t5-base-msmarco-nlgen-cb

This model is a fine-tuned version of t5-base on the MS MARCO Natural Language Generation dataset. It achieves the following results on the evaluation set:

• Loss: 2.0571
• Rougelsum: 24.7427

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 8
• 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	Rougelsum
2.1393	0.26	2500	2.1099	24.5028
2.1006	0.52	5000	2.0739	24.6017
2.0694	0.78	7500	2.0571	24.7427

Framework versions

• Transformers 4.23.0.dev0
• Pytorch 1.12.1+cu102
• Datasets 2.4.0
• Tokenizers 0.12.1