metadata
language:
- tr
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- Toygar/turkish-offensive-language-detection
metrics:
- accuracy
model-index:
- name: >-
Distilbert Base Uncased Turkish Offensive Language Classifier - Atakan
Ince
results: []
Distilbert Base Uncased Turkish Offensive Language Classifier - Atakan Ince
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