ComQ_QG_Skeleton

This model is a fine-tuned version of Gayathri142214002/Question_Generation_ComQ_10 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5430

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• 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
0.5155	1.76	1000	0.4894
0.4145	3.51	2000	0.5052
0.3684	5.27	3000	0.5246
0.3408	7.03	4000	0.5262
0.3139	8.78	5000	0.5430

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.18.0
• Tokenizers 0.13.3