Push model using huggingface_hub.
Browse files- README.md +77 -97
- 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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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 | 12.
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| Label | Training Sample Count |
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|:---------|:----------------------|
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| negative |
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| positive | 2800 |
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### Training Hyperparameters
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- batch_size: (32, 32)
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- num_epochs: (1, 1)
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- max_steps:
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- sampling_strategy: undersampling
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- body_learning_rate: (2e-05, 1e-05)
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- head_learning_rate: 0.01
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### Training Results
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| Epoch | Step | Training Loss | Validation Loss |
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|:------:|:----:|:-------------:|:---------------:|
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| 1.525 | 6100 | 0.0008 | - |
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| 1.55 | 6200 | 0.0003 | - |
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| 1.575 | 6300 | 0.0009 | - |
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| 1.6 | 6400 | 0.0007 | - |
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| 1.625 | 6500 | 0.0002 | - |
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| 1.65 | 6600 | 0.0008 | - |
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| 1.675 | 6700 | 0.0005 | - |
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| 1.7 | 6800 | 0.0005 | - |
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| 1.725 | 6900 | 0.0005 | - |
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| 1.75 | 7000 | 0.0004 | - |
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| 1.775 | 7100 | 0.001 | - |
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| 1.8 | 7200 | 0.0006 | - |
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| 1.825 | 7300 | 0.0003 | - |
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| 1.85 | 7400 | 0.0004 | - |
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| 1.875 | 7500 | 0.0002 | - |
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| 1.9 | 7600 | 0.0002 | - |
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| 1.925 | 7700 | 0.0001 | - |
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| 1.95 | 7800 | 0.0002 | - |
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| 1.975 | 7900 | 0.0002 | - |
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| 2.0 | 8000 | 0.0002 | - |
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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: الوزير جبران باسيل الافضل لمحاربة الفساد
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- text: صح بشار ابن كلب بس قليل اللي عم يعملوا بالسوريين شعب عرص منافق بلا ضمير بيكون
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لاجئ بيصير بده يتطاول عللي مستضيفه
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- text: التشكيك بصدق باسيل التشكيك بصدق السيد
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- text: احترم مشايخنا يا قرد يا حقير يا نتن يا عفن يا كيس باطون
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- text: حياة سندي مستشارة امين عام الامم المتحدة بان كي مون من عام مسلمة
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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: 0.8509389671361502
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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>'اكبر متخلف عرفتو الدولة اللبنانية انت هيك عم تحرق دين العيش المشترك يا عنصري ولك اني كنت ايد الرئيس'</li><li>'انت بوق ايراني مجوسي رخيص سعرك كلفول السوداني'</li><li>'الكلب المتلك بيحب يحس حالو ضيع للاسف انت كلب بشار وحسن حارس رقم'</li></ul> |
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| negative | <ul><li>'هههه قلن هيك لاصحابك هني عم بقسموها على حالن الحمدالله ما دخلنا بهالقمة يلي طلعت بالاخر كلها كرمال وديع'</li><li>'مما يعني انه كان أيضا'</li><li>'نحن طائفة تعشق الحق والحرية ولا تُحكم بالدكتاتورية'</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** | 0.8509 |
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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("التشكيك بصدق باسيل التشك��ك بصدق السيد")
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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 | 12.2249 | 52 |
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| Label | Training Sample Count |
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|:---------|:----------------------|
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| negative | 2002 |
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| positive | 2800 |
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### Training Hyperparameters
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- batch_size: (32, 32)
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- num_epochs: (1, 1)
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- max_steps: 6000
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- sampling_strategy: undersampling
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- body_learning_rate: (2e-05, 1e-05)
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- head_learning_rate: 0.01
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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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config_setfit.json
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{
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"labels": [
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"positive"
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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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size 651387752
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:72bfee8d27b9d37ed79bf5a9b42cee0b66a71a42f6e4598bb4ea7f56c4185a7d
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size 7007
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