t5-end2end-questions-generation

This model is a fine-tuned version of TingChenChang/t5-end2end-questions-generation on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.5291

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: 0.0001
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.5711	0.4	100	1.6119
1.5353	0.8	200	1.6052
1.502	1.2	300	1.6082
1.4525	1.6	400	1.5918
1.4463	2.0	500	1.5847
1.3885	2.4	600	1.6236
1.4029	2.8	700	1.5962
1.3947	3.2	800	1.5932
1.3685	3.6	900	1.5898
1.3926	4.0	1000	1.5624
1.4666	4.4	1100	1.5535
1.4573	4.8	1200	1.5483
1.4342	5.2	1300	1.5449
1.4281	5.6	1400	1.5347
1.4031	6.0	1500	1.5456
1.375	6.4	1600	1.5375
1.3867	6.8	1700	1.5393
1.3763	7.2	1800	1.5401
1.357	7.6	1900	1.5361
1.3568	8.0	2000	1.5295
1.3503	8.4	2100	1.5377
1.3335	8.8	2200	1.5353
1.3416	9.2	2300	1.5288
1.3179	9.6	2400	1.5324
1.3276	10.0	2500	1.5291

Framework versions

• Transformers 4.22.2
• Pytorch 1.12.1+cu102
• Datasets 2.6.1
• Tokenizers 0.12.1