Add SetFit model

README.md

@@ -15,35 +15,36 @@ metrics:
 - F1-Score
 - accuracy
 widget:
-- text: Amended proposal for a Regulation of the European Parliament and of the Council
-    on establishing the framework for achieving climate neutrality and amending Regulation
-    (EU) 2018/1999 (European Climate Law). COM(2020) 563 (currently undergoing the
-    EU internal legislative process)↩︎. Council conclusions of 7 March 2011 on European
-    Pact for Gender Equality (2011-2020)↩︎. Council conclusions of 9 April 2019, Towards
-    an ever more sustainable Union by 2030↩︎. Council conclusions of 15 May 2017 on
-    Indigenous Peoples↩︎. Regulation (EU) 2018/1999↩︎.
-- text: 'Development of 15,000 ha of shallows and irrigated areas and their exploitation
-    for the intensive rice cultivation system. Agriculture, water. 705. 28. Development
-    of research on health and climate change: total of three activities. Health. 690.
-    29. Audit of plans to develop all classified or protected forests for updating
-    purposes. Forests-land use. 685. 30. Strengthening of capabilities to forecast
-    and respond to phenomena associated with climate change: creation of an MT health
-    care monitoring centre. Health. 680. 31. Participative development of sustainable
-    land.'
-- text: The Ministry of Health notes that any adaptation work should prioritise vulnerable
-    populations. It also considers that more work is needed in health system planning,
-    to accommodate a potential increase in migrants and refugees
-- text: 'The overall outcome is to ensure that projects and programmes are gender
-    responsive: meaning that it aims to go beyond gender sensitivity to actively promote
-    gender equality and women’s empowerment. The country is committed to achieving
-    SDG 5: Gender equality by promoting low carbon development where men and women
-    contributions to climate change mitigation and adaptation are recognized and valued,
-    existing gender inequalities are reduced and opportunities for effective empowerment
-    for women are promoted.'
-- text: Cities depend heavily on other cities and regions to provide them with indispensable
-    services such as food, water and energy and the infrastructure to deliver them.
-    Ecosystem services from surrounding regions provide fresh air, store or drain
-    flood water as well as drinking water
+- text: To support the traditional knowledge and adaptive capacity of indigenous peoples
+    in the face of climate change, we aim to establish 50 community-based adaptation
+    projects led by indigenous peoples by 2030, focusing on the sustainable management
+    of natural resources and the preservation of cultural practices.
+- text: Measures related to climate change are incorporated into national policies,
+    strategies and plans. In this regard, mechanisms are also promoted to increase
+    capacity for effective planning and management in relation to climate change.
+    SDG No. 14 (Marine life). Adaptation. There is a link between the Coastal Marine
+    Resources sector in the measures proposed in this document and the indicators
+    of this SDG regarding the sustainable management and conservation of marine and
+    coastal ecosystems to achieve an increase in their climate resilience. SDG No.
+- text: ' Pathways with higher demand for food, feed, and water, more resource-intensive
+    consumption and production, and more limited technological improvements in agriculture
+    yields result in higher risks from water scarcity in drylands, land degradation,
+    and food insecurity 1. This means that communities that rely on agriculture for
+    their livelihoods are at risk of losing their crops and experiencing food shortages
+    due to climate change.'
+- text: The population aged 60 years and above is projected to increase from almost
+    one million (988,000) in 2000 to over six million (6,319,000) by 2050. The female
+    aged population will continue to grow faster and will increasingly be far higher
+    than the male population for the advanced ages. Policies addressing the needs
+    of the elderly will have to take the sex structure of the aged population into
+    consideration.
+- text: Indigenous peoples who choose or are forced to migrate away from their traditional
+    lands often face double discrimination as both migrants and as indigenous peoples.
+    Indigenous peoples may be more vulnerable to irregular migration such as trafficking
+    and smuggling, owing to sudden displacement by a climactic event, limited legal
+    migration options and limited opportunities to make informed choices. Deforestation,
+    particularly in developing countries, is pushing indigenous families to migrate
+    to cities for economic reasons, often ending up in urban slums.
 pipeline_tag: text-classification
 inference: false
 base_model: sentence-transformers/all-mpnet-base-v2
@@ -59,28 +60,28 @@ model-index:
       split: test
     metrics:
     - type: Precision_micro
-      value: 0.7692307692307693
+      value: 0.7762237762237763
       name: Precision_Micro
     - type: Precision_weighted
-      value: 0.7748199704721445
+      value: 0.7968800430338892
       name: Precision_Weighted
     - type: Precision_samples
-      value: 0.7692307692307693
+      value: 0.7762237762237763
       name: Precision_Samples
     - type: Recall_micro
-      value: 0.7692307692307693
+      value: 0.7762237762237763
       name: Recall_Micro
     - type: Recall_weighted
-      value: 0.7692307692307693
+      value: 0.7762237762237763
       name: Recall_Weighted
     - type: Recall_samples
-      value: 0.7692307692307693
+      value: 0.7762237762237763
       name: Recall_Samples
     - type: F1-Score
-      value: 0.7692307692307693
+      value: 0.7762237762237763
       name: F1-Score
     - type: accuracy
-      value: 0.7692307692307693
+      value: 0.7762237762237763
       name: Accuracy
 ---
 
