bert-base-uncased-finetuned-wnli

sujatha2502/bert-base-uncased-finetuned-wnli

bert-base-uncased-finetuned-wnli is a text classification model from sujatha2502. 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: Sep 23, 2022
Updated: Oct 6, 2022
SHA: dfe4a64c

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Datasets

glue

Model card

From the Hugging Face model README

bert-base-uncased-finetuned-wnli

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

Loss: 0.6961
Accuracy: 0.5493

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	20	0.6960	0.4648
No log	2.0	40	0.6961	0.5493
No log	3.0	60	0.6974	0.5493

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Sep 23, 2022
Updated: Oct 6, 2022