Seungjun/GSOCt5-small-finetuned-t5_V2

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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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

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