sa_BERT_24_cola

gokuls/sa_BERT_24_cola

sa_BERT_24_cola is a text classification model from gokuls. 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

330

Public

Repo size

876 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin438 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 15, 2023
Updated: Jun 15, 2023
SHA: c890637b

Try a prompt

Datasets

glue

Model card

From the Hugging Face model README

sa_BERT_24_cola

This model is a fine-tuned version of gokuls/bert_base_24 on the GLUE COLA dataset. It achieves the following results on the evaluation set:

Loss: 0.6120
Matthews Correlation: 0.0
Accuracy: 0.6913

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: 4e-05
train_batch_size: 96
eval_batch_size: 96
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation	Accuracy
0.6138	1.0	90	0.6120	0.0	0.6913
0.5898	2.0	180	0.6242	0.0656	0.6932
0.5491	3.0	270	0.6798	0.0733	0.6405
0.5027	4.0	360	0.6873	0.0667	0.6328
0.4549	5.0	450	0.7841	0.1025	0.6299
0.4177	6.0	540	0.8221	0.0827	0.5849

Framework versions

Transformers 4.30.2
Pytorch 1.14.0a0+410ce96
Datasets 2.13.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Languages: en
Created: Jun 15, 2023
Updated: Jun 15, 2023