t5_Question_Generation_2

This model is a fine-tuned version of Gayathri142214002/t5_Question_Generation on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5549

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss
1.0256	0.25	100	0.7578
0.7848	0.5	200	0.6872
0.6682	0.75	300	0.6440
0.6444	1.0	400	0.5939
0.4903	1.25	500	0.5944
0.4894	1.5	600	0.5675
0.5001	1.75	700	0.5546
0.4891	2.0	800	0.5469
0.3779	2.25	900	0.5523
0.3802	2.5	1000	0.5609
0.395	2.74	1100	0.5483
0.3916	2.99	1200	0.5482
0.3383	3.24	1300	0.5634
0.3391	3.49	1400	0.5629
0.3294	3.74	1500	0.5573
0.3363	3.99	1600	0.5413
0.2851	4.24	1700	0.5533
0.3032	4.49	1800	0.5575
0.2995	4.74	1900	0.5548
0.3091	4.99	2000	0.5396
0.2606	5.24	2100	0.5420
0.2622	5.49	2200	0.5468
0.2817	5.74	2300	0.5460
0.2743	5.99	2400	0.5473
0.2501	6.24	2500	0.5542
0.2484	6.49	2600	0.5558
0.2388	6.74	2700	0.5542
0.2414	6.99	2800	0.5549

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3