data2vec-text-base-finetuned-mrpc

mrm8488/data2vec-text-base-finetuned-mrpc

data2vec-text-base-finetuned-mrpc is a text classification model from mrm8488. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: data2vec-text
Access: Public
Created: May 3, 2022
Updated: Aug 31, 2022
SHA: 6a12e84b

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Datasets

glue

Model card

From the Hugging Face model README

data2vec-text-base-finetuned-mrpc

This model is a fine-tuned version of facebook/data2vec-text-base on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.4087
Accuracy: 0.8627
F1: 0.8993

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: 9.486061628311107e-06
train_batch_size: 4
eval_batch_size: 16
seed: 19
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6197	1.0	917	0.4720	0.8039	0.8606
0.4763	2.0	1834	0.4087	0.8627	0.8993

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: data2vec-text
License: mit
Created: May 3, 2022
Updated: Aug 31, 2022