glue_sst_classifier

Caroline-Vandyck/glue_sst_classifier

glue_sst_classifier is a text classification model from Caroline-Vandyck. 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: bert
Access: Public
Created: Apr 26, 2022
Updated: Apr 26, 2022
SHA: 35885887

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Datasets

glue

Model card

From the Hugging Face model README

glue_sst_classifier

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

Loss: 0.2359
F1: 0.9034
Accuracy: 0.9014

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: 1e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.3653	0.19	100	0.3213	0.8717	0.8727
0.291	0.38	200	0.2662	0.8936	0.8911
0.2239	0.57	300	0.2417	0.9081	0.9060
0.2306	0.76	400	0.2359	0.9105	0.9094
0.2185	0.95	500	0.2371	0.9011	0.8991

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Apr 26, 2022
Updated: Apr 26, 2022