This model is a fine-tuned version of distilbert/distilbert-base-uncased on the Turkish Offensive Language Dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.2440
Accuracy: 0.9067

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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3075	0.36	1000	0.2871	0.8901
0.2652	0.72	2000	0.2520	0.9031
0.2825	1.09	3000	0.2506	0.9007
0.2471	1.45	4000	0.2440	0.9067

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

atakanince/distilbert-base-uncased-turkish-offensiveLanguage-v1

Distilbert Base Uncased Turkish Offensive Language Classifier - Atakan Ince

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

atakanince/
distilbert-base-uncased-turkish-offensiveLanguage-v1