nbbert_ED3

yemen2016/nbbert_ED3

nbbert_ED3 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 11, 2024
Updated: Sep 11, 2024
SHA: ac84eb30

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Base models

NbAiLab/nb-bert-base

Model card

From the Hugging Face model README

nbbert_ED3

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: 0.3621
F1-score: 0.8846

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	0.5867	0.7748
No log	2.0	138	0.4927	0.8030
No log	3.0	207	0.3621	0.8846
No log	4.0	276	0.3917	0.8358
No log	5.0	345	0.5062	0.8442
No log	6.0	414	0.7493	0.8187
No log	7.0	483	0.7768	0.8262
0.4016	8.0	552	0.9187	0.8262
0.4016	9.0	621	0.9876	0.8107
0.4016	10.0	690	1.0521	0.7946

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: cc-by-4.0
Created: Sep 11, 2024
Updated: Sep 11, 2024