t5-large-v2

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

• Loss: 1.7305
• Rouge1: 28.8944
• Rouge2: 10.3653
• Rougel: 20.1830
• Rougelsum: 20.1839

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: 4e-05
• train_batch_size: 48
• eval_batch_size: 64
• seed: 7
• 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
2.0607	0.45	200	1.7285	29.5191	10.7426	20.4093	20.4053
1.925	0.9	400	1.7305	28.8944	10.3653	20.1830	20.1839

Framework versions

• PEFT 0.10.0
• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2