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applied-ner-stage3-bert-tiny / artifacts /stage3_run_metadata.json
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{
"stage": 3,
"dataset_id": "THemidli/applied-ner-stage2-expanded",
"base_model": "google/bert_uncased_L-2_H-128_A-2",
"seed": 20260802,
"labels": [
"O",
"B-PERSON",
"I-PERSON",
"B-ORGANIZATION",
"I-ORGANIZATION",
"B-LOCATION",
"I-LOCATION",
"B-TIMEDATE",
"I-TIMEDATE",
"B-PRODUCT",
"I-PRODUCT",
"B-WORKOFART",
"I-WORKOFART",
"B-JOB",
"I-JOB",
"B-AMOUNT",
"I-AMOUNT"
],
"parameter_count": 4371601,
"trainable_parameter_count": 4371601,
"device": "mps",
"platform": "macOS-27.0-arm64-arm-64bit",
"torch_version": "2.13.0",
"train_records": 641,
"test_records": 159,
"train_chunks": 665,
"test_chunks": 165,
"max_length": 256,
"wall_seconds": 17.78,
"trainer_metrics": {
"train_runtime": 17.7226,
"train_samples_per_second": 750.453,
"train_steps_per_second": 23.699,
"total_flos": 6790820960700.0,
"train_loss": 0.4253458108220782,
"epoch": 20.0
},
"hyperparameters": {
"epochs": 20,
"learning_rate": 0.0005,
"train_batch_size": 32,
"eval_batch_size": 64,
"weight_decay": 0.01,
"warmup_steps": 42,
"scheduler": "linear"
},
"train_overall": {
"overall_precision": 0.9580712788259959,
"overall_recall": 0.9725990955041235,
"overall_f1": 0.9652805280528053,
"overall_accuracy": 0.9956925601429952
},
"test_overall": {
"overall_precision": 0.42148148148148146,
"overall_recall": 0.5273401297497683,
"overall_f1": 0.4685055578427336,
"overall_accuracy": 0.8269166759125708
}
}