@@ -116,7 +117,7 @@ The model has been trained using an efficient few-shot learning technique that i
 ### Metrics
 | Label   | Precision_Micro | Precision_Weighted | Precision_Samples | Recall_Micro | Recall_Weighted | Recall_Samples | F1-Score | Accuracy |
 |:--------|:----------------|:-------------------|:------------------|:-------------|:----------------|:---------------|:---------|:---------|
-| **all** | 0.7692          | 0.7748             | 0.7692            | 0.7692       | 0.7692          | 0.7692         | 0.7692   | 0.7692   |
+| **all** | 0.7762          | 0.7969             | 0.7762            | 0.7762       | 0.7762          | 0.7762         | 0.7762   | 0.7762   |
 
 ## Uses
 
@@ -136,7 +137,7 @@ from setfit import SetFitModel
 # Download from the 🤗 Hub
 model = SetFitModel.from_pretrained("leavoigt/vulnerability_target")
 # Run inference
-preds = model("The Ministry of Health notes that any adaptation work should prioritise vulnerable populations. It also considers that more work is needed in health system planning, to accommodate a potential increase in migrants and refugees")
+preds = model("To support the traditional knowledge and adaptive capacity of indigenous peoples in the face of climate change, we aim to establish 50 community-based adaptation projects led by indigenous peoples by 2030, focusing on the sustainable management of natural resources and the preservation of cultural practices.")
 ```
 
 <!--
@@ -168,7 +169,7 @@ preds = model("The Ministry of Health notes that any adaptation work should prio
 ### Training Set Metrics
 | Training set | Min | Median  | Max |
 |:-------------|:----|:--------|:----|
-| Word count   | 15  | 72.4819 | 238 |
+| Word count   | 15  | 70.8675 | 238 |
 
 ### Training Hyperparameters
 - batch_size: (16, 16)
@@ -191,23 +192,23 @@ preds = model("The Ministry of Health notes that any adaptation work should prio
 ### Training Results
 | Epoch  | Step | Training Loss | Validation Loss |
 |:------:|:----:|:-------------:|:---------------:|
-| 0.0012 | 1    | 0.2938        | -               |
-| 0.0602 | 50   | 0.2188        | -               |
-| 0.1205 | 100  | 0.1733        | -               |
-| 0.1807 | 150  | 0.1578        | -               |
-| 0.2410 | 200  | 0.02          | -               |
-| 0.3012 | 250  | 0.0028        | -               |
-| 0.3614 | 300  | 0.0004        | -               |
-| 0.4217 | 350  | 0.0011        | -               |
-| 0.4819 | 400  | 0.0008        | -               |
-| 0.5422 | 450  | 0.0005        | -               |
-| 0.6024 | 500  | 0.0002        | -               |
-| 0.6627 | 550  | 0.0002        | -               |
-| 0.7229 | 600  | 0.0004        | -               |
-| 0.7831 | 650  | 0.0332        | -               |
-| 0.8434 | 700  | 0.0003        | -               |
-| 0.9036 | 750  | 0.0003        | -               |
-| 0.9639 | 800  | 0.0004        | -               |
+| 0.0012 | 1    | 0.3493        | -               |
+| 0.0602 | 50   | 0.2285        | -               |
+| 0.1205 | 100  | 0.1092        | -               |
+| 0.1807 | 150  | 0.1348        | -               |
+| 0.2410 | 200  | 0.0365        | -               |
+| 0.3012 | 250  | 0.0052        | -               |
+| 0.3614 | 300  | 0.0012        | -               |
+| 0.4217 | 350  | 0.0031        | -               |
+| 0.4819 | 400  | 0.0001        | -               |
+| 0.5422 | 450  | 0.0011        | -               |
+| 0.6024 | 500  | 0.0001        | -               |
+| 0.6627 | 550  | 0.0001        | -               |
+| 0.7229 | 600  | 0.0001        | -               |
+| 0.7831 | 650  | 0.0002        | -               |
+| 0.8434 | 700  | 0.0001        | -               |
+| 0.9036 | 750  | 0.0001        | -               |
+| 0.9639 | 800  | 0.0001        | -               |
 
 ### Framework Versions
 - Python: 3.10.12

model_head.pkl

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 size 13956

pytorch_model.bin

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