Benjiccee/BART-CNN-Orangesum

BART-CNN-Orangesum

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

• —Loss: 1.6370

It aims at improving the quality of the summary generated on French texts

Model description

this is a fine tuning of the model 'facebook/bart-large-cnn' on the 'orange_sum' dataset gives better results in French while keeping the intrinsic qualities of the BART model

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
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.28.1
• —Pytorch 2.0.0+cu117
• —Datasets 2.12.0
• —Tokenizers 0.13.3