Token Classification
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Safetensors
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{
"stage": 4,
"dataset_id": "THemidli/applied-ner-stage4-improved",
"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": 841,
"test_records": 159,
"train_chunks": 865,
"test_chunks": 165,
"max_length": 256,
"wall_seconds": 14.937,
"trainer_metrics": {
"train_runtime": 14.8851,
"train_samples_per_second": 929.789,
"train_steps_per_second": 30.097,
"total_flos": 6246600094602.0,
"train_loss": 0.4432598276595984,
"epoch": 16.0
},
"hyperparameters": {
"epochs": 16,
"learning_rate": 0.0005,
"train_batch_size": 32,
"eval_batch_size": 64,
"weight_decay": 0.02,
"label_smoothing_factor": 0.0,
"warmup_steps": 45,
"scheduler": "linear",
"hidden_dropout": 0.1,
"attention_dropout": 0.1,
"classifier_dropout": 0.1
},
"train_overall": {
"overall_precision": 0.9539951573849879,
"overall_recall": 0.9708781362007168,
"overall_f1": 0.9623626068613301,
"overall_accuracy": 0.9948478767829058
},
"test_overall": {
"overall_precision": 0.42610652663165793,
"overall_recall": 0.5264133456904542,
"overall_f1": 0.4709784411276949,
"overall_accuracy": 0.8332408742926883
},
"test_f1_change_vs_stage3": 0.002472883284961258
}