t5-small-v2

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

• Loss: 2.2734
• Rouge1: 25.8039
• Rouge2: 7.8029
• Rougel: 17.9541
• Rougelsum: 17.9584

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: 128
• eval_batch_size: 128
• seed: 7
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.577	1.49	250	2.2480	26.1891	7.8964	17.9400	17.9370
2.5599	2.98	500	2.2617	26.2088	7.9532	18.3182	18.3326
2.5877	4.46	750	2.2734	25.8039	7.8029	17.9541	17.9584

Framework versions

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