bert-tiny-target-cola

muhtasham/bert-tiny-target-cola

bert-tiny-target-cola is a text classification model from muhtasham. 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

814

Public

Repo size

264 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin17.6 MB · 95%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Dec 27, 2022
Updated: Dec 27, 2022
SHA: fe946db7

Try a prompt

Datasets

glue

Model card

From the Hugging Face model README

bert-tiny-target-cola

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.6626
Matthews Correlation: 0.1458

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.6124	1.87	500	0.6192	0.0
0.6016	3.73	1000	0.6167	0.0
0.5838	5.6	1500	0.6166	0.0149
0.5555	7.46	2000	0.6344	0.0465
0.5272	9.33	2500	0.6542	0.1399
0.5058	11.19	3000	0.6626	0.1458
0.4791	13.06	3500	0.6868	0.1192
0.4577	14.93	4000	0.7215	0.1230
0.4425	16.79	4500	0.7322	0.1243

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 27, 2022
Updated: Dec 27, 2022