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1_Pooling/config.json

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+{
+    "embedding_dimension": 384,
+    "pooling_mode": "mean",
+    "include_prompt": true
+}

README.md

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 ---
-license: apache-2.0
+tags:
+- setfit
+- sentence-transformers
+- text-classification
+- generated_from_setfit_trainer
+widget:
+- text: The environment around the school is not clean.
+- text: Early marriage of girls
+- text: The community faces a challenge with the government school in their village
+    not providing proper education.
+- text: Children did not want to enroll in school and hence they did not go to school.
+- text: About children's academic progress
+metrics:
+- accuracy
+pipeline_tag: text-classification
+library_name: setfit
+inference: true
+base_model: sentence-transformers/all-MiniLM-L6-v2
 ---
+
+# SetFit with sentence-transformers/all-MiniLM-L6-v2
+
+This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
+
+The model has been trained using an efficient few-shot learning technique that involves:
+
+1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
+2. Training a classification head with features from the fine-tuned Sentence Transformer.
+
+## Model Details
+
+### Model Description
+- **Model Type:** SetFit
+- **Sentence Transformer body:** [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)
+- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
+- **Maximum Sequence Length:** 256 tokens
+- **Number of Classes:** 11 classes
+<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
+<!-- - **Language:** Unknown -->
+<!-- - **License:** Unknown -->
+
+### Model Sources
+
+- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
+- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
+- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
+
+### Model Labels
+| Label                                          | Examples                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
+|:-----------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Other Factors                                  | <ul><li>'Due to lack of education of the parents of the children, they are unable to send their children to school.'</li><li>"In some families, girls' education is not prioritized. Due to social stereotypes, household pressures, and a lack of awareness, girls' school attendance and enrollment are relatively low. As a result, girls are being deprived of education at the elementary level, which is a serious concern for their future."</li><li>'Due to development, the surrounding environment is not good and there is no awareness about education.'</li></ul> |
+| Early Marriage                                 | <ul><li>'Child marriage is another challenge facing this community.'</li><li>'Girls end up marrying their own people, which stops their education and limits their future prospects.'</li><li>'Child marriage'</li></ul>                                                                                                                                                                                                                                                                                                                                                       |
+| Unknown/Unclear                                | <ul><li>'Children are enrolled in school but do not attend school regularly.'</li><li>'The importance of education in life and the progress of children in their country and their own lives if they are educated were discussed.'</li><li>'Being sick disrupts education'</li></ul>                                                                                                                                                                                                                                                                                           |
+| Distance and Accessibility Issues              | <ul><li>'Children are unable to attend school because the school is located on the edge of the forest.'</li><li>'The school is far away from the village.'</li><li>'The school is located in a secluded area, making it difficult for children to reach there.'</li></ul>                                                                                                                                                                                                                                                                                                      |
+| Teacher Capacity and Quality Issues            | <ul><li>'There is no study in school'</li><li>'The rural woman said that there are English teachers in the schools, but the children do not know English.'</li><li>'In school, teachers make the child do cleaning work and since the school is very far away, the date of birth is not available.'</li></ul>                                                                                                                                                                                                                                                                  |
+| Poverty and Economic Barriers                  | <ul><li>'Children work in the fields with their parents.'</li><li>'Child Labor'</li><li>'Instead of going to school, children are being sent to graze goats.'</li></ul>                                                                                                                                                                                                                                                                                                                                                                                                        |
+| Safety Concerns                                | <ul><li>'Girls are unable to attend school regularly due to harassment on the way.'</li><li>'The head master discriminates against girls from lower caste by saying that these people are from lower caste, he gives them some favour in food and drinks and there is a lot of beating.'</li><li>'Parents, distressed by the harsh treatment meted out to girls, are afraid to send their children to school.'</li></ul>                                                                                                                                                       |
+| Legal Document linked Barriers                 | <ul><li>'Children are not getting enrolled in school due to lack of Aadhaar card.'</li><li>'Some girls in her village go to school, some have left after enrolling, some do not go to school due to lack of Aadhar card.'</li><li>'Admission in school is not possible due to lack of Aadhar card'</li></ul>                                                                                                                                                                                                                                                                   |
+| Parental Attitudes and Socio-Cultural Barriers | <ul><li>'Lack of coordination between girls and parents'</li><li>'Girls take wrong steps and this is also the reason why higher education is wasted.'</li><li>'Children do not go to school because of household chores.'</li></ul>                                                                                                                                                                                                                                                                                                                                            |
+| Substance Abuse and Addiction                  | <ul><li>'Parents challenged that their children do not go to school and are always busy playing games and using mobile phones.'</li><li>"Children's studies are being disrupted due to misuse of mobile phones."</li><li>'Fathers who drink alcohol often neglect their children.'</li></ul>                                                                                                                                                                                                                                                                                   |
+| School Infrastructure and Facility Issues      | <ul><li>'In Shiksha Chaupal, the parents were told that there is only a school up to class 5 in our village.'</li><li>'Lack of proper infrastructure for education.'</li><li>'When we go to Anganwadi, the Didi does not make us take care of food and cleanliness.'</li></ul>                                                                                                                                                                                                                                                                                                 |
+
+## Uses
+
+### Direct Use for Inference
+
+First install the SetFit library:
+
+```bash
+pip install setfit
+```
+
+Then you can load this model and run inference.
+
+```python
+from setfit import SetFitModel
+
+# Download from the 🤗 Hub
+model = SetFitModel.from_pretrained("setfit_model_id")
+# Run inference
+preds = model("Early marriage of girls")
+```
+
+<!--
+### Downstream Use
+
+*List how someone could finetune this model on their own dataset.*
+-->
+
+<!--
+### Out-of-Scope Use
+
+*List how the model may foreseeably be misused and address what users ought not to do with the model.*
+-->
+
+<!--
+## Bias, Risks and Limitations
+
+*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
+-->
+
+<!--
+### Recommendations
+
+*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
+-->
+
+## Training Details
+
+### Training Set Metrics
+| Training set | Min | Median  | Max |
+|:-------------|:----|:--------|:----|
+| Word count   | 1   | 15.3202 | 158 |
+
+| Label                                          | Training Sample Count |
+|:-----------------------------------------------|:----------------------|
+| Distance and Accessibility Issues              | 500                   |
+| Early Marriage                                 | 500                   |
+| Legal Document linked Barriers                 | 500                   |
+| Other Factors                                  | 500                   |
+| Parental Attitudes and Socio-Cultural Barriers | 500                   |
+| Poverty and Economic Barriers                  | 500                   |
+| Safety Concerns                                | 500                   |
+| School Infrastructure and Facility Issues      | 500                   |
+| Substance Abuse and Addiction                  | 500                   |
+| Teacher Capacity and Quality Issues            | 500                   |
+| Unknown/Unclear                                | 500                   |
+
+### Training Hyperparameters
+- batch_size: (16, 16)
+- num_epochs: (1, 1)
+- max_steps: -1
+- sampling_strategy: oversampling
+- num_iterations: 1
+- body_learning_rate: (2e-05, 1e-05)
+- head_learning_rate: 0.01
+- loss: CosineSimilarityLoss
+- distance_metric: cosine_distance
+- margin: 0.25
+- end_to_end: False
+- use_amp: False
+- warmup_proportion: 0.1
+- l2_weight: 0.01
+- seed: 42
+- eval_max_steps: -1
+- load_best_model_at_end: False
+
+### Training Results
+| Epoch  | Step | Training Loss | Validation Loss |
+|:------:|:----:|:-------------:|:---------------:|
+| 0.0015 | 1    | 0.2641        | -               |
+| 0.0727 | 50   | 0.2312        | -               |
+| 0.1453 | 100  | 0.2069        | -               |
+| 0.2180 | 150  | 0.1816        | -               |
+| 0.2907 | 200  | 0.155         | -               |
+| 0.3634 | 250  | 0.1408        | -               |
+| 0.4360 | 300  | 0.1306        | -               |
+| 0.5087 | 350  | 0.1371        | -               |
+| 0.5814 | 400  | 0.1301        | -               |
+| 0.6541 | 450  | 0.1239        | -               |
+| 0.7267 | 500  | 0.1236        | -               |
+| 0.7994 | 550  | 0.1213        | -               |
+| 0.8721 | 600  | 0.122         | -               |
+| 0.9448 | 650  | 0.1298        | -               |
+
+### Framework Versions
+- Python: 3.12.3
+- SetFit: 1.1.3
+- Sentence Transformers: 5.6.0
+- Transformers: 4.57.6
+- PyTorch: 2.13.0+cpu
+- Datasets: 2.16.1
+- Tokenizers: 0.22.2
+
+## Citation
+
+### BibTeX
+```bibtex
+@article{https://doi.org/10.48550/arxiv.2209.11055,
+    doi = {10.48550/ARXIV.2209.11055},
+    url = {https://arxiv.org/abs/2209.11055},
+    author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
+    keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
+    title = {Efficient Few-Shot Learning Without Prompts},
+    publisher = {arXiv},
+    year = {2022},
+    copyright = {Creative Commons Attribution 4.0 International}
+}
+```
+
+<!--
+## Glossary
+
+*Clearly define terms in order to be accessible across audiences.*
+-->
+
+<!--
+## Model Card Authors
+
+*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
+-->
+
+<!--
+## Model Card Contact
+
+*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
+-->

