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replaced shap with deeplift --> too computationaly expensive
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20 changes: 12 additions & 8 deletions
20
double_faithfulness_metrics/sst/contigious-dev-f1-metrics-description.json
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{ | ||
"f1 macro avg - model labels": { | ||
"fixed-fixed-len_var-feat_var-type": 37.302, | ||
"fixed-shap": 79.643, | ||
"fixed-lime": 73.755, | ||
"fixed-attention": 80.734, | ||
"fixed-ig": 70.803, | ||
"fixed-gradients": 78.178, | ||
"fixed-scaled attention": 62.218, | ||
"fixed-random": 82.901, | ||
"fixed-fixed-len_var-feat": 60.48, | ||
"var-var-len_var-feat_var-type": 36.246, | ||
"fixed-fixed-len_var-feat": 61.049, | ||
"fixed-fixed-len_var-feat_var-type": 36.3, | ||
"var-shap": 80.025, | ||
"var-lime": 72.084, | ||
"var-attention": 83.397, | ||
"var-ig": 66.115, | ||
"var-gradients": 75.114, | ||
"var-scaled attention": 54.928, | ||
"var-random": 76.832, | ||
"var-var-len_var-feat": 52.282 | ||
"var-var-len_var-feat": 51.574, | ||
"var-var-len_var-feat_var-type": 35.118 | ||
}, | ||
"f1 macro avg - actual labels": { | ||
"fixed-fixed-len_var-feat_var-type": 42.749, | ||
"fixed-shap": 77.903, | ||
"fixed-lime": 72.847, | ||
"fixed-attention": 77.638, | ||
"fixed-ig": 71.815, | ||
"fixed-gradients": 76.214, | ||
"fixed-scaled attention": 64.378, | ||
"fixed-random": 80.255, | ||
"fixed-fixed-len_var-feat": 62.174, | ||
"var-var-len_var-feat_var-type": 42.129, | ||
"fixed-fixed-len_var-feat": 63.207, | ||
"fixed-fixed-len_var-feat_var-type": 41.509, | ||
"var-shap": 78.984, | ||
"var-lime": 71.643, | ||
"var-attention": 79.608, | ||
"var-ig": 69.201, | ||
"var-gradients": 75.229, | ||
"var-scaled attention": 59.855, | ||
"var-random": 77.402, | ||
"var-var-len_var-feat": 56.74 | ||
"var-var-len_var-feat": 56.032, | ||
"var-var-len_var-feat_var-type": 40.996 | ||
} | ||
} |
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20 changes: 12 additions & 8 deletions
20
double_faithfulness_metrics/sst/contigious-test-f1-metrics-description.json
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,38 +1,42 @@ | ||
{ | ||
"f1 macro avg - model labels": { | ||
"fixed-fixed-len_var-feat_var-type": 37.774, | ||
"fixed-shap": 80.385, | ||
"fixed-lime": 70.953, | ||
"fixed-attention": 82.14, | ||
"fixed-ig": 71.027, | ||
"fixed-gradients": 79.156, | ||
"fixed-scaled attention": 59.785, | ||
"fixed-random": 81.656, | ||
"fixed-fixed-len_var-feat": 58.537, | ||
"var-var-len_var-feat_var-type": 36.17, | ||
"fixed-fixed-len_var-feat": 59.646, | ||
"fixed-fixed-len_var-feat_var-type": 37.291, | ||
"var-shap": 78.929, | ||
"var-lime": 69.849, | ||
"var-attention": 84.89, | ||
"var-ig": 65.555, | ||
"var-gradients": 75.328, | ||
"var-scaled attention": 54.453, | ||
"var-random": 77.55, | ||
"var-var-len_var-feat": 51.52 | ||
"var-var-len_var-feat": 51.128, | ||
"var-var-len_var-feat_var-type": 35.415 | ||
}, | ||
"f1 macro avg - actual labels": { | ||
"fixed-fixed-len_var-feat_var-type": 43.137, | ||
"fixed-shap": 77.745, | ||
"fixed-lime": 71.349, | ||
"fixed-attention": 79.093, | ||
"fixed-ig": 71.982, | ||
"fixed-gradients": 77.39, | ||
"fixed-scaled attention": 63.476, | ||
"fixed-random": 80.456, | ||
"fixed-fixed-len_var-feat": 61.531, | ||
"var-var-len_var-feat_var-type": 42.199, | ||
"fixed-fixed-len_var-feat": 61.972, | ||
"fixed-fixed-len_var-feat_var-type": 42.069, | ||
"var-shap": 78.396, | ||
"var-lime": 70.814, | ||
"var-attention": 80.889, | ||
"var-ig": 68.504, | ||
"var-gradients": 76.214, | ||
"var-scaled attention": 59.489, | ||
"var-random": 78.337, | ||
"var-var-len_var-feat": 56.514 | ||
"var-var-len_var-feat": 56.007, | ||
"var-var-len_var-feat_var-type": 41.211 | ||
} | ||
} |
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