Instructions to use maxmarcon/gpt2-medium-sarcasm-defuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use maxmarcon/gpt2-medium-sarcasm-defuser with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="maxmarcon/gpt2-medium-sarcasm-defuser")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("maxmarcon/gpt2-medium-sarcasm-defuser")
model = AutoModelForCausalLM.from_pretrained("maxmarcon/gpt2-medium-sarcasm-defuser", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use maxmarcon/gpt2-medium-sarcasm-defuser with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "maxmarcon/gpt2-medium-sarcasm-defuser"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "maxmarcon/gpt2-medium-sarcasm-defuser",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/maxmarcon/gpt2-medium-sarcasm-defuser

SGLang

How to use maxmarcon/gpt2-medium-sarcasm-defuser with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "maxmarcon/gpt2-medium-sarcasm-defuser" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "maxmarcon/gpt2-medium-sarcasm-defuser",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "maxmarcon/gpt2-medium-sarcasm-defuser" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "maxmarcon/gpt2-medium-sarcasm-defuser",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use maxmarcon/gpt2-medium-sarcasm-defuser with Docker Model Runner:
```
docker model run hf.co/maxmarcon/gpt2-medium-sarcasm-defuser
```

gpt2-medium-sarcasm-defuser

File size: 93,637 Bytes

---
library_name: transformers
tags: []
model-index:
- name: maxmarcon/gpt2-medium-sarcasm-defuser
  results:
  - task:
      type: defusing_sarcasm
    dataset:
      name: custom
      type: text
    metrics:
    - type: similarity
      value: 0.6692146729339253
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.15275692707954536
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.2344454526901245
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 1.0
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5613795518875122
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6766248941421509
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.7831389009952545
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.022446100639574456
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.059309206709771405
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.0031015872955322266
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.8782607913017273
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.007124572992324829
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.009891986846923828
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.016416192054748535
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6724115741072278
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.15147578497212238
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.23265166580677032
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 1.0
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5708399713039398
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6796988248825073
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.782392680644989
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.02095767789416843
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.05686350806829996
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.0031015872955322266
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.8782607913017273
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.006879240274429321
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.009617149829864502
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.01583021879196167
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6723023523886998
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.15165942673504335
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.23265166580677032
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 1.0
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5708399713039398
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6796988248825073
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.782392680644989
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.020950352543532245
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.056865228568066244
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.0031015872955322266
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.8782607913017273
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.006858468055725098
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.009617149829864502
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.01583021879196167
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=False, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6170533623659249
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.16881302901027803
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.14063379168510437
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 1.0
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.4953359514474869
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6182631254196167
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.7400194406509399
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.02381677579398107
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.041909136150211246
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.003619968891143799
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.3569623827934265
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.006950199604034424
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.010182440280914307
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.019222021102905273
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6615278741325995
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.16085835045172403
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.17281773686408997
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 1.0
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.549351155757904
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6653466820716858
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.77909055352211
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.02325714754335808
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.05558339584674537
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.0027811527252197266
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.6108058094978333
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.006555289030075073
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.009607434272766113
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.015458106994628906
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5581986648115245
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.16650440599261013
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.11364392191171646
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.9620433449745178
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.4390857070684433
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5672252774238586
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.674152284860611
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.032055613970515706
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.07731267467344445
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.0033302903175354004
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.9407755732536316
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.0068111419677734375
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.011088132858276367
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.021375417709350586
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=50,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6179876097223975
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.15590832242131505
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.14318466186523438
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 1.0
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5051048696041107
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6157465577125549
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.726386308670044
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.024533529113037418
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.05654742585845212
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.0033133625984191895
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.8615401387214661
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.006872385740280151
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.010253310203552246
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.019755065441131592
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6515735228856404
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.16162270337298001
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.21930702030658722
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 1.0
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5347531139850616
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6564527153968811
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.7788047194480896
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.020694040770482536
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.050274477618589
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.002904176712036133
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.5262411832809448
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.006893336772918701
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.00957036018371582
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.015447825193405151
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=20,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5535257904969081
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.1748092622349171
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.09866012632846832
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.978621780872345
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.43179576098918915
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5674126148223877
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6766793131828308
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.02514099713527795
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.05230799922166704
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.003104567527770996
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.5128663182258606
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.006535351276397705
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.009384989738464355
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.019541114568710327
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6286643785057646
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.1590033697402325
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.17121262848377228
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.9688725471496582
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5220305919647217
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6399514675140381
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.7392570674419403
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.025181549486487802
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.06123800650760592
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.003094613552093506
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.7561334371566772
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.006836980581283569
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.009460926055908203
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.01836642622947693
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.0, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6578411709178578
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.1582016163444251
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.19767239689826965
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 1.0
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5478101968765259
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.6601115465164185
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.774308979511261
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.020568849342037933
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.042965735890273485
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.00340193510055542
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.525922954082489
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.006734609603881836
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.009592235088348389
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.016676098108291626
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=0.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5400780088597475
      name: similarity:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.16670994478187418
      name: similarity:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.026302646845579147
      name: similarity:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.9636172652244568
      name: similarity:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.4214157164096832
      name: similarity:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.5437794923782349
      name: similarity:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: similarity
      value: 0.653914749622345
      name: similarity:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.11002340846591525
      name: sarcasm_prob_orig:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.1978115006771518
      name: sarcasm_prob_orig:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.003153860569000244
      name: sarcasm_prob_orig:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.9518612027168274
      name: sarcasm_prob_orig:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.008991092443466187
      name: sarcasm_prob_orig:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.022083044052124023
      name: sarcasm_prob_orig:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_orig
      value: 0.09115147590637207
      name: sarcasm_prob_orig:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.026046114618127995
      name: sarcasm_prob_neutral:mean
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.0603894972507537
      name: sarcasm_prob_neutral:std
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.0034897923469543457
      name: sarcasm_prob_neutral:min
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.5757284164428711
      name: sarcasm_prob_neutral:max
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.006329447031021118
      name: sarcasm_prob_neutral:q1
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.009179651737213135
      name: sarcasm_prob_neutral:q2
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    - type: sarcasm_prob_neutral
      value: 0.0171777606010437
      name: sarcasm_prob_neutral:q3
      config: sarcasm_model=helinivan/english-sarcasm-detector, generate_params:max_new_tokens=100,
        generate_params:temperature=1.5, generate_params:do_sample=True, similarity_model=multi-qa-mpnet-base-dot-v1,
        model=maxmarcon/gpt2-medium-sarcasm-defuser
    source:
      url: https://www.kaggle.com/datasets/danofer/sarcasm/data
      name: kaggle
---

# GP2 Sarcasm Defuser

## Description


GPT-2 model (medium 0.4B 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