# **Descriptive Sentences Classifier**

Based on [AlephBERT](https://huggingface.co/onlplab/alephbert-base) model.

# **Metrics**
[accuracy](https://huggingface.co/metrics/accuracy): 0.813953488372093
</br>
[f1](https://huggingface.co/metrics/f1): 0.8181818181818182
## How to Use the model:
```python
from transformers import pipeline
classifier = pipeline("text-classification",model='orisuchy/Descriptive_Classifier', return_all_scores=True)
outputs = classifier("מסווג חתיך במיוחד")
print(outputs)

"""
Output:
[[
{'label': 'Descriptive', 'score': 0.999764621257782},
{'label': 'Not Descriptive', 'score': 0.00023541577684227377}]]
"""
```
#### Or, if you want only the final class:
```python
from transformers import pipeline
classifier = pipeline("text-classification",model='orisuchy/Descriptive_Classifier')
output = classifier("הלכתי אליו הביתה וחיכיתי")
print(output)

"""
Output:
[{'label': 'Not Descriptive', 'score': 0.999901533126831}]
"""
```
Created by Daniel Smotritsky & Ori Suchy
<br>
[GitHub](https://github.com/orisuchy/miniProject_DHU)
<iframe src="https://wandb.ai/orisuchy/huggingface/reports/Shared-panel-22-03-01-15-03-08--VmlldzoxNjI5MjM0?highlightShare" style="border:none;height:1024px;width:100%">



{"language": "he", "license": "afl-3.0", "tags": ["Text Classification"], "datasets": ["orisuchy/Descriptive_Sentences_He"], "metrics": ["accuracy", "f1"], "widget": [{"text": "\u05d4\u05d9\u05e2\u05e8 \u05d4\u05e9\u05d7\u05d5\u05e8 \u05d5\u05d4\u05d2\u05d3\u05d5\u05dc"}, {"text": "\u05d5\u05d0\u05d6 \u05d4\u05d5\u05d0 \u05d4\u05dc\u05da \u05dc\u05d8\u05d9\u05d9\u05dc \u05d1\u05ea\u05d5\u05da \u05d4\u05d9\u05e2\u05e8 \u05d4\u05e9\u05d7\u05d5\u05e8 \u05d5\u05d4\u05d2\u05d3\u05d5\u05dc"}]}
transformers pytorch bert text-classification Text Classification he dataset:orisuchy/Descriptive_Sentences_He license:afl-3.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #Text Classification #he #dataset-orisuchy/Descriptive_Sentences_He #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 

# Descriptive Sentences Classifier

Based on AlephBERT model.

# Metrics
accuracy: 0.813953488372093
</br>
f1: 0.8181818181818182
## How to Use the model:

#### Or, if you want only the final class:

Created by Daniel Smotritsky & Ori Suchy
<br>
GitHub
<iframe src="URL style="border:none;height:1024px;width:100%">



# Descriptive Sentences Classifier

Based on AlephBERT model. # Metrics
accuracy: 0.813953488372093
</br>
f1: 0.8181818181818182 ## How to Use the model: #### Or, if you want only the final class:

Created by Daniel Smotritsky & Ori Suchy
<br>
GitHub
<iframe src="URL style="border:none;height:1024px;width:100%">
TAGS
#transformers #pytorch #bert #text-classification #Text Classification #he #dataset-orisuchy/Descriptive_Sentences_He #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
 # Descriptive Sentences Classifier

Based on AlephBERT model. # Metrics
accuracy: 0.813953488372093
</br>
f1: 0.8181818181818182 ## How to Use the model: #### Or, if you want only the final class:

Created by Daniel Smotritsky & Ori Suchy
<br>
GitHub
<iframe src="URL style="border:none;height:1024px;width:100%">
passage: TAGS
#transformers #pytorch #bert #text-classification #Text Classification #he #dataset-orisuchy/Descriptive_Sentences_He #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
# Descriptive Sentences Classifier

Based on AlephBERT model.# Metrics
accuracy: 0.813953488372093
</br>
f1: 0.8181818181818182## How to Use the model:#### Or, if you want only the final class:

Created by Daniel Smotritsky & Ori Suchy
<br>
GitHub
<iframe src="URL style="border:none;height:1024px;width:100%">