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toxic-dbmdz-bert-base-turkish-128k-uncased-casing-unbiased
l2reg/toxic-dbmdz-bert-base-turkish-128k-uncased-casing-unbiased
toxic-dbmdz-bert-base-turkish-128k-uncased-casing-unbiased is a text classification model from l2reg. Use it when you need a label for a piece of text. It is set up for transformers.
Train-Test Set: "teknofesttrainfinal.csv"
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 2, 2023
- Updated
- Apr 7, 2023
- SHA
- b0cf5541
Try a prompt
Model card
From the Hugging Face model README
Train-Test Set: "teknofest_train_final.csv"
Model: "dbmdz/bert-base-turkish-128k-uncased"
Önişleme
- Karakterler küçültülmüştür
- Noktalama işaretleri silinmiştir
Tokenizer Parametreleri
max_length=64
padding=True
truncation=True
Eğitim Parametreleri
- Epoch: 3
- Learning Rate: 7e-5
- Batch-Size: 64
- Tokenizer Length: 64
- Loss: BCE
- Online Hard Example Mining: Açık
- Class-Weighting: Açık (^0.3)
- Early Stopping: Kapalı
- Stratified Batch Sampling: Açık
- Gradient Accumulation: Kapalı
- LR Scheduler: Cosine-with-Warmup
- Warmup Ratio: 0.1
- Weight Decay: 0.01
- LLRD: 0.95
- Label Smoothing: 0.05
- Gradient Clipping: 1.0
- MLM Pre-Training: Kapalı
CV10 Sonuçları
precision recall f1-score support
INSULT 0.9098 0.9143 0.9120 2393
OTHER 0.9596 0.9481 0.9538 3528
PROFANITY 0.9599 0.9575 0.9587 2376
RACIST 0.9551 0.9636 0.9594 2033
SEXIST 0.9552 0.9635 0.9593 2081
accuracy 0.9485 12411
macro avg 0.9479 0.9494 0.9486 12411
weighted avg 0.9486 0.9485 0.9485 12411
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Apr 2, 2023
- Updated
- Apr 7, 2023