model_question_answering

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5438
• Accuracy: 0.7936
• F1: 0.7926

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: 4e-05
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 96
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 20
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.4542	0.4071	40	0.5258	0.7599	0.7433
0.3783	0.8142	80	0.5738	0.7685	0.7707
0.2734	1.2137	120	0.6156	0.7823	0.7818
0.216	1.6209	160	0.5846	0.7945	0.7916

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1