Added models, outputs, data and tensorflow runs
BIN
outputs/best_model_mtl_boosted.pt
LFS
Normal file
BIN
outputs/best_model_mtl_original.pt
LFS
Normal file
BIN
outputs/best_model_stl_aspect_original.pt
LFS
Normal file
BIN
outputs/best_model_stl_aspect_sentiment_original.pt
LFS
Normal file
BIN
outputs/best_model_stl_bug_report_original.pt
LFS
Normal file
BIN
outputs/best_model_stl_feature_request_original.pt
LFS
Normal file
186
outputs/eval_summary_mtl_mtl_boosted.json
Normal file
@@ -0,0 +1,186 @@
|
||||
{
|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
186
outputs/eval_summary_mtl_mtl_original.json
Normal file
@@ -0,0 +1,186 @@
|
||||
{
|
||||
"mode": "mtl",
|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
}
|
||||
69
outputs/eval_summary_stl_aspect_original.json
Normal file
@@ -0,0 +1,69 @@
|
||||
{
|
||||
"mode": "stl",
|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
}
|
||||
51
outputs/eval_summary_stl_aspect_sentiment_original.json
Normal file
@@ -0,0 +1,51 @@
|
||||
{
|
||||
"mode": "stl",
|
||||
"dataset": "original",
|
||||
"task": "aspect_sentiment",
|
||||
"model_path": "outputs/best_model_stl_aspect_sentiment_original.pt",
|
||||
"results": {
|
||||
"aspect_sentiment": {
|
||||
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|
||||
"macro_precision": 0.7905014749262537,
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
"accuracy": 0.916,
|
||||
"macro avg": {
|
||||
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|
||||
"recall": 0.7816500597847748,
|
||||
"f1-score": 0.7856154710827541,
|
||||
"support": 750.0
|
||||
},
|
||||
"weighted avg": {
|
||||
"precision": 0.9150652507374631,
|
||||
"recall": 0.916,
|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
45
outputs/eval_summary_stl_bug_report_original.json
Normal file
@@ -0,0 +1,45 @@
|
||||
{
|
||||
"mode": "stl",
|
||||
"dataset": "original",
|
||||
"task": "bug_report",
|
||||
"model_path": "outputs/best_model_stl_bug_report_original.pt",
|
||||
"results": {
|
||||
"bug_report": {
|
||||
"macro_f1": 0.7845034000574658,
|
||||
"macro_precision": 0.7627192982456141,
|
||||
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|
||||
"confidence": {
|
||||
"overall": 0.9904617667198181,
|
||||
"correct": 0.9926525950431824,
|
||||
"incorrect": 0.9774385094642639
|
||||
},
|
||||
"per_class": {
|
||||
"No": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"accuracy": 0.856,
|
||||
"macro avg": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"weighted avg": {
|
||||
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|
||||
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|
||||
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|
||||
"support": 750.0
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
45
outputs/eval_summary_stl_feature_request_original.json
Normal file
@@ -0,0 +1,45 @@
|
||||
{
|
||||
"mode": "stl",
|
||||
"dataset": "original",
|
||||
"task": "feature_request",
|
||||
"model_path": "outputs/best_model_stl_feature_request_original.pt",
|
||||
"results": {
|
||||
"feature_request": {
|
||||
"macro_f1": 0.7419244916163044,
|
||||
"macro_precision": 0.739484126984127,
|
||||
"macro_recall": 0.7444606473042492,
|
||||
"confidence": {
|
||||
"overall": 0.9515063762664795,
|
||||
"correct": 0.9664607644081116,
|
||||
"incorrect": 0.8575695753097534
|
||||
},
|
||||
"per_class": {
|
||||
"No": {
|
||||
"precision": 0.9206349206349206,
|
||||
"recall": 0.9162717219589257,
|
||||
"f1-score": 0.9184481393507522,
|
||||
"support": 633.0
|
||||
},
|
||||
"Yes": {
|
||||
"precision": 0.5583333333333333,
|
||||
"recall": 0.5726495726495726,
|
||||
"f1-score": 0.5654008438818565,
|
||||
"support": 117.0
|
||||
},
|
||||
"accuracy": 0.8626666666666667,
|
||||
"macro avg": {
|
||||
"precision": 0.739484126984127,
|
||||
"recall": 0.7444606473042492,
|
||||
"f1-score": 0.7419244916163044,
|
||||
"support": 750.0
|
||||
},
|
||||
"weighted avg": {
|
||||
"precision": 0.864115873015873,
|
||||
"recall": 0.8626666666666667,
|
||||
"f1-score": 0.8633727612576044,
|
||||
"support": 750.0
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
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