MeetK/bart_summarisation

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

bart_summarisation

This model is a fine-tuned version of MeetK/bart_summarisation on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.7168
• —Rouge1: 0.3288
• —Rouge2: 0.1335
• —Rougel: 0.2493
• —Rougelsum: 0.2495
• —Gen Len: 61.398

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: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.35.2
• —Pytorch 2.1.1+cpu
• —Datasets 2.15.0
• —Tokenizers 0.15.0