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ReClass/outputs/eval_summary_stl_aspect_sentiment_original.json

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{
"mode": "stl",
"dataset": "original",
"task": "aspect_sentiment",
"model_path": "outputs/best_model_stl_aspect_sentiment_original.pt",
"results": {
"aspect_sentiment": {
"macro_f1": 0.7856154710827541,
"macro_precision": 0.7905014749262537,
"macro_recall": 0.7816500597847748,
"confidence": {
"overall": 0.9811832904815674,
"correct": 0.987269401550293,
"incorrect": 0.9148151278495789
},
"per_class": {
"Positive": {
"precision": 0.96,
"recall": 0.9326424870466321,
"f1-score": 0.9461235216819974,
"support": 386.0
},
"Neutral": {
"precision": 0.5,
"recall": 0.46153846153846156,
"f1-score": 0.48,
"support": 39.0
},
"Negative": {
"precision": 0.911504424778761,
"recall": 0.9507692307692308,
"f1-score": 0.9307228915662651,
"support": 325.0
},
"accuracy": 0.916,
"macro avg": {
"precision": 0.7905014749262537,
"recall": 0.7816500597847748,
"f1-score": 0.7856154710827541,
"support": 750.0
},
"weighted avg": {
"precision": 0.9150652507374631,
"recall": 0.916,
"f1-score": 0.9152114921710495,
"support": 750.0
}
}
}
}
}