T5_finetuned

This model is a fine-tuned version of t5-base on the super_glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.1077
• Rouge1: 79.3272
• Rouge2: 0.0
• Rougel: 79.2966
• Rougelsum: 79.3272
• Gen Len: 2.8269

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
0.5134	1.0	590	0.1102	79.8165	0.0	79.8165	79.8471	2.7713
0.105	2.0	1180	0.1049	80.3364	0.0	80.3364	80.367	2.6483
0.1023	3.0	1770	0.1077	79.3272	0.0	79.2966	79.3272	2.8269

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2