FYP_sq2_mrqa_sqshift

This model is a fine-tuned version of kxx-kkk/FYP_sq2_mrqa on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.4806

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: 2e-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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1381	0.27	400	3.9624
0.2298	0.53	800	3.5204
0.6879	0.8	1200	2.4806

Framework versions

• Transformers 4.39.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2