bert-base-cased-finetuned-news-all-batch16

annabellehuether/bert-base-cased-finetuned-news-all-batch16

bert-base-cased-finetuned-news-all-batch16 is a text classification model from annabellehuether. 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: Nov 30, 2023
Updated: Dec 1, 2023
SHA: 2b4fe79a

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Base models

Model card

From the Hugging Face model README

bert-base-cased-finetuned-news-all-batch16

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2721
F1: 0.9272

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: 47
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	F1
0.0674	1.0	3124	0.1904	0.9236
0.0311	2.0	6248	0.2041	0.9273
0.0101	3.0	9372	0.2721	0.9272

Framework versions

Transformers 4.35.1
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 30, 2023
Updated: Dec 1, 2023