README.md

---
base_model: gpt2
language: en
license: mit
metrics:
- sarcasm
- similarity
tags:
- sarcasm
pretty_name: GP2 Sarcasm Defuser
model-index:
- name: maxmarcon/gpt2-sarcasm-defuser
  results:
  - task:
      type: defusing_sarcasm
    dataset:
      name: custom
      type: text
    metrics:
    - type: sarcasm_prob_neutral
      value: 0.2328913807868957
      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0161851406097412
      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0029756426811218
      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0065764486789703
      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.009607195854187
      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0149647593498229
      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0235714588535399
      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.110023406418887
      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0031538605690002
      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0089910924434661
      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.022083044052124
      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.091151475906372
      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.1978114994599398
      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 1.0
      name: similarity:max
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.6542656855149702
      name: similarity:mean
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.2518211007118225
      name: similarity:min
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.5274418592453003
      name: similarity:q1
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.6688193082809448
      name: similarity:q2
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.7873265445232391
      name: similarity:q3
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.1720743286675844
      name: similarity:std
      config: generate_params:do_sample=False, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.3245831131935119
      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.016161470943027
      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0029756426811218
      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0065452754497528
      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0094119310379028
      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0139366090297698
      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0257804026878763
      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.110023406418887
      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0031538605690002
      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0089910924434661
      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.022083044052124
      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.091151475906372
      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.1978114994599398
      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 1.0
      name: similarity:max
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.6568884129476066
      name: similarity:mean
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.2869497537612915
      name: similarity:min
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.5344727635383606
      name: similarity:q1
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.6697214245796204
      name: similarity:q2
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.7842254042625427
      name: similarity:q3
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.1712990878938143
      name: similarity:std
      config: generate_params:do_sample=False, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.3245831131935119
      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0162501368859801
      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0029756426811218
      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0065452754497528
      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0094119310379028
      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0139366090297698
      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0260672350559282
      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.110023406418887
      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0031538605690002
      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0089910924434661
      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.022083044052124
      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.091151475906372
      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.1978114994599398
      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 1.0
      name: similarity:max
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.6568384253015422
      name: similarity:mean
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.2869497537612915
      name: similarity:min
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.5344727635383606
      name: similarity:q1
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.6697214245796204
      name: similarity:q2
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.7842254042625427
      name: similarity:q3
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.171345409101205
      name: similarity:std
      config: generate_params:do_sample=False, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.4172882437705993
      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0233829947433086
      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.003639280796051
      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0068549215793609
      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0102081298828125
      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0187851786613464
      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0469090104442128
      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.110023406418887
      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0031538605690002
      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0089910924434661
      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.022083044052124
      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.091151475906372
      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.1978114994599398
      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 1.0
      name: similarity:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.570633092718293
      name: similarity:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.1173228994011879
      name: similarity:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.4627669155597687
      name: similarity:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.5596153736114502
      name: similarity:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.6843495965003967
      name: similarity:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.1575819915734438
      name: similarity:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.568844199180603
      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.017544420560201
      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0030129551887512
      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0068865418434143
      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0092573761940002
      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0145006775856018
      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0377005917348254
      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.110023406418887
      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0031538605690002
      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0089910924434661
      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.022083044052124
      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.091151475906372
      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.1978114994599398
      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 1.0
      name: similarity:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.6358113196161058
      name: similarity:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.1631500720977783
      name: similarity:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.5133293569087982
      name: similarity:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.6415138840675354
      name: similarity:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.7617131471633911
      name: similarity:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.1681002776726006
      name: similarity:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.7979445457458496
      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0302211797598636
      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0033375024795532
      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0069609880447387
      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0104315876960754
      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0212225914001464
      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0709936277855567
      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.110023406418887
      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0031538605690002
      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0089910924434661
      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.022083044052124
      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.091151475906372
      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.1978114994599398
      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.9130617380142212
      name: similarity:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.4912839127610428
      name: similarity:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.1323267668485641
      name: similarity:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=50, generate_params:temperature=1.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_orig:max
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        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_orig:std
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        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: similarity:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=1.0,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:max
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        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:mean
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        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:min
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        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_orig:q2
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        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: similarity:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:mean
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        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: similarity:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: similarity:q2
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        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      config: generate_params:do_sample=True, generate_params:max_new_tokens=20, generate_params:temperature=0.5,
        model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      value: 0.0089910924434661
      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
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      value: 0.022083044052124
      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.4905489937374086
      name: similarity:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: -0.0387373492121696
      name: similarity:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.3910759389400482
      name: similarity:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.4927113056182861
      name: similarity:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.5924655199050903
      name: similarity:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.14396961153151
      name: similarity:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.4649418592453003
      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0223628177787318
      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0035538077354431
      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0065078437328338
      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0094631314277648
      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0177999138832092
      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.110023406418887
      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0031538605690002
      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0089910924434661
      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.022083044052124
      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.1978114994599398
      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 1.0
      name: similarity:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.1464924365282058
      name: similarity:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.4291093200445175
      name: similarity:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.4547992348670959
      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0174626997022917
      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0034579634666442
      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0066698789596557
      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0094377398490905
      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0138859748840332
      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
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      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0031538605690002
      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
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      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.022083044052124
      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.091151475906372
      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.1978114994599398
      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 1.0
      name: similarity:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.1979925036430359
      name: similarity:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.5204558372497559
      name: similarity:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
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      name: similarity:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.9587106704711914
      name: sarcasm_prob_neutral:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0357202826124249
      name: sarcasm_prob_neutral:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.00368332862854
      name: sarcasm_prob_neutral:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0068240761756896
      name: sarcasm_prob_neutral:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.010252833366394
      name: sarcasm_prob_neutral:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.0202736556529998
      name: sarcasm_prob_neutral:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_neutral
      value: 0.1000253674325391
      name: sarcasm_prob_neutral:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.110023406418887
      name: sarcasm_prob_orig:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0031538605690002
      name: sarcasm_prob_orig:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.0089910924434661
      name: sarcasm_prob_orig:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.022083044052124
      name: sarcasm_prob_orig:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.091151475906372
      name: sarcasm_prob_orig:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: sarcasm_prob_orig
      value: 0.1978114994599398
      name: sarcasm_prob_orig:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 1.0
      name: similarity:max
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.4827908274049711
      name: similarity:mean
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.0905107259750366
      name: similarity:min
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.3829907923936844
      name: similarity:q1
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.4826304316520691
      name: similarity:q2
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.5814119577407837
      name: similarity:q3
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    - type: similarity
      value: 0.1467053028395843
      name: similarity:std
      config: generate_params:do_sample=True, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, model=maxmarcon/gpt2-sarcasm-defuser, sarcasm_model=helinivan/english-sarcasm-detector,
        similarity_model=multi-qa-mpnet-base-dot-v1
    source:
      url: https://www.kaggle.com/datasets/danofer/sarcasm/data
      name: kaggle
---
# GP2 Sarcasm Defuser

