caffsean/t5-base-finetuned-keyword-to-text-generation

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t5-base-finetuned-keyword-to-text-generation

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

• —Loss: 3.4643
• —Rouge1: 2.1108
• —Rouge2: 0.3331
• —Rougel: 1.7368
• —Rougelsum: 1.7391
• —Gen Len: 16.591

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
• —num_epochs: 8
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.21.2
• —Pytorch 1.12.1+cu113
• —Datasets 2.4.0
• —Tokenizers 0.12.1