[20260607_154048_xlm_roberta_large_v31_ls] metrics
Browse files
metrics/20260607_154048_xlm_roberta_large_v31_ls_metrics.json
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{
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"run_id": "20260607_154048_xlm_roberta_large_v31_ls",
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"model": "xlm-roberta-large",
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"dataset": "Nexus-Analytics/multilingual-hate-detection-dataset_v31",
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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": 42,
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"label_smoothing": 0.1
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},
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"class_weights": {
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"hate": 1.0211617754062576,
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"normal": 0.9796974985456661
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},
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"splits": {
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"train": 16841,
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"val": 3616,
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"test": 3616
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},
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| 28 |
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"results": {
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"overall": {
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| 30 |
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"accuracy": 0.9889,
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| 31 |
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"f1_macro": 0.9889,
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| 32 |
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"f1_weighted": 0.9889,
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"per_class": {
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"hate": {
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"precision": 0.9898,
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| 36 |
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"recall": 0.9876,
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| 37 |
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"f1": 0.9887,
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| 38 |
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"support": 1768
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| 39 |
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},
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| 40 |
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"normal": {
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| 41 |
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"precision": 0.9881,
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| 42 |
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"recall": 0.9903,
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"f1": 0.9892,
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"support": 1848
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}
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},
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"confusion_matrix": [
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[
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1746,
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22
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],
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[
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]
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},
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"en": {
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"accuracy": 0.9972,
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| 60 |
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"f1_macro": 0.9972,
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| 61 |
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"f1_weighted": 0.9972,
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| 62 |
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"per_class": {
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"hate": {
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"precision": 0.9989,
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| 65 |
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"recall": 0.9955,
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| 66 |
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"f1": 0.9972,
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| 67 |
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"support": 886
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| 68 |
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},
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| 69 |
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"normal": {
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| 70 |
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"precision": 0.9957,
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| 71 |
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"recall": 0.9989,
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| 72 |
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"f1": 0.9973,
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| 73 |
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"support": 930
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}
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},
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"confusion_matrix": [
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[
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882,
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4
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],
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[
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1,
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929
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]
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]
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},
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| 87 |
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"ar": {
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| 88 |
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"accuracy": 0.9806,
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| 89 |
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"f1_macro": 0.9805,
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| 90 |
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"f1_weighted": 0.9806,
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| 91 |
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"per_class": {
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| 92 |
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"hate": {
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| 93 |
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"precision": 0.9807,
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| 94 |
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"recall": 0.9796,
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| 95 |
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"f1": 0.9801,
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| 96 |
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"support": 882
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},
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| 98 |
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"normal": {
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| 99 |
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"precision": 0.9804,
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"recall": 0.9815,
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| 101 |
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"f1": 0.9809,
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| 102 |
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"support": 918
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| 103 |
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}
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},
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"confusion_matrix": [
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[
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864,
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],
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[
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]
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]
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}
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}
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}
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