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

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

• 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

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: 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

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu-4	Meteor	Gen Len
2.6539	2.33	50	2.2360	82.6627	79.5849	79.46	82.5244	57.5926	86.8675	49.0233
2.212	4.66	100	2.0952	83.429	80.1583	80.2037	83.2421	62.4017	87.7448	45.3499

Framework versions

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