YAML Metadata
Error:
"datasets[0]" with value "emotion (Translated to Turkish)" is not valid. If possible, use a dataset id from https://hf.co/datasets.
distilbert-base-turkish-cased-emotion
Model description:
Distilbert-base-turkish-cased finetuned on the emotion dataset (Translated to Turkish via Google Translate API) using HuggingFace Trainer with below Hyperparameters
learning rate 2e-5,
batch size 64,
num_train_epochs=8,
Model Performance Comparision on Emotion Dataset from Twitter:
Model | Accuracy | F1 Score | Test Sample per Second |
---|---|---|---|
Distilbert-base-turkish-cased-emotion | 83.25 | 83.17 | 232.197 |
How to Use the model:
from transformers import pipeline
classifier = pipeline("text-classification",
model='zafercavdar/distilbert-base-turkish-cased-emotion',
return_all_scores=True)
prediction = classifier("Bu kütüphaneyi seviyorum, en iyi yanı kolay kullanımı.", )
print(prediction)
"""
Output:
[
[
{'label': 'sadness', 'score': 0.0026786490343511105},
{'label': 'joy', 'score': 0.6600754261016846},
{'label': 'love', 'score': 0.3203163146972656},
{'label': 'anger', 'score': 0.004358913749456406},
{'label': 'fear', 'score': 0.002354539930820465},
{'label': 'surprise', 'score': 0.010216088965535164}
]
]
"""
Dataset:
Eval results
{
'eval_accuracy': 0.8325,
'eval_f1': 0.8317301441160213,
'eval_loss': 0.5021793842315674,
'eval_runtime': 8.6167,
'eval_samples_per_second': 232.108,
'eval_steps_per_second': 3.714
}
- Downloads last month
- 15
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.