18.9895

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
3.9551	1.0	68159	3.7596	9.5483	1.8202	7.7317	8.8491	18.9895

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu113
• Datasets 2.5.1
• Tokenizers 0.12.1