distilbert-base-uncased-finetuned-cola

mohammedbriman/distilbert-base-uncased-finetuned-cola

distilbert-base-uncased-finetuned-cola is a text classification model from mohammedbriman. 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. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

492

Public

Repo size

804 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin268 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Nov 10, 2022
Updated: Nov 10, 2022
SHA: 6ea86f20

Try a prompt

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: 0.7303
Matthews Correlation: 0.5380

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
0.2672	1.0	535	0.6988	0.4674
0.2414	2.0	1070	0.6748	0.4729
0.1682	3.0	1605	0.7303	0.5380
0.1415	4.0	2140	0.9895	0.4806
0.0971	5.0	2675	0.9933	0.5321

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Nov 10, 2022
Updated: Nov 10, 2022