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Add new SentenceTransformer model.

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  1. README.md +27 -27
  2. model.safetensors +1 -1
README.md CHANGED
@@ -12,31 +12,31 @@ tags:
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  - dataset_size:200
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  - loss:SoftmaxLoss
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  widget:
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- - source_sentence: ' AIs conversational abilities are becoming more human-like,'
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  sentences:
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- - ' AI-generated presentations are often high-quality,'
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- - ' AIs conversational prowess rivals that of humans,'
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- - ' I feel intimidated by the complexity of AI technologies,'
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- - source_sentence: ' AI-generated presentations are often high-quality,'
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  sentences:
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- - ' AIs progress poses risks to current job structures,'
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- - ' I get nervous when I have to use AI for complex tasks,'
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- - ' AI could lead to significant shifts in employment trends,'
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  - source_sentence: ' AIs data cleaning quality is impressive,'
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  sentences:
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- - ' I am anxious about relying on AI for critical decisions,'
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  - ' AI could make many existing job roles redundant,'
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- - ' AI could greatly impact the future job landscape,'
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- - source_sentence: ' Relying on AI for critical thinking tasks makes me nervous,'
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  sentences:
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- - ' The rise of AI is creating job displacement fears,'
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- - ' The rapid growth of AI makes me uneasy,'
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- - ' I hesitate to use AI-powered tools without supervision,'
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- - source_sentence: ' AIs efficiency in data mining is impressive,'
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  sentences:
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- - ' AI will possibly replace customer service jobs,'
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- - ' AIs interactive capabilities feel almost human,'
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- - ' AI enhances my capability to manage diverse projects,'
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  ---
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  # SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
@@ -89,9 +89,9 @@ from sentence_transformers import SentenceTransformer
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  model = SentenceTransformer("zihoo/all-MiniLM-L6-v2-AINLI")
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  # Run inference
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  sentences = [
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- ' AIs efficiency in data mining is impressive,',
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- ' AI will possibly replace customer service jobs,',
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- ' AI enhances my capability to manage diverse projects,',
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  ]
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  embeddings = model.encode(sentences)
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  print(embeddings.shape)
@@ -152,13 +152,13 @@ You can finetune this model on your own dataset.
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  | | sentence_0 | sentence_1 | label |
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  |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------|
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  | type | string | string | int |
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- | details | <ul><li>min: 8 tokens</li><li>mean: 11.91 tokens</li><li>max: 16 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 11.91 tokens</li><li>max: 16 tokens</li></ul> | <ul><li>0: ~9.00%</li><li>1: ~69.00%</li><li>2: ~22.00%</li></ul> |
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  * Samples:
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- | sentence_0 | sentence_1 | label |
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- |:----------------------------------------------------------------|:-------------------------------------------------------------------|:---------------|
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- | <code> AI-generated stories feel incredibly human,</code> | <code> Using AI tools makes me feel anxious,</code> | <code>2</code> |
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- | <code> AI-generated dialogue feels convincingly human,</code> | <code> AI could greatly impact the future job landscape,</code> | <code>1</code> |
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- | <code> AI helps me manage my schedule more efficiently,</code> | <code> AI can recognize and respond to human-like sarcasm,</code> | <code>1</code> |
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  * Loss: [<code>SoftmaxLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#softmaxloss)
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  ### Training Hyperparameters
 
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  - dataset_size:200
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  - loss:SoftmaxLoss
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  widget:
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+ - source_sentence: ' AI streamlines data management systems effectively,'
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  sentences:
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+ - ' AI threatens the job security of call center employees,'
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+ - ' AI can replicate human-like intuition in specific domains,'
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+ - ' AI can replicate humorous interactions similar to humans,'
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+ - source_sentence: ' The future of jobs looks uncertain due to AI,'
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  sentences:
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+ - ' AI systems can autonomously finetune their models,'
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+ - ' AIs standard for data accuracy is commendable,'
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+ - ' The complexity of AI functionalities can be daunting,'
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  - source_sentence: ' AIs data cleaning quality is impressive,'
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  sentences:
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+ - ' AI adoption could lead to transformative job restructuring,'
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  - ' AI could make many existing job roles redundant,'
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+ - ' The quality of AI in content generation is notable,'
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+ - source_sentence: ' AI improves my productivity by handling repetitive tasks,'
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  sentences:
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+ - ' I feel apprehensive about AIs future implications,'
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+ - ' The spread of AI technology is a threat to job security,'
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+ - ' AI adapts to varying user inputs accurately,'
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+ - source_sentence: ' AI effortlessly adapts to real-time user inputs,'
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  sentences:
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+ - ' The rapid adoption of AI may lead to job insecurity,'
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+ - ' AI-generated dialogue feels convincingly human,'
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+ - ' I am anxious about relying on AI for critical decisions,'
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  ---
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  # SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
 
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  model = SentenceTransformer("zihoo/all-MiniLM-L6-v2-AINLI")
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  # Run inference
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  sentences = [
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+ ' AI effortlessly adapts to real-time user inputs,',
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+ ' The rapid adoption of AI may lead to job insecurity,',
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+ ' I am anxious about relying on AI for critical decisions,',
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  ]
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  embeddings = model.encode(sentences)
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  print(embeddings.shape)
 
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  | | sentence_0 | sentence_1 | label |
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  |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------|
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  | type | string | string | int |
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+ | details | <ul><li>min: 8 tokens</li><li>mean: 11.91 tokens</li><li>max: 16 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 11.91 tokens</li><li>max: 16 tokens</li></ul> | <ul><li>0: ~12.00%</li><li>1: ~1.50%</li><li>2: ~86.50%</li></ul> |
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  * Samples:
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+ | sentence_0 | sentence_1 | label |
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+ |:------------------------------------------------------------------------|:------------------------------------------------------------------------|:---------------|
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+ | <code> AI advancements could eliminate various technical jobs,</code> | <code> I feel stressed about using AI in professional settings,</code> | <code>2</code> |
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+ | <code> AI systems can autonomously update their operations,</code> | <code> AI mimics human social behavior in digital assistants,</code> | <code>2</code> |
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+ | <code> AI can understand and respond to emotions during a chat,</code> | <code> The quality of AI in content generation is notable,</code> | <code>2</code> |
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  * Loss: [<code>SoftmaxLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#softmaxloss)
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  ### Training Hyperparameters
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