autoevaluate/summarization

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summarization

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

• —Loss: 2.6690
• —Rouge1: 23.9405
• —Rouge2: 5.0879
• —Rougel: 18.4981
• —Rougelsum: 18.5032
• —Gen Len: 18.7376

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: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —training_steps: 1000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.19.2
• —Pytorch 1.11.0+cu113
• —Datasets 2.2.2
• —Tokenizers 0.12.1