Push model using huggingface_hub.
Browse files- README.md +81 -79
- config_sentence_transformers.json +2 -2
- config_setfit.json +2 -2
- 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_ubc_norm
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split: test
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metrics:
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- type: accuracy
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value: 0.
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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_ubc_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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- SetFit: 1.2.0.dev0
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- Sentence Transformers: 3.
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- Transformers: 4.45.1
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- PyTorch: 2.4.0
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- Datasets: 3.0.1
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- text-classification
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- generated_from_setfit_trainer
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widget:
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- text: عيب يا كلبة لما تجيبي سيرة مصر وتقولي عليها شعب فقير ومشرد يا لبنانيين يا
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انجاس, فعلا ده انتو شعب كلاب
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- text: قوية
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- text: '#لو_ينقطع_المكياج
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اتوقع في هالزمن الذكور اللي بيبكون عليه مو البنات😂😂'
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- text: كول هوا وسد بوزك معلمك لجاسوس لمجرم بدو شد شعر لشايب
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- text: هاد سعودي ، وانت خليك بحالك يا سوري ولا انت تقليد سوري
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inference: true
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model-index:
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- name: SetFit with akhooli/sbert_ar_nli_500k_ubc_norm
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split: test
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metrics:
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- type: accuracy
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value: 0.858508604206501
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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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| negative | <ul><li>'نحن نثق بال قضاء اللبناني'</li><li>'مابين السطور.....\nالمنطقة الآمنة ستكون منطقة آمنة برعاية أمريكية لحماية الأكراد من تركيا.....'</li><li>'لم يكن خطاب الوزير جبران باسيل في إفتتاح القمة الإقتصادية بمستوى تطلعات اللبنانيين فبدل أن يركز لإطلاع الوفود على ما يع...'</li></ul> |
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| positive | <ul><li>'هيدا العلم صار مماسح للصرامي انت عايشه بكوكب تاني حالتك بالويل الشهره مش هيك وحياتك لما بتك...'</li><li>'سليل الحسب فعلا سليل الجحش ابن الجحش ابن الوحش سليله حيونه بامتياز'</li><li>'سارقا من عند اومك مش شايف قديش بتشبها هيدي كانت تقعدك عليها لما تعزب يا نوتي ونسيت قلك كول هوا'</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** | 0.8585 |
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## Uses
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("akhooli/setfit_ar_ubc_hs")
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# Run inference
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preds = model("قوية")
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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 | 14.4687 | 102 |
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| Label | Training Sample Count |
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|:---------|:----------------------|
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| negative | 2669 |
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| positive | 3200 |
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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_32kv8
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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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- SetFit: 1.2.0.dev0
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- Sentence Transformers: 3.3.0
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- Transformers: 4.45.1
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- PyTorch: 2.4.0
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- Datasets: 3.0.1
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config_sentence_transformers.json
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{
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"__version__": {
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"transformers": "4.45.1",
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"pytorch": "2.4.0"
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},
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"prompts": {},
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"default_prompt_name": null,
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"__version__": {
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"transformers": "4.45.1",
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"pytorch": "2.4.0"
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},
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"prompts": {},
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"default_prompt_name": null,
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"similarity_fn_name": "cosine"
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}
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config_setfit.json
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{
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"labels": [
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}
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{
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"labels": [
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"normalize_embeddings": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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model_head.pkl
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version https://git-lfs.github.com/spec/v1
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size 7007
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