distilbert-base-uncased

hanspeterlyngsoeraaschoujensen/distilbert-base-uncased

distilbert-base-uncased is a text classification model from hanspeterlyngsoeraaschoujensen. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: distilbert
Access: Public
Created: Mar 22, 2023
Updated: Mar 24, 2023
SHA: be604c70

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Model card

From the Hugging Face model README

distilbert-base-uncased

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0926
F1: 0.9907
Roc Auc: 0.9907
Accuracy: 0.9907

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: 8
eval_batch_size: 8
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	F1	Roc Auc	Accuracy
0.0476	1.0	56159	0.0385	0.9892	0.9892	0.9892
0.0382	2.0	112318	0.0578	0.9901	0.9901	0.9901
0.0139	3.0	168477	0.0618	0.9903	0.9903	0.9903
0.0074	4.0	224636	0.0762	0.9902	0.9902	0.9902
0.0025	5.0	280795	0.0926	0.9907	0.9907	0.9907

Framework versions

Transformers 4.26.1
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
Created: Mar 22, 2023
Updated: Mar 24, 2023