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MBart-finetuned-ur-xlsum

This model is a fine-tuned version of facebook/mbart-large-50 on the xlsum dataset. It achieves the following results on the evaluation set:

• Loss: 3.2663
• Rouge-1: 40.6
• Rouge-2: 18.9
• Rouge-l: 34.39
• Gen Len: 37.88
• Bertscore: 77.06

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
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• num_epochs: 5
• label_smoothing_factor: 0.1

Training results

Framework versions

• Transformers 4.20.0
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1