This model is a fine-tuned version of burakaytan/roberta-base-turkish-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6824
Accuracy: 0.5429
F1: 0.3820

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.687	1.0	9	0.6867	0.5429	0.3820
0.6802	2.0	18	0.6824	0.5429	0.3820

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

alionder/turk_spam

turk_spam

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

alionder/
turk_spam