config.json

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+{
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.57.6",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

config_sentence_transformers.json

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+{
+  "__version__": {
+    "pytorch": "2.13.0+cpu",
+    "sentence_transformers": "5.6.0",
+    "transformers": "4.57.6"
+  },
+  "default_prompt_name": null,
+  "model_type": "SentenceTransformer",
+  "prompts": {
+    "document": "",
+    "query": ""
+  },
+  "similarity_fn_name": "cosine"
+}

config_setfit.json

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+{
+  "normalize_embeddings": false,
+  "labels": [
+    "Distance and Accessibility Issues",
+    "Early Marriage",
+    "Legal Document linked Barriers",
+    "Other Factors",
+    "Parental Attitudes and Socio-Cultural Barriers",
+    "Poverty and Economic Barriers",
+    "Safety Concerns",
+    "School Infrastructure and Facility Issues",
+    "Substance Abuse and Addiction",
+    "Teacher Capacity and Quality Issues",
+    "Unknown/Unclear"
+  ]
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0ad48a78394323c34100ff8d174e3a3d9d7babd21b182597ca527127cd3ab0c0
+size 90864192

model_head.pkl

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+oid sha256:da968ce364148fab9ae3f98efe5035f34230adb8f496d71df5c58c5155defcb3
+size 19811

modules.json

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+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.base.modules.transformer.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.sentence_transformer.modules.pooling.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Normalize",
+    "type": "sentence_transformers.sentence_transformer.modules.normalize.Normalize"
+  }
+]

sentence_bert_config.json

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+{
+    "transformer_task": "feature-extraction",
+    "modality_config": {
+        "text": {
+            "method": "forward",
+            "method_output_name": "last_hidden_state"
+        }
+    },
+    "module_output_name": "token_embeddings"
+}

special_tokens_map.json

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+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "max_length": 128,
+  "model_max_length": 256,
+  "never_split": null,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}