FYP_sq2_mrqa_adqa_quac

This model is a fine-tuned version of kxx-kkk/FYP_sq2_mrqa_adqa on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.2206

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.8023	0.48	500	3.4618
2.4772	0.95	1000	3.3024
2.4056	1.43	1500	3.2717
2.3162	1.91	2000	3.2206

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2