constitutional-bioguard-deberta-v1 / training_metrics.json
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{
"train_metrics": {
"train_runtime": 397.6795,
"train_samples_per_second": 37.316,
"train_steps_per_second": 1.169,
"total_flos": 3123710468358144.0,
"train_loss": 0.2441582655714404,
"epoch": 4.0
},
"eval_metrics": {
"eval_loss": 0.08734048902988434,
"eval_accuracy": 0.9669291338582677,
"eval_precision": 0.9759615384615384,
"eval_recall": 0.973621103117506,
"eval_f1": 0.9747899159663865,
"eval_auroc": 0.9965018810639561,
"eval_fpr": 0.045871559633027525,
"eval_runtime": 6.9183,
"eval_samples_per_second": 91.786,
"eval_steps_per_second": 11.564,
"epoch": 4.0
},
"config": {
"model": {
"name": "microsoft/deberta-v3-base",
"max_seq_length": 512
},
"training": {
"num_train_epochs": 5,
"per_device_train_batch_size": 16,
"gradient_accumulation_steps": 2,
"learning_rate": 2e-05,
"lr_scheduler_type": "cosine",
"warmup_ratio": 0.1,
"weight_decay": 0.01,
"bf16": false,
"seed": 42,
"logging_steps": 50,
"eval_strategy": "epoch",
"save_strategy": "epoch",
"save_total_limit": 3,
"load_best_model_at_end": true,
"metric_for_best_model": "f1",
"early_stopping_patience": 2,
"optim": "adamw_torch"
},
"data": {
"train_file": "data/processed/train.jsonl",
"val_file": "data/processed/val.jsonl",
"test_file": "data/processed/test.jsonl",
"class_weights": true,
"text_column": "text",
"label_column": "label"
},
"output": {
"model_dir": "models/deberta_bioguard_v1",
"log_dir": "results/training_logs"
}
}
}