vmarklynn/bart-large-cnn-icsi-ami-v3

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bart-large-cnn-samsum-icsi-ami-v3

This model is a fine-tuned version of philschmid/bart-large-cnn-samsum on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 3.2328
• —Rouge1: 39.9389
• —Rouge2: 12.2256
• —Rougel: 23.4739
• —Rougelsum: 36.7757
• —Gen Len: 155.3529

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

Training results

Framework versions

• —Transformers 4.26.1
• —Pytorch 1.13.1+cu117
• —Datasets 2.10.1
• —Tokenizers 0.13.2