nbroad/longt5-base-global-mediasum

longt5-mediasum

This model is a fine-tuned version of google/long-t5-tglobal-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.0129

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: 5e-05
• train_batch_size: 12
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.66	1.0	1667	2.0643
2.472	2.0	3334	2.0241
2.3574	3.0	5001	2.0129

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0a0+17540c5
• Datasets 2.3.2
• Tokenizers 0.12.1