t5-cnn

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4562
• Rouge1: 25.1836
• Rouge2: 12.0806
• Rougel: 20.818
• Rougelsum: 23.6868
• Gen Len: 18.9986

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: 1
• eval_batch_size: 1
• 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
1.4286	1.0	50000	1.4562	25.1836	12.0806	20.818	23.6868	18.9986

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1