test_predictions_sample.json

{
  "accuracy": 0.5298507462686567,
  "precision": 0.5682573303758304,
  "recall": 0.5298507462686567,
  "f1": 0.531200068058073,
  "total_training_steps": 500,
  "early_stopped": false,
  "label_map": {
    "0": "ad hominem",
    "1": "ad populum",
    "2": "appeal to emotion",
    "3": "circular reasoning",
    "4": "equivocation",
    "5": "fallacy of credibility",
    "6": "fallacy of extension",
    "7": "fallacy of logic",
    "8": "fallacy of relevance",
    "9": "false causality",
    "10": "false dilemma",
    "11": "faulty generalization",
    "12": "intentional"
  },
  "samples": [
    {
      "prediction": "intentional",
      "ground_truth": "false dilemma"
    },
    {
      "prediction": "fallacy of relevance",
      "ground_truth": "circular reasoning"
    },
    {
      "prediction": "fallacy of credibility",
      "ground_truth": "intentional"
    },
    {
      "prediction": "fallacy of relevance",
      "ground_truth": "fallacy of relevance"
    },
    {
      "prediction": "fallacy of extension",
      "ground_truth": "fallacy of extension"
    },
    {
      "prediction": "false causality",
      "ground_truth": "false causality"
    },
    {
      "prediction": "appeal to emotion",
      "ground_truth": "false dilemma"
    },
    {
      "prediction": "fallacy of credibility",
      "ground_truth": "false dilemma"
    },
    {
      "prediction": "intentional",
      "ground_truth": "fallacy of logic"
    },
    {
      "prediction": "circular reasoning",
      "ground_truth": "appeal to emotion"
    }
  ]
}