distilbert-base-uncased-finetuned-cola

Augustin99/distilbert-base-uncased-finetuned-cola

distilbert-base-uncased-finetuned-cola is a text classification model from Augustin99. 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

2% of all-time downloads

All-time downloads

400

Public

Repo size

7.5 GB

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: Jun 1, 2023
Updated: Jun 1, 2023
SHA: f0c2c4a2

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: 0.5668
Matthews Correlation: 0.5294

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
0.5286	1.0	535	0.5356	0.4033
0.3541	2.0	1070	0.5061	0.4858
0.2383	3.0	1605	0.5668	0.5294
0.1799	4.0	2140	0.7793	0.4925
0.1372	5.0	2675	0.8256	0.5056

Framework versions

Transformers 4.29.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 1, 2023
Updated: Jun 1, 2023