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README.md
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@@ -20,93 +20,48 @@ model-index:
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- type: similarity
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value: 0.6966928914189339
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name: similarity:mean
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config: similarity_model=multi-qa-mpnet-base-dot-v1,
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- type: similarity
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value: 0.7447585463523865
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name: similarity:median
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config: similarity_model=multi-qa-mpnet-base-dot-v1,
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- type: similarity
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value: 0.13775035898508373
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name: similarity:stddev
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config: similarity_model=multi-qa-mpnet-base-dot-v1,
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- type: sarcasm_prob_orig
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value: 0.10705406665802002
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name: sarcasm_prob_orig:mean
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config: similarity_model=multi-qa-mpnet-base-dot-v1,
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- type: sarcasm_prob_orig
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value: 0.0074940025806427
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name: sarcasm_prob_orig:median
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config: similarity_model=multi-qa-mpnet-base-dot-v1,
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- type: sarcasm_prob_orig
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value: 0.29404494396735864
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name: sarcasm_prob_orig:stddev
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config: similarity_model=multi-qa-mpnet-base-dot-v1,
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- type: sarcasm_prob_neutral
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value: 0.00566185712814331
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name: sarcasm_prob_neutral:mean
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-
config: similarity_model=multi-qa-mpnet-base-dot-v1,
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- type: sarcasm_prob_neutral
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value: 0.004815280437469482
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name: sarcasm_prob_neutral:median
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-
config: similarity_model=multi-qa-mpnet-base-dot-v1,
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- type: sarcasm_prob_neutral
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value: 0.003063929800346246
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name: sarcasm_prob_neutral:stddev
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-
config: similarity_model=multi-qa-mpnet-base-dot-v1,
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-
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value: 0.4804569333791733
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name: similarity:mean
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config: similarity_model=multi-qa-mpnet-base-dot-v1, model=maxmarcon/gpt2-sarcasm-defuser,
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generate_params:max_new_tokens=10, generate_params:temperature=1, generate_params:do_sample=True,
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sarcasm_model=pn89348/sarcasm_model
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- type: similarity
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value: 0.44251807034015656
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name: similarity:median
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-
config: similarity_model=multi-qa-mpnet-base-dot-v1, model=maxmarcon/gpt2-sarcasm-defuser,
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generate_params:max_new_tokens=10, generate_params:temperature=1, generate_params:do_sample=True,
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sarcasm_model=pn89348/sarcasm_model
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- type: similarity
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value: 0.16595836326801805
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name: similarity:stddev
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-
config: similarity_model=multi-qa-mpnet-base-dot-v1, model=maxmarcon/gpt2-sarcasm-defuser,
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generate_params:max_new_tokens=10, generate_params:temperature=1, generate_params:do_sample=True,
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sarcasm_model=pn89348/sarcasm_model
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- type: sarcasm_prob_orig
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value: 0.10705406665802002
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name: sarcasm_prob_orig:mean
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config: similarity_model=multi-qa-mpnet-base-dot-v1, model=maxmarcon/gpt2-sarcasm-defuser,
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generate_params:max_new_tokens=10, generate_params:temperature=1, generate_params:do_sample=True,
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sarcasm_model=pn89348/sarcasm_model
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- type: sarcasm_prob_orig
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value: 0.0074940025806427
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name: sarcasm_prob_orig:median
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-
config: similarity_model=multi-qa-mpnet-base-dot-v1, model=maxmarcon/gpt2-sarcasm-defuser,
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generate_params:max_new_tokens=10, generate_params:temperature=1, generate_params:do_sample=True,
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sarcasm_model=pn89348/sarcasm_model
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- type: sarcasm_prob_orig
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value: 0.29404494396735864
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name: sarcasm_prob_orig:stddev
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-
config: similarity_model=multi-qa-mpnet-base-dot-v1, model=maxmarcon/gpt2-sarcasm-defuser,
