metadata

license: apache-2.0
base_model: cservan/malbert-base-cased-128k
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: MalBERT-multilingual-finetuned-CEFR_sentences
    results: []

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