[20260603_141423_xlm_roberta_base] metrics
Browse files
metrics/20260603_141423_xlm_roberta_base_metrics.json
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| 1 |
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{
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"run_id": "20260603_141423_xlm_roberta_base",
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"model": "xlm-roberta-base",
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"dataset": "Nexus-Analytics/multilingual-hate-detection-dataset",
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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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},
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"class_weights": {
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"hate": 1.2329693804889628,
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"normal": 0.8410783678756477
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},
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"splits": {
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"train": 20778,
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"val": 4425,
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"test": 4422
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},
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"results": {
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"overall": {
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| 28 |
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"accuracy": 0.9907,
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| 29 |
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"f1_macro": 0.9904,
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| 30 |
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"f1_weighted": 0.9907,
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| 31 |
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"per_class": {
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"hate": {
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"precision": 0.9933,
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| 34 |
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"recall": 0.9839,
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| 35 |
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"f1": 0.9886,
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| 36 |
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"support": 1799
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},
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"normal": {
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| 39 |
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"precision": 0.989,
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| 40 |
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"recall": 0.9954,
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| 41 |
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"f1": 0.9922,
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"support": 2623
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}
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},
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"confusion_matrix": [
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[
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1770,
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29
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],
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[
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12,
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2611
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]
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]
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},
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"en": {
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"accuracy": 0.9989,
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| 58 |
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"f1_macro": 0.9989,
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"f1_weighted": 0.9989,
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| 60 |
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"per_class": {
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| 61 |
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"hate": {
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| 62 |
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"precision": 1.0,
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| 63 |
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"recall": 0.9977,
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| 64 |
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"f1": 0.9989,
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| 65 |
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"support": 885
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| 66 |
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},
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| 67 |
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"normal": {
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| 68 |
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"precision": 0.9979,
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| 69 |
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"recall": 1.0,
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| 70 |
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"f1": 0.9989,
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| 71 |
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"support": 930
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| 72 |
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}
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| 73 |
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},
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"confusion_matrix": [
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[
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883,
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2
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],
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[
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0,
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930
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]
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]
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},
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| 85 |
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"ar": {
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| 86 |
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"accuracy": 0.985,
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| 87 |
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"f1_macro": 0.9835,
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| 88 |
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"f1_weighted": 0.985,
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| 89 |
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"per_class": {
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| 90 |
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"hate": {
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| 91 |
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"precision": 0.9867,
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| 92 |
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"recall": 0.9705,
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| 93 |
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"f1": 0.9785,
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| 94 |
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"support": 914
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| 95 |
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},
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| 96 |
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"normal": {
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| 97 |
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"precision": 0.9842,
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| 98 |
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"recall": 0.9929,
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| 99 |
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"f1": 0.9885,
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| 100 |
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"support": 1693
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| 101 |
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}
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},
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| 103 |
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"confusion_matrix": [
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[
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887,
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27
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],
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[
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12,
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1681
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| 111 |
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]
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| 112 |
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]
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}
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| 114 |
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}
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}
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