fakenews_binaryclassifier_distilbert_cased

vishalk4u/fakenews_binaryclassifier_distilbert_cased

fakenews_binaryclassifier_distilbert_cased is a text classification model from vishalk4u. 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: Apr 13, 2024
Updated: Apr 13, 2024
SHA: 70db4553

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Base models

Model card

From the Hugging Face model README

fakenews_binaryclassifier_distilbert_cased

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

Loss: 0.6203
Accuracy: 0.736

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: 3e-06
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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6867	1.0	63	0.6704	0.648
0.6618	2.0	126	0.6406	0.684
0.6335	3.0	189	0.6203	0.736

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Apr 13, 2024
Updated: Apr 13, 2024