FYP_sq2_mrqa_adqa_synqa_quoref

kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref

FYP_sq2_mrqa_adqa_synqa_quoref is a question answering model from kxx-kkk. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-4.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: cc-by-4.0
Model type: deberta-v2
Access: Public
Created: Apr 7, 2024
Updated: Apr 7, 2024
SHA: 6ffeacb0

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Base models

kxx-kkk/FYP_sq2_mrqa_adqa_synqa

Model card

From the Hugging Face model README

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

Task: Question Answering
Library: transformers
Type: deberta-v2
License: cc-by-4.0
Created: Apr 7, 2024
Updated: Apr 7, 2024