Deepanshu7284/t5-small-finetuned-cnn-news

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t5-small-finetuned-cnn-news

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

• —Loss: 2.2247
• —Rouge1: 24.0545
• —Rouge2: 9.1969
• —Rougel: 19.6469
• —Rougelsum: 22.1421

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: 0.00056
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.5.0+cu121
• —Datasets 3.1.0
• —Tokenizers 0.19.1