flan-t5-large-extraction-all-dm_2000-ep2-nonstop

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

• Loss: 1.6959
• Hint Hit Num: 2.5114
• Hint Precision: 0.4531
• Num: 5.5433
• Gen Len: 18.9103

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: 2e-05
• train_batch_size: 12
• eval_batch_size: 96
• seed: 1799
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Hint Hit Num	Hint Precision	Num	Gen Len
2.48	0.6	100	1.7493	2.5632	0.4489	5.7323	18.9804
2.1318	1.2	200	1.7111	2.5271	0.453	5.5888	18.9218
2.078	1.8	300	1.6955	2.5158	0.4533	5.5528	18.9217

Framework versions

• Transformers 4.18.0
• Pytorch 1.10.0+cu111
• Datasets 2.5.1
• Tokenizers 0.12.1