[20260612_203430_mdeberta_v3_base_v38a_s2] metrics
Browse files
metrics/20260612_203430_mdeberta_v3_base_v38a_s2_metrics.json
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{
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"run_id": "20260612_203430_mdeberta_v3_base_v38a_s2",
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"model": "microsoft/mdeberta-v3-base",
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"dataset": "Nexus-Analytics/multilingual-hate-detection-dataset_v38a",
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"labels": {
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"hate": 0,
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"normal": 1
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},
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"hyperparameters": {
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"learning_rate": 2e-05,
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"batch_size": 16,
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"weight_decay": 0.01,
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"warmup_ratio": 0.1,
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"epochs": 8,
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"max_len": 256,
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"seed": 2,
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"label_smoothing": 0.0
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},
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"class_weights": {
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"hate": 0.9776938569989929,
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"normal": 1.0233477390112786
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},
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"splits": {
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"train": 19417,
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"val": 3937,
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"test": 3937
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},
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"results": {
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"overall": {
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"accuracy": 0.985,
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"f1_macro": 0.985,
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"f1_weighted": 0.985,
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"per_class": {
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"hate": {
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"precision": 0.9807,
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"recall": 0.99,
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"f1": 0.9853,
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| 38 |
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"support": 2000
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},
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"normal": {
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"precision": 0.9896,
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"recall": 0.9799,
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"f1": 0.9847,
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"support": 1937
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}
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},
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"confusion_matrix": [
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[
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1980,
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20
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],
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[
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},
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"en": {
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"accuracy": 0.9969,
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"f1_macro": 0.9969,
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"f1_weighted": 0.9969,
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"per_class": {
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"hate": {
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"precision": 0.9957,
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"recall": 0.9983,
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| 66 |
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"f1": 0.997,
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| 67 |
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"support": 1165
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},
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"normal": {
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"precision": 0.9981,
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| 71 |
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"recall": 0.9953,
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| 72 |
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"f1": 0.9967,
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"support": 1069
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}
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},
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"confusion_matrix": [
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[
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1163,
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2
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],
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[
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]
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]
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},
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"ar": {
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"accuracy": 0.9695,
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"f1_macro": 0.9695,
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"f1_weighted": 0.9695,
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"per_class": {
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"hate": {
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"precision": 0.96,
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"recall": 0.9784,
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| 95 |
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"f1": 0.9692,
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"support": 835
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},
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"normal": {
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"precision": 0.9789,
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"recall": 0.9608,
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"f1": 0.9698,
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"support": 868
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}
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},
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"confusion_matrix": [
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[
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],
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[
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34,
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834
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]
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]
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}
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}
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}
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