## Description


GPT-2 model (small 0.1B parameters) fine-tuned to defues sarcasm. Example:

```
Prompt: So glad investment bankers and hedge funds make so much on the low wages these guys get.<|BOS|>
Generated after prompt: It's concerning that investment bankers and hedge funds are making so much on the low wages these workers receive.
```

(The model use the special `<|BOS|>` token as a marker for where the generated, defuse comment should start).


## Training and Evaluation 

The model has been trained on ~4500 sarcastic comments from the [Sarcasm on Reddit](https://www.kaggle.com/datasets/danofer/sarcasm/data) Kaggle dataset. The dataset includes
a selection of comments from Reddit that were marked as sarcastic by the author of the comment.
Another ~500 comments have been used to test the trained model's performance.

In order to teach the model what a defused, not sarcastic comment looks like, we used a more powerful LLM to generate defused comments for the Kaggle dataset.
We used the [gemma-3-12b-it](https://ai.google.dev/gemma/docs/core) model with 12B parameters and we queried via the Google API with the following prompt for each comment:

```
given this sarcastic comment: <SARCASTIC_COMMENT>,
which is a response to this other comment: <CONTEXT>,
remove all the sarcasm from it while keeping the original meaning. Don't output anything else, and don't try to describe the comment in the third person",
```

where `<SARCASTIC_COMMENT>` is the sarcastic comment from the Kaggle dataset and `<CONTEXT>` is the comment that preceded the sarcstic comment (this comment was also 
available as part of the Kaggle dataset). This gives the LLM additional information on how to "translate" the sarcastic comment into a "normal" one.


## How to use

Coming soon