wiki_lingua-en-8-3-5.6e-05-mt5-small-finetuned

• Loss: 2.3335
• Rouge1: 26.1973
• Rouge2: 9.0993
• Rougel: 22.5436
• Rougelsum: 25.443

Baseline Results

• Rouge1: 22.85
• Rouge2: 5.56
• Rougel: 15.13
• Rougelsum: 15.13

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• 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: 3

Training results

Framework versions

• Transformers 4.27.4
• Pytorch 1.13.0
• Datasets 2.1.0
• Tokenizers 0.13.2