antonkurylo/t5-small-billsum

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t5-small-billsum

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

• —Loss: 1.9564
• —Rouge1: 50.3551
• —Rouge2: 29.3717
• —Rougel: 39.4102
• —Rougelsum: 43.6247

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: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.0.2
• —Tokenizers 0.19.1