muril-hinglish-mixed-cm-thar / evaluation_summary.json
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Archive validated research checkpoint, seed 42
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{
"evaluation_role": "Evaluation split also used for best-epoch selection; not an untouched final test.",
"mixed_external_evaluation": [
{
"accuracy": "0.6098326359832636",
"f1_macro": "0.3788174139051332",
"f1_positive": "0.0",
"fn": "373",
"fp": "0",
"model": "muril",
"recall_positive": "0.0",
"test_dataset": "kaggle_hinglish_hate",
"test_rows": "956",
"tn": "583",
"tp": "0",
"train_dataset": "mixed_cm_plus_thar"
},
{
"accuracy": "0.6457831325301204",
"f1_macro": "0.3923865300146413",
"f1_positive": "0.0",
"fn": "147",
"fp": "0",
"model": "muril",
"recall_positive": "0.0",
"test_dataset": "cm_splits_codemixed",
"test_rows": "415",
"tn": "268",
"tp": "0",
"train_dataset": "mixed_cm_plus_thar"
},
{
"accuracy": "0.5277056277056277",
"f1_macro": "0.345423632757155",
"f1_positive": "0.0",
"fn": "1091",
"fp": "0",
"model": "muril",
"recall_positive": "0.0",
"test_dataset": "thar_religion",
"test_rows": "2310",
"tn": "1219",
"tp": "0",
"train_dataset": "mixed_cm_plus_thar"
}
],
"per_seed": [
{
"epoch": 2.0,
"eval_accuracy": 0.5548564687377113,
"eval_f1_hate": 0.0,
"eval_f1_macro": 0.35685381891755186,
"eval_loss": 0.6871203780174255,
"eval_precision_hate": 0.0,
"eval_precision_macro": 0.27742823436885566,
"eval_recall_hate": 0.0,
"eval_recall_macro": 0.5,
"eval_runtime": 6.7265,
"eval_samples_per_second": 378.059,
"eval_steps_per_second": 47.276,
"seed": 42
}
]
}