distilbert-base-uncased-finetuned-cola

MarkTaylor/distilbert-base-uncased-finetuned-cola

distilbert-base-uncased-finetuned-cola is a text classification model from MarkTaylor. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 3, 2022
Updated: Sep 4, 2022
SHA: 39d2c576

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Datasets

glue

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-cola

This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.7813
Matthews Correlation: 0.5429

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	Matthews Correlation
0.5255	1.0	535	0.5432	0.4004
0.3527	2.0	1070	0.5086	0.4889
0.2446	3.0	1605	0.5455	0.5365
0.1815	4.0	2140	0.7184	0.5328
0.1308	5.0	2675	0.7813	0.5429

Framework versions

Transformers 4.21.2
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 3, 2022
Updated: Sep 4, 2022