flan-t5-large-extraction-cnndm_2000-all-hint_precision-ep1

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3024
• Hint Hit: 0.975
• Hint Hit Num: 1.966
• Hint Precision: 0.3313
• Hint Bleu: 3.5808
• Num: 5.93
• Gen Len: 18.99

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: 8
• eval_batch_size: 24
• seed: 1799
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Hint Hit	Hint Hit Num	Hint Precision	Hint Bleu	Num	Gen Len
0.7779	0.8	200	2.2977	1.0185	1.996	0.3382	3.6843	5.906	18.988

Framework versions

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