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generate_params:max_new_tokens=10, generate_params:temperature=1, generate_params:do_sample=True,
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sarcasm_model=pn89348/sarcasm_model
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- type: sarcasm_prob_neutral
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value: 0.14338562190532683
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name: sarcasm_prob_neutral:mean
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-
config: similarity_model=multi-qa-mpnet-base-dot-v1, model=maxmarcon/gpt2-sarcasm-defuser,
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generate_params:max_new_tokens=10, generate_params:temperature=1, generate_params:do_sample=True,
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sarcasm_model=pn89348/sarcasm_model
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- type: sarcasm_prob_neutral
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value: 0.02902349829673767
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name: sarcasm_prob_neutral:median
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-
config: similarity_model=multi-qa-mpnet-base-dot-v1, model=maxmarcon/gpt2-sarcasm-defuser,
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generate_params:max_new_tokens=10, generate_params:temperature=1, generate_params:do_sample=True,
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sarcasm_model=pn89348/sarcasm_model
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- type: sarcasm_prob_neutral
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value: 0.2890145345422165
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name: sarcasm_prob_neutral:stddev
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config: similarity_model=multi-qa-mpnet-base-dot-v1, model=maxmarcon/gpt2-sarcasm-defuser,
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generate_params:max_new_tokens=10, generate_params:temperature=1, generate_params:do_sample=True,
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sarcasm_model=pn89348/sarcasm_model
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source:
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url: https://www.kaggle.com/datasets/danofer/sarcasm/data
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name: kaggle
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- type: similarity
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value: 0.6966928914189339
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name: similarity:mean
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config: sarcasm_model=pn89348/sarcasm_model, similarity_model=multi-qa-mpnet-base-dot-v1,
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model=baseline
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- type: similarity
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value: 0.7447585463523865
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name: similarity:median
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config: sarcasm_model=pn89348/sarcasm_model, similarity_model=multi-qa-mpnet-base-dot-v1,
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model=baseline
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- type: similarity
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value: 0.13775035898508373
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name: similarity:stddev
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config: sarcasm_model=pn89348/sarcasm_model, similarity_model=multi-qa-mpnet-base-dot-v1,
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model=baseline
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- type: sarcasm_prob_orig
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value: 0.10705406665802002
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name: sarcasm_prob_orig:mean
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config: sarcasm_model=pn89348/sarcasm_model, similarity_model=multi-qa-mpnet-base-dot-v1,
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model=baseline
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- type: sarcasm_prob_orig
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value: 0.0074940025806427
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name: sarcasm_prob_orig:median
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config: sarcasm_model=pn89348/sarcasm_model, similarity_model=multi-qa-mpnet-base-dot-v1,
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model=baseline
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- type: sarcasm_prob_orig
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value: 0.29404494396735864
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name: sarcasm_prob_orig:stddev
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config: sarcasm_model=pn89348/sarcasm_model, similarity_model=multi-qa-mpnet-base-dot-v1,
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model=baseline
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- type: sarcasm_prob_neutral
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value: 0.00566185712814331
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name: sarcasm_prob_neutral:mean
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config: sarcasm_model=pn89348/sarcasm_model, similarity_model=multi-qa-mpnet-base-dot-v1,
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model=baseline
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- type: sarcasm_prob_neutral
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value: 0.004815280437469482
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name: sarcasm_prob_neutral:median
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config: sarcasm_model=pn89348/sarcasm_model, similarity_model=multi-qa-mpnet-base-dot-v1,
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model=baseline
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- type: sarcasm_prob_neutral
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value: 0.003063929800346246
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name: sarcasm_prob_neutral:stddev
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config: sarcasm_model=pn89348/sarcasm_model, similarity_model=multi-qa-mpnet-base-dot-v1,
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model=baseline
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source:
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url: https://www.kaggle.com/datasets/danofer/sarcasm/data
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name: kaggle
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