Payoto/t5-small-finetuned-xsum

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t5-small-finetuned-xsum

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

• —Loss: 2.5273

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: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: IPU
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 20
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1
• —training precision: Mixed Precision

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.10.0+cpu
• —Datasets 2.7.1
• —Tokenizers 0.12.1