t5-small-finetuned-summary_pd

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

• Loss: 2.9326
• Rouge1: 37.5319
• Rouge2: 11.7719
• Rougel: 37.0546
• Rougelsum: 36.8197

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: 5.6e-05
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.5559	1.0	688	2.9326	37.5319	11.7719	37.0546	36.8197

Framework versions

• Transformers 4.32.0
• Pytorch 2.0.1+cpu
• Datasets 2.14.4
• Tokenizers 0.13.3