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 / README.md

maxmarcon

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	---
	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