mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams-3epochs-contextonly

• Loss: 2.0701
• Rouge1: 0.141
• Rouge2: 0.0269
• Rougel: 0.1158
• Rougelsum: 0.116
• Gen Len: 18.8553

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• 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 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3