Upload eval_data.json with huggingface_hub
Browse files- eval_data.json +81 -0
eval_data.json
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"optimal_threshold": 0.5,
|
| 3 |
+
"test_results": {
|
| 4 |
+
"eval_loss": 0.16758447885513306,
|
| 5 |
+
"eval_accuracy": 0.9857604679802956,
|
| 6 |
+
"eval_f1": 0.9332852506310855,
|
| 7 |
+
"eval_precision": 0.9635145197319435,
|
| 8 |
+
"eval_recall": 0.9048951048951049,
|
| 9 |
+
"eval_roc_auc": 0.9925474758764847,
|
| 10 |
+
"eval_class_metrics": {
|
| 11 |
+
"class_0_precision": 0.9883251781268778,
|
| 12 |
+
"class_0_recall": 0.9957619788963847,
|
| 13 |
+
"class_0_f1": 0.9920296411184353,
|
| 14 |
+
"class_1_precision": 0.9635145197319435,
|
| 15 |
+
"class_1_recall": 0.9048951048951049,
|
| 16 |
+
"class_1_f1": 0.9332852506310855
|
| 17 |
+
},
|
| 18 |
+
"eval_runtime": 220.015,
|
| 19 |
+
"eval_samples_per_second": 59.051,
|
| 20 |
+
"eval_steps_per_second": 1.845,
|
| 21 |
+
"epoch": 0.22621591051903983
|
| 22 |
+
},
|
| 23 |
+
"eval_results": {
|
| 24 |
+
"eval_loss": 0.12878268957138062,
|
| 25 |
+
"eval_accuracy": 0.9872229064039408,
|
| 26 |
+
"eval_f1": 0.9404591104734576,
|
| 27 |
+
"eval_precision": 0.9632623071271125,
|
| 28 |
+
"eval_recall": 0.9187105816398038,
|
| 29 |
+
"eval_roc_auc": 0.9958163404734399,
|
| 30 |
+
"eval_class_metrics": {
|
| 31 |
+
"class_0_precision": 0.9900266529103259,
|
| 32 |
+
"class_0_recall": 0.9956766104626027,
|
| 33 |
+
"class_0_f1": 0.9928435937230558,
|
| 34 |
+
"class_1_precision": 0.9632623071271125,
|
| 35 |
+
"class_1_recall": 0.9187105816398038,
|
| 36 |
+
"class_1_f1": 0.9404591104734576
|
| 37 |
+
},
|
| 38 |
+
"eval_runtime": 222.6834,
|
| 39 |
+
"eval_samples_per_second": 58.343,
|
| 40 |
+
"eval_steps_per_second": 1.823,
|
| 41 |
+
"epoch": 0.22621591051903983
|
| 42 |
+
},
|
| 43 |
+
"loss_function": "cross_entropy",
|
| 44 |
+
"loss_params": {
|
| 45 |
+
"margin_in": 2.0,
|
| 46 |
+
"margin_out": 18.0,
|
| 47 |
+
"temperature": 1.0
|
| 48 |
+
},
|
| 49 |
+
"params": {
|
| 50 |
+
"base_model": "jhu-clsp/mmBERT-base",
|
| 51 |
+
"model_id": "modernguard-mmBERT-base-4-cross_entropy",
|
| 52 |
+
"huggingface_repo": null,
|
| 53 |
+
"dataset_id": "rafaelsandroni/modern-guard-v4-training",
|
| 54 |
+
"max_length": 2048,
|
| 55 |
+
"stride": 128,
|
| 56 |
+
"batch_size": 8,
|
| 57 |
+
"epochs": 20,
|
| 58 |
+
"learning_rate": 1e-05,
|
| 59 |
+
"weight_decay": 0.05,
|
| 60 |
+
"warmup_ratio": 0.1,
|
| 61 |
+
"margin_in": 2.0,
|
| 62 |
+
"margin_out": 18.0,
|
| 63 |
+
"eval_steps": 500,
|
| 64 |
+
"early_stopping_patience": 3,
|
| 65 |
+
"early_stopping_threshold": 0.001,
|
| 66 |
+
"loss_function": "cross_entropy",
|
| 67 |
+
"temperature": 1.0,
|
| 68 |
+
"energy_weight": 0.5,
|
| 69 |
+
"focal_gamma": 2.0,
|
| 70 |
+
"use_class_weights": true,
|
| 71 |
+
"seed": 42,
|
| 72 |
+
"max_samples": -1
|
| 73 |
+
},
|
| 74 |
+
"tokenization_type": "stride-based",
|
| 75 |
+
"dataset_stats": {
|
| 76 |
+
"original_examples": 1296302,
|
| 77 |
+
"train_original": 1270375,
|
| 78 |
+
"val_original": 12963,
|
| 79 |
+
"test_original": 12964
|
| 80 |
+
}
|
| 81 |
+
}
|