data2vec-text-base-finetuned-rte

mrm8488/data2vec-text-base-finetuned-rte

data2vec-text-base-finetuned-rte 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 4, 2022
Updated: Aug 31, 2022
SHA: 2181346e

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Datasets

glue

Model card

From the Hugging Face model README

data2vec-text-base-finetuned-rte

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: 0.6670
Accuracy: 0.6209

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	156	0.7091	0.4729
No log	2.0	312	0.6893	0.5271
No log	3.0	468	0.6670	0.6209
0.6919	4.0	624	0.6740	0.5921
0.6919	5.0	780	0.6644	0.6101

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 4, 2022
Updated: Aug 31, 2022