bert-hoofdthemas

maretamasaeva/bert-hoofdthemas

bert-hoofdthemas is a text classification model from maretamasaeva. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Sep 14, 2022
Updated: Sep 14, 2022
SHA: b0a9d7dc

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Model card

From the Hugging Face model README

bert-hoofdthemas

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

Loss: 1.1925
Accuracy: 0.7327

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: 0.0001
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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0712	1.0	2107	0.9968	0.7035
0.8567	2.0	4214	0.9297	0.7230
0.6865	3.0	6321	0.9586	0.7346
0.5546	4.0	8428	0.9767	0.7387
0.4429	5.0	10535	1.0708	0.7370
0.3395	6.0	12642	1.1925	0.7327

Framework versions

Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
Created: Sep 14, 2022
Updated: Sep 14, 2022