distilbert-base-uncased-finetuned

DeepaKrish/distilbert-base-uncased-finetuned

distilbert-base-uncased-finetuned is a text classification model from DeepaKrish. 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: Sep 26, 2022
Updated: Sep 27, 2022
SHA: a042534e

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Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned

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

Loss: 0.1137
Accuracy: 0.9733
F1: 0.9743

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	F1
0.0868	1.0	1370	0.1098	0.9729	0.9738
0.0598	2.0	2740	0.1137	0.9733	0.9743
0.0383	3.0	4110	0.1604	0.9721	0.9731
0.0257	4.0	5480	0.1671	0.9717	0.9729
0.016	5.0	6850	0.1904	0.9709	0.9720

Framework versions

Transformers 4.11.3
Pytorch 1.9.0
Datasets 2.5.1
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 26, 2022
Updated: Sep 27, 2022