t5-small-finetuned-summarization-cnn-ver3

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t5-small-finetuned-summarization-cnn-ver3

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

• Loss: 2.1072
• Bertscore-mean-precision: 0.8861
• Bertscore-mean-recall: 0.8592
• Bertscore-mean-f1: 0.8723
• Bertscore-median-precision: 0.8851
• Bertscore-median-recall: 0.8582
• Bertscore-median-f1: 0.8719

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: 0.0003
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.7.0
• Tokenizers 0.13.2