chv5/t5-small-shuffled_take3-small

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t5-small-shuffled_take3-small

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

• —Loss: 0.4505
• —Rouge1: 11.883
• —Rouge2: 9.4784
• —Rougel: 10.9978
• —Rougelsum: 11.5961
• —Gen Len: 18.9834

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: 2e-05
• —trainbatchsize: 6
• —evalbatchsize: 6
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.18.0
• —Pytorch 1.11.0+cu113
• —Datasets 2.1.0
• —Tokenizers 0.12.1