t5-small-finetuned-eli5-extra-finetune

This model is a fine-tuned version of Sandipan1994/t5-small-finetuned-eli5 on the eli5 dataset. It achieves the following results on the evaluation set:

• Loss: 3.6711
• Rouge1: 9.8647
• Rouge2: 1.9166
• Rougel: 7.9523
• Rougelsum: 9.1657
• Gen Len: 18.9981

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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.8865	1.0	17040	3.6929	9.9257	1.9075	8.026	9.2238	19.0
3.8777	2.0	34080	3.6764	9.8568	1.9027	7.9443	9.1535	18.9981
3.8667	3.0	51120	3.6711	9.8647	1.9166	7.9523	9.1657	18.9981

Framework versions

• Transformers 4.22.2
• Pytorch 1.12.1+cu113
• Datasets 2.5.1
• Tokenizers 0.12.1