mbart-large-50-finetuned-mBART50

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

• eval_loss: 4.3657
• eval_rouge1: 31.5055
• eval_rouge2: 23.392
• eval_rougeL: 28.9957
• eval_rougeLsum: 30.2596
• eval_runtime: 9404.8054
• eval_samples_per_second: 0.286
• eval_steps_per_second: 0.036
• step: 0

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: 5.6e-05
• 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: 4

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0
• Datasets 2.19.2
• Tokenizers 0.19.1