[20260608_043140_xlm_roberta_large_v32] metrics
Browse files
metrics/20260608_043140_xlm_roberta_large_v32_metrics.json
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{
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"run_id": "20260608_043140_xlm_roberta_large_v32",
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"model": "xlm-roberta-large",
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"dataset": "Nexus-Analytics/multilingual-hate-detection-dataset_v32",
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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": 0.0
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},
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"class_weights": {
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"hate": 1.0253845326449391,
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"normal": 0.9758419490224178
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},
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"splits": {
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"train": 19066,
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"val": 4089,
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"test": 4089
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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": 0.9914,
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| 31 |
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"f1_macro": 0.9914,
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| 32 |
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"f1_weighted": 0.9914,
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"per_class": {
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"hate": {
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"precision": 0.9939,
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| 36 |
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"recall": 0.9885,
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| 37 |
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"f1": 0.9912,
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| 38 |
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"support": 1993
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},
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| 40 |
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"normal": {
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| 41 |
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"precision": 0.9891,
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| 42 |
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"recall": 0.9943,
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| 43 |
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"f1": 0.9917,
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| 44 |
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"support": 2096
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}
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},
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"confusion_matrix": [
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[
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1970,
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23
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],
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[
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12,
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]
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]
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},
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"en": {
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| 59 |
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"accuracy": 0.9995,
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| 60 |
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"f1_macro": 0.9995,
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| 61 |
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"f1_weighted": 0.9995,
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| 62 |
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"per_class": {
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| 63 |
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"hate": {
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| 64 |
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"precision": 1.0,
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| 65 |
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"recall": 0.9991,
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| 66 |
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"f1": 0.9995,
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| 67 |
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"support": 1111
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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": 0.999,
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| 71 |
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"recall": 1.0,
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| 72 |
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"f1": 0.9995,
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| 73 |
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"support": 1004
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}
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},
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"confusion_matrix": [
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[
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1110,
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1
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],
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[
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0,
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1004
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| 84 |
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]
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| 85 |
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]
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| 86 |
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},
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| 87 |
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"ar": {
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| 88 |
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"accuracy": 0.9828,
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| 89 |
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"f1_macro": 0.9826,
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| 90 |
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"f1_weighted": 0.9828,
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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": 0.9862,
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| 94 |
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"recall": 0.9751,
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| 95 |
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"f1": 0.9806,
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| 96 |
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"support": 882
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| 97 |
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},
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| 98 |
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"normal": {
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| 99 |
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"precision": 0.98,
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| 100 |
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"recall": 0.989,
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| 101 |
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"f1": 0.9845,
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| 102 |
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"support": 1092
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| 103 |
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}
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| 104 |
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},
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| 105 |
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"confusion_matrix": [
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[
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860,
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22
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| 109 |
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],
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[
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12,
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1080
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| 113 |
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]
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]
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}
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}
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}
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