Upload metadata.json
Browse files- metadata.json +79 -0
metadata.json
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{
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"model_name": "bert-base-multilingual-cased",
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"model_id": "M4_4.1_mBERT",
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"member": 4,
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"spec_compliance": {
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"seed": 42,
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"max_length": 128,
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"batch_size": 16,
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"learning_rate": 2e-05,
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"epochs_trained": 3,
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"total_epochs_limit": 5,
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"early_stopping_patience": 5,
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"primary_metric": "val_macro_f1"
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},
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"training_results": {
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"best_epoch": 3,
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"best_val_macro_f1": 0.6795928116428641,
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"best_val_macro_precision": 0.6946485613019967,
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"best_val_macro_recall": 0.6802384049141252,
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"best_val_weighted_f1": 0.7767666885575343,
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"best_val_accuracy": 0.7700119474313023,
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"training_loss": 0.6579384510566588
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},
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"test_results": {
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"test_loss": 0.925308403400838,
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"test_accuracy": 0.7541866028708134,
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"test_macro_precision": 0.6496175553843826,
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"test_macro_recall": 0.6441460137051936,
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"test_macro_f1": 0.6447829635587705,
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"test_weighted_precision": 0.7632761926177464,
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"test_weighted_recall": 0.7541866028708134,
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"test_weighted_f1": 0.7569916810574127,
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"per_class_f1": {
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"F": 0.8371837183718371,
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"R": 0.7635294117647059,
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"N": 0.8100526008182349,
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"M": 0.6145675265553869,
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"S": 0.19858156028368795
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}
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},
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"hardware": {
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"device": "cuda",
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"cuda_available": true,
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"python_version": "3.11.11",
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"platform": "Linux-6.8.0-87-generic-x86_64-with-glibc2.35",
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"cpu_count": 128,
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"ram_gb": 754.5698852539062,
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"gpu_device": "NVIDIA H100 NVL MIG 1g.24gb",
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"gpu_memory_gb": 23.219666944
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},
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"training_time": {
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"total_seconds": 1386.469988,
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"total_minutes": 23.107833133333333,
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"average_per_epoch": 277.29253600000004,
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"timestamp_start": "2025-12-25T10:13:31.474388",
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"timestamp_end": "2025-12-25T10:36:58.037200"
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},
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"library_versions": {
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"pytorch": "2.7.1+cu118",
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"transformers": "4.57.3",
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"numpy": "1.26.4",
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"pandas": "2.2.3",
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"scikit-learn": "1.6.1",
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"python": "3.11.11"
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},
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"data": {
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"train_samples": 15699,
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"val_samples": 3348,
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"test_samples": 3344,
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"num_classes": 5,
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"class_names": [
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"F",
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"R",
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"N",
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"M",
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"S"
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]
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}
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}
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