Push model using huggingface_hub.
Browse files- README.md +14 -15
- 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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- text: '
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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.
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name: Accuracy
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---
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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")
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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 Hyperparameters
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- batch_size: (32, 32)
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- num_epochs: (
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- max_steps: -1
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- sampling_strategy: oversampling
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- body_learning_rate: (2e-05, 1e-05)
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- l2_weight: 0.01
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- seed: 42
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- eval_max_steps: -1
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- load_best_model_at_end:
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### Training Results
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| Epoch | Step | Training Loss | Validation Loss |
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|:-----:|:----:|:-------------:|:---------------:|
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| 0.125 | 1 | 0.278 | - |
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| 2.0 | 16 | - | 0.2524 |
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| 3.0 | 24 | - | 0.2543 |
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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: 'الحماقة الشاملة مثل هذه هي مسألة ذوق. '
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- text: 'إنه حلو ومضحك وساحر ومبهج تمامًا. '
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- text: 'أعتقد أن الخطأ الأول هو تصوير شاتنر في دور أستاذ أسطوري وكونيس في دور طالب
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جامعي لامع - أين هو بولي شور في دور عالم الصواريخ؟ '
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- text: 'ليس بالضبط ركب النحل '
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- text: 'يحمل هذا الفيلم الرقيق على كتفيه الرشيقتين، ويخوض تشان في الكتابة الفاسدة
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والاتجاه والتوقيت بابتسامة تقول: "إذا بقيت إيجابيًا، فربما أستطيع أن أعرض واحدة
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من أعظم صوري، المعلم السكير". ''$$ 0'
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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: 0.65
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name: Accuracy
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---
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### Metrics
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| Label | Accuracy |
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|:--------|:---------|
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| **all** | 0.65 |
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## Uses
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("akhooli/setfit")
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# Run inference
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preds = model("ليس بالضبط ركب النحل ")
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```
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<!--
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### Training Hyperparameters
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- batch_size: (32, 32)
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- num_epochs: (10, 10)
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- max_steps: -1
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- sampling_strategy: oversampling
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- body_learning_rate: (2e-05, 1e-05)
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- l2_weight: 0.01
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- seed: 42
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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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| 0.125 | 1 | 0.278 | - |
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| 6.25 | 50 | 0.0885 | - |
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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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