FYP_sq2_mrqa_adqa_synqa_quoref – AI Model by kxx-kkk | AlphaNeural AI

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FYP_sq2_mrqa_adqa_synqa_quoref

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FYP_sq2_mrqa_adqa_synqa_quoref

This model is a fine-tuned version of kxx-kkk/FYP_sq2_mrqa_adqa_synqa on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8654

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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.3662	0.32	500	2.2585
2.1791	0.64	1000	2.1171
2.1006	0.95	1500	2.0172
2.0647	1.27	2000	1.9514
2.0247	1.59	2500	1.9741
1.9766	1.91	3000	1.8697
1.9395	2.23	3500	1.8859
1.9254	2.54	4000	1.8358
1.9118	2.86	4500	1.8654

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2