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gpt2-medium-sarcasm-defuser

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  ---
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  library_name: transformers
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  tags: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Card for Model ID
 
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  ---
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  library_name: transformers
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  tags: []
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+ model-index:
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+ - name: maxmarcon/gpt2-medium-sarcasm-defuser
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+ results:
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+ - task:
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+ type: defusing_sarcasm
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+ dataset:
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+ name: custom
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+ type: text
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+ metrics:
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+ - type: similarity
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+ value: 0.6692146729339253
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+ name: similarity:mean
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: similarity
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+ value: 0.15275692707954536
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+ name: similarity:std
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: similarity
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+ value: 0.2344454526901245
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+ name: similarity:min
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: similarity
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+ value: 1.0
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+ name: similarity:max
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: similarity
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+ value: 0.5613795518875122
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+ name: similarity:q1
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: similarity
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+ value: 0.6766248941421509
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+ name: similarity:q2
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: similarity
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+ value: 0.7831389009952545
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+ name: similarity:q3
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_orig
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+ value: 0.11002340846591525
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+ name: sarcasm_prob_orig:mean
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_orig
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+ value: 0.1978115006771518
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+ name: sarcasm_prob_orig:std
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_orig
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+ value: 0.003153860569000244
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+ name: sarcasm_prob_orig:min
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_orig
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+ value: 0.9518612027168274
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+ name: sarcasm_prob_orig:max
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_orig
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+ value: 0.008991092443466187
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+ name: sarcasm_prob_orig:q1
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_orig
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+ value: 0.022083044052124023
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+ name: sarcasm_prob_orig:q2
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_orig
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+ value: 0.09115147590637207
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+ name: sarcasm_prob_orig:q3
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_neutral
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+ value: 0.022446100639574456
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+ name: sarcasm_prob_neutral:mean
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_neutral
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+ value: 0.059309206709771405
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+ name: sarcasm_prob_neutral:std
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_neutral
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+ value: 0.0031015872955322266
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+ name: sarcasm_prob_neutral:min
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_neutral
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+ value: 0.8782607913017273
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+ name: sarcasm_prob_neutral:max
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_neutral
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+ value: 0.007124572992324829
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+ name: sarcasm_prob_neutral:q1
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_neutral
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+ value: 0.009891986846923828
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+ name: sarcasm_prob_neutral:q2
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ - type: sarcasm_prob_neutral
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+ value: 0.016416192054748535
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+ name: sarcasm_prob_neutral:q3
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+ config: model=maxmarcon/gpt2-medium-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
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+ generate_params:max_new_tokens=20, generate_params:temperature=1, generate_params:do_sample=False,
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+ similarity_model=multi-qa-mpnet-base-dot-v1
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+ source:
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+ url: https://www.kaggle.com/datasets/danofer/sarcasm/data
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+ name: kaggle
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  ---
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  # Model Card for Model ID