model_compleet_wie_mask_red2

svitse/model_compleet_wie_mask_red2

model_compleet_wie_mask_red2 is a text classification model from svitse. 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: Mar 1, 2024
Updated: Mar 1, 2024
SHA: e23a42c4

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Base models

GroNLP/bert-base-dutch-cased

Model card

From the Hugging Face model README

model_compleet_wie_mask_red2

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

Loss: 0.4347
Accuracy: 0.8547
F1: 0.8134

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: 16
eval_batch_size: 20
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.661	0.77	50	0.6058	0.7006	0.6308
0.4353	1.54	100	0.3687	0.8401	0.7955
0.2514	2.31	150	0.4347	0.8547	0.8134

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: bert
Created: Mar 1, 2024
Updated: Mar 1, 2024