Added models, outputs, data and tensorflow runs
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51
outputs/eval_summary_stl_aspect_sentiment_original.json
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51
outputs/eval_summary_stl_aspect_sentiment_original.json
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{
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"mode": "stl",
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"dataset": "original",
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"task": "aspect_sentiment",
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"model_path": "outputs/best_model_stl_aspect_sentiment_original.pt",
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"results": {
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"aspect_sentiment": {
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"macro_f1": 0.7856154710827541,
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"macro_precision": 0.7905014749262537,
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"macro_recall": 0.7816500597847748,
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"confidence": {
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"overall": 0.9811832904815674,
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"correct": 0.987269401550293,
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"incorrect": 0.9148151278495789
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},
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"per_class": {
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"Positive": {
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"precision": 0.96,
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"recall": 0.9326424870466321,
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"f1-score": 0.9461235216819974,
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"support": 386.0
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},
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"Neutral": {
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"precision": 0.5,
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"recall": 0.46153846153846156,
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"f1-score": 0.48,
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"support": 39.0
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},
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"Negative": {
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"precision": 0.911504424778761,
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"recall": 0.9507692307692308,
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"f1-score": 0.9307228915662651,
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"support": 325.0
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},
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"accuracy": 0.916,
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"macro avg": {
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"precision": 0.7905014749262537,
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"recall": 0.7816500597847748,
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"f1-score": 0.7856154710827541,
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"support": 750.0
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},
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"weighted avg": {
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"precision": 0.9150652507374631,
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"recall": 0.916,
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"f1-score": 0.9152114921710495,
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"support": 750.0
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}
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}
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}
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}
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}
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