antonkurylo/t5-base-news_headlines_8tokens

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t5-base-news_headlines

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

• —Loss: 0.8974
• —Rouge1: 57.2262
• —Rouge2: 42.0378
• —Rougel: 56.5748
• —Rougelsum: 56.5201

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: 5e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 7

Training results

Framework versions

• —Transformers 4.28.0
• —Pytorch 2.0.1+cu118
• —Datasets 2.12.0
• —Tokenizers 0.13.3