[20260608_025612_xlm_roberta_base_v32_ls] metrics
Browse files
metrics/20260608_025612_xlm_roberta_base_v32_ls_metrics.json
ADDED
|
@@ -0,0 +1,117 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "20260608_025612_xlm_roberta_base_v32_ls",
|
| 3 |
+
"model": "xlm-roberta-base",
|
| 4 |
+
"dataset": "Nexus-Analytics/multilingual-hate-detection-dataset_v32",
|
| 5 |
+
"labels": {
|
| 6 |
+
"hate": 0,
|
| 7 |
+
"normal": 1
|
| 8 |
+
},
|
| 9 |
+
"hyperparameters": {
|
| 10 |
+
"learning_rate": 2e-05,
|
| 11 |
+
"batch_size": 16,
|
| 12 |
+
"weight_decay": 0.01,
|
| 13 |
+
"warmup_ratio": 0.1,
|
| 14 |
+
"epochs": 8,
|
| 15 |
+
"max_len": 256,
|
| 16 |
+
"seed": 42,
|
| 17 |
+
"label_smoothing": 0.1
|
| 18 |
+
},
|
| 19 |
+
"class_weights": {
|
| 20 |
+
"hate": 1.0253845326449391,
|
| 21 |
+
"normal": 0.9758419490224178
|
| 22 |
+
},
|
| 23 |
+
"splits": {
|
| 24 |
+
"train": 19066,
|
| 25 |
+
"val": 4089,
|
| 26 |
+
"test": 4089
|
| 27 |
+
},
|
| 28 |
+
"results": {
|
| 29 |
+
"overall": {
|
| 30 |
+
"accuracy": 0.9907,
|
| 31 |
+
"f1_macro": 0.9907,
|
| 32 |
+
"f1_weighted": 0.9907,
|
| 33 |
+
"per_class": {
|
| 34 |
+
"hate": {
|
| 35 |
+
"precision": 0.991,
|
| 36 |
+
"recall": 0.99,
|
| 37 |
+
"f1": 0.9905,
|
| 38 |
+
"support": 1993
|
| 39 |
+
},
|
| 40 |
+
"normal": {
|
| 41 |
+
"precision": 0.9905,
|
| 42 |
+
"recall": 0.9914,
|
| 43 |
+
"f1": 0.9909,
|
| 44 |
+
"support": 2096
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"confusion_matrix": [
|
| 48 |
+
[
|
| 49 |
+
1973,
|
| 50 |
+
20
|
| 51 |
+
],
|
| 52 |
+
[
|
| 53 |
+
18,
|
| 54 |
+
2078
|
| 55 |
+
]
|
| 56 |
+
]
|
| 57 |
+
},
|
| 58 |
+
"en": {
|
| 59 |
+
"accuracy": 1.0,
|
| 60 |
+
"f1_macro": 1.0,
|
| 61 |
+
"f1_weighted": 1.0,
|
| 62 |
+
"per_class": {
|
| 63 |
+
"hate": {
|
| 64 |
+
"precision": 1.0,
|
| 65 |
+
"recall": 1.0,
|
| 66 |
+
"f1": 1.0,
|
| 67 |
+
"support": 1111
|
| 68 |
+
},
|
| 69 |
+
"normal": {
|
| 70 |
+
"precision": 1.0,
|
| 71 |
+
"recall": 1.0,
|
| 72 |
+
"f1": 1.0,
|
| 73 |
+
"support": 1004
|
| 74 |
+
}
|
| 75 |
+
},
|
| 76 |
+
"confusion_matrix": [
|
| 77 |
+
[
|
| 78 |
+
1111,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
[
|
| 82 |
+
0,
|
| 83 |
+
1004
|
| 84 |
+
]
|
| 85 |
+
]
|
| 86 |
+
},
|
| 87 |
+
"ar": {
|
| 88 |
+
"accuracy": 0.9807,
|
| 89 |
+
"f1_macro": 0.9805,
|
| 90 |
+
"f1_weighted": 0.9807,
|
| 91 |
+
"per_class": {
|
| 92 |
+
"hate": {
|
| 93 |
+
"precision": 0.9795,
|
| 94 |
+
"recall": 0.9773,
|
| 95 |
+
"f1": 0.9784,
|
| 96 |
+
"support": 882
|
| 97 |
+
},
|
| 98 |
+
"normal": {
|
| 99 |
+
"precision": 0.9817,
|
| 100 |
+
"recall": 0.9835,
|
| 101 |
+
"f1": 0.9826,
|
| 102 |
+
"support": 1092
|
| 103 |
+
}
|
| 104 |
+
},
|
| 105 |
+
"confusion_matrix": [
|
| 106 |
+
[
|
| 107 |
+
862,
|
| 108 |
+
20
|
| 109 |
+
],
|
| 110 |
+
[
|
| 111 |
+
18,
|
| 112 |
+
1074
|
| 113 |
+
]
|
| 114 |
+
]
|
| 115 |
+
}
|
| 116 |
+
}
|
| 117 |
+
}
|