distilbert-base-uncased-finetuned-wnli

aemami1/distilbert-base-uncased-finetuned-wnli

distilbert-base-uncased-finetuned-wnli is a text classification model from aemami1. 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: distilbert
Access: Public
Created: Jul 26, 2022
Updated: Jul 26, 2022
SHA: 11540830

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Datasets

glue

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-wnli

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: 0.6950
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: 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	Accuracy
No log	1.0	40	0.6929	0.5211
No log	2.0	80	0.6951	0.4789
No log	3.0	120	0.6950	0.5493
No log	4.0	160	0.6966	0.5352
No log	5.0	200	0.6966	0.5352

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

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