nbbert_ED1

yemen2016/nbbert_ED1

nbbert_ED1 is a text classification model from yemen2016. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: cc-by-4.0
Model type: bert
Access: Public
Created: Sep 12, 2024
Updated: Sep 12, 2024
SHA: 88dee101

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Base models

NbAiLab/nb-bert-base

Model card

From the Hugging Face model README

nbbert_ED1

This model is a fine-tuned version of NbAiLab/nb-bert-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4723
F1-score: 0.8930

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: 5e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score
No log	1.0	69	0.3745	0.8771
No log	2.0	138	0.4001	0.8605
No log	3.0	207	0.4723	0.8930
No log	4.0	276	0.6866	0.8442
No log	5.0	345	0.6563	0.8597
No log	6.0	414	0.9802	0.8328
No log	7.0	483	0.6917	0.8688
0.2309	8.0	552	0.6327	0.8759
0.2309	9.0	621	0.6371	0.8759
0.2309	10.0	690	0.6340	0.8765

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: cc-by-4.0
Created: Sep 12, 2024
Updated: Sep 12, 2024