flan-t5-small-botco_QA-finetuned-question-generation-context-only

• Loss: 2.0952
• Rouge1: 83.429
• Rouge2: 80.1583
• Rougel: 80.2037
• Rougelsum: 83.2421
• Bleu-4: 62.4017
• Meteor: 87.7448
• Gen Len: 45.3499

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6
• label_smoothing_factor: 0.1

Training results

Framework versions

• Transformers 4.27.2
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2