MalBERT-multilingual-finetuned-CEFR_sentences

DioBot2000/MalBERT-multilingual-finetuned-CEFR_sentences

MalBERT-multilingual-finetuned-CEFR_sentences is a text classification model from DioBot2000. 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: albert
Access: Public
Created: Jun 23, 2024
Updated: Jun 23, 2024
SHA: b10a79ea

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Base models

Model card

From the Hugging Face model README

MalBERT-multilingual-finetuned-CEFR_sentences

This model is a fine-tuned version of cservan/malbert-base-cased-128k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9301
Accuracy: 0.6113
Precision: 0.5964
Recall: 0.6113
F1: 0.6029

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: 42
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	Accuracy	Precision	Recall	F1
No log	1.0	449	0.9743	0.5966	0.5933	0.5966	0.5874
1.0509	2.0	898	0.9987	0.5673	0.5650	0.5673	0.5574
0.8073	3.0	1347	0.9301	0.6113	0.5964	0.6113	0.6029

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: albert
License: apache-2.0
Created: Jun 23, 2024
Updated: Jun 23, 2024