t5-base-msmarco-nlgen-ob

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: 0.3874
• Rougelsum: 14.4418

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: 8
• 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
0.5472	0.13	2500	0.4383	14.2497
0.5238	0.26	5000	0.4252	14.4210
0.501	0.39	7500	0.4093	14.3315
0.4958	0.52	10000	0.4006	14.3347
0.4913	0.66	12500	0.3944	14.5925
0.4873	0.79	15000	0.3914	14.4193
0.466	0.92	17500	0.3874	14.4418

Framework versions

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