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tiny-hinglish-turn-detector

Audio Classification
ONNX
Hindi
English
onnxruntime
audio
turn-detection
endpointing
hinglish
voice-ai
Model card Files
xet
 Community
tiny-hinglish-turn-detector
File size: 2,205 Bytes
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{
  "data": {
    "batch_size": 16,
    "num_workers": 0,
    "revision": "e564e2ac567f774d1880aa1db6ce97afb8c519b7",
    "scope": "preview-only: 3265 rows from train-00010-of-00083; official test remains sealed",
    "shuffle_buffer": 32,
    "source_root": ".",
    "train_source": "data/processed/partial-iid-splits.jsonl",
    "train_split": "train",
    "validation_source": "data/processed/partial-iid-splits.jsonl",
    "validation_split": "validation"
  },
  "features": {
    "center": true,
    "drop_last_frame": true,
    "f_max": 8000.0,
    "f_min": 0.0,
    "hop_length": 160,
    "log_scale": "whisper",
    "max_seconds": 4.0,
    "mel_scale": "htk",
    "n_fft": 400,
    "n_mels": 80,
    "normalize": false,
    "pad_side": "left",
    "sample_rate": 16000,
    "win_length": 400
  },
  "loss": {
    "endfiller_weight": 0.15,
    "endpoint_pos_weight": null,
    "endpoint_weight": 1.0,
    "label_smoothing": 0.02,
    "midfiller_weight": 0.15
  },
  "model": {
    "attention_channels": 96,
    "auxiliary_fillers": true,
    "channels": 128,
    "dilation_cycle": [
      1,
      2,
      4,
      8,
      16,
      32
    ],
    "dropout": 0.1,
    "head_hidden": 96,
    "kernel_size": 5,
    "n_mels": 80,
    "num_blocks": 6,
    "type": "tiny_tcn"
  },
  "run": {
    "caveat": "Weights-only continuation from the selected epoch-3 LR=3e-4 preview after an interrupted independent run. The optimizer and schedule restart intentionally. Uses 1 of 83 upstream shards; development-only, source-confounded, not official-test or Hinglish evidence.",
    "init_checkpoint": "artifacts/partial-shard-preview-tinytcn-4s/best.pt",
    "name": "partial-shard-warmstart-lr3e4-5ep",
    "output_dir": "artifacts/partial-shard-warmstart-lr3e4-5ep",
    "status": "preview-only"
  },
  "training": {
    "deterministic": true,
    "device": "cpu",
    "early_stopping_patience": 5,
    "epochs": 5,
    "false_positive_rate_budget": 0.02,
    "gradient_accumulation_steps": 1,
    "learning_rate": 0.0003,
    "max_gradient_norm": 1.0,
    "min_improvement": 0.0001,
    "mixed_precision": false,
    "seed": 17,
    "selection_metric": "average_precision",
    "weight_decay": 0.001
  }
}