ubikpt/t5-small-finetuned-cnn-v2

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t5-small-finetuned-cnn-v2

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

• —Loss: 1.5474
• —Rouge1: 35.154
• —Rouge2: 18.683
• —Rougel: 30.8481
• —Rougelsum: 32.9638

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: 5.6e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 8

Training results

Framework versions

• —Transformers 4.14.0
• —Pytorch 1.5.0
• —Datasets 2.3.2
• —Tokenizers 0.10.3