Push model using huggingface_hub.
Browse files- README.md +92 -79
- model.safetensors +1 -1
- model_head.pkl +1 -1
README.md
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- text-classification
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- generated_from_setfit_trainer
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widget:
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inference: true
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model-index:
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- name: SetFit with akhooli/sbert_ar_nli_500k_norm
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split: test
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metrics:
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- type: accuracy
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name: Accuracy
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---
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- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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### Model Labels
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| Label | Examples
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## Evaluation
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### Metrics
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| Label | Accuracy |
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|:--------|:---------|
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| **all** | 0.
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## Uses
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("akhooli/setfit_ar_hs")
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# Run inference
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preds = model("
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```
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<!--
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### Training Set Metrics
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| Training set | Min | Median | Max |
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|:-------------|:----|:--------|:----|
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| Word count | 1 |
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| Label | Training Sample Count |
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|:---------|:----------------------|
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| negative |
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| positive |
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### Training Hyperparameters
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- batch_size: (32, 32)
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- warmup_proportion: 0.1
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- l2_weight: 0.01
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- seed: 42
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- run_name:
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- eval_max_steps: -1
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- load_best_model_at_end: False
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### Training Results
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| Epoch | Step | Training Loss | Validation Loss |
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|:------:|:----:|:-------------:|:---------------:|
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### Framework Versions
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- Python: 3.10.14
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- text-classification
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- generated_from_setfit_trainer
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widget:
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- text: 'بلد مخيف، صار القتل بحجه الشرف متل قتل بعوضة، واللي بيخوف اكتر من اللي واقف
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مكتف ايديه ومش مساعد. وين كنآ، ووين وصلنآ، لمتى حنضل عايشين وساكتين!
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'
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- text: "من خلال المتابعة ..يتضح أن أكثر اللاعبين الذين يتم تسويقهم هم لاعبي امريكا\
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\ الجنوبية وأقلهم الافارقة. \nمن خلال الواقع ..أكثر اللاعبين تهاونا ولعب على\
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\ الواقف في آخر ٦ شهور من عقودهم هم لاعبي امريكا الجنوبية ."
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- text: ' علم الحزب يا فهمانه ما حطوا لانه عم يحكي وطنيا ومشان ماحدا متلك يعترض. اذا
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حطوا بتعترضي واذا ما حطوا كمان بتعترضي.'
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- text: "شيوعي \nعلماني \nمسيحي\nانصار سنه \nصوفي \nيمثلك التجمع \nلا يمثلك التجمع\
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\ \nاهلا بكم جميعا فنحن نريد بناء وطن ❤"
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- text: كنا نهرب بحصة الرياضيات والمحاسبة وبنرجع آخر الحصة بخمس دئايئ ولمن تسئلنا
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المعلمة بنحكيلها كنا عند المديرة وبتسدئنا وضلينا
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inference: true
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model-index:
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- name: SetFit with akhooli/sbert_ar_nli_500k_norm
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split: test
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metrics:
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- type: accuracy
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value: 0.8606060606060606
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name: Accuracy
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---
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- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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### Model Labels
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| Label | Examples |
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|:---------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| positive | <ul><li>' سبحان الله الفلسطينيين شعب خاين في كل مكان \nلاحول ولا قوة إلا بالله'</li><li>'يا بيك عّم تخبرنا عن شي ما فينا تعملو نحن ماًعندنا نواب ولا وزراء بمثلونا بالدولة الا اذا زهقان وعبالك ليك'</li><li>'جوز كذابين منافقين...'</li></ul> |
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| negative | <ul><li>'ربي لا تجعلني أسيء الظن بأحد ولا تجعل في قلبي شيئا على أحد ، اللهم أسألك قلباً نقياً صافيا'</li><li>'هشام حداد عامل فيها جون ستيوارت'</li><li>' بحياة اختك من وين بتجيبي اخبارك؟؟ من صغري وانا عبالي كون... LINK'</li></ul> |
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## Evaluation
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### Metrics
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| Label | Accuracy |
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|:--------|:---------|
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| **all** | 0.8606 |
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## Uses
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("akhooli/setfit_ar_hs")
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# Run inference
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preds = model("شيوعي
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علماني
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مسيحي
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انصار سنه
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صوفي
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يمثلك التجمع
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لا يمثلك التجمع
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اهلا بكم جميعا فنحن نريد بناء وطن ❤")
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```
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<!--
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### Training Set Metrics
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| Training set | Min | Median | Max |
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|:-------------|:----|:--------|:----|
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| Word count | 1 | 18.8448 | 185 |
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| Label | Training Sample Count |
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|:---------|:----------------------|
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| negative | 5200 |
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| positive | 4943 |
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### Training Hyperparameters
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- batch_size: (32, 32)
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- warmup_proportion: 0.1
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- l2_weight: 0.01
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- seed: 42
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- run_name: setfit_hate_52k_aub_6k
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- eval_max_steps: -1
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- load_best_model_at_end: False
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### Training Results
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| Epoch | Step | Training Loss | Validation Loss |
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### Framework Versions
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- Python: 3.10.14
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model.safetensors
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model_head.pkl
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size 7007
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