GSOCt5-small-finetuned-t5_V2

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

• Loss: 0.6585
• Rouge1: 35.6178
• Rouge2: 26.3831
• Rougel: 33.0833
• Rougelsum: 34.2411
• Gen Len: 18.9393

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: 0.0002
• 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.8214	1.0	631	0.6848	35.363	26.0631	32.7693	33.9591	18.9571
0.6835	2.0	1262	0.6585	35.6178	26.3831	33.0833	34.2411	18.9393

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3