MRC_ER_vit5-large_syl_ViWikiFC

tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC

MRC_ER_vit5-large_syl_ViWikiFC is a question answering model from tringuyen-uit. Use it when the input is a question plus a passage. It is set up for transformers.

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

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At a glance

Task: Question Answering
Library: transformers
Model type: t5
Access: Public
Created: Jun 5, 2024
Updated: Jun 6, 2024
SHA: faa15378

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Model card

From the Hugging Face model README

MRC_ER_vit5-large_syl_ViWikiFC

This model is a fine-tuned version of tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.5576
Exact Match: 0.8024
F1: 0.8241

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	F1
0.3388	1.0	8369	2.1133	0.7995	0.8224
0.3827	2.0	16738	2.3313	0.8029	0.8255
0.0881	3.0	25107	3.5576	0.8024	0.8241

Framework versions

Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.2
Tokenizers 0.19.1

Task: Question Answering
Library: transformers
Type: t5
Created: Jun 5, 2024
Updated: Jun 6, 2024