vmkhoa2000/text_summarization-cnn

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text_summarization-cnn

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

• —Loss: 1.6120
• —Rouge1: 0.2483
• —Rouge2: 0.1203
• —Rougel: 0.2055
• —Rougelsum: 0.2344

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: 2

Training results

Framework versions

• —Transformers 4.39.3
• —Pytorch 2.2.2+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2