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AdaptiveChunking
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ali_hnet_s3

PyTorch
Safetensors
dynamic-chunking
tokenization
hnet
byte-level
beetle-hnet
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xet
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ali_hnet_s3
File size: 1,513 Bytes
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{
  "event": "final",
  "run": "ali_hnet_s3",
  "arch": "hnet",
  "objective": "ratio",
  "condition": "A",
  "step": 6000,
  "params": 22516992,
  "seed": 3,
  "per_lang": {
    "en": {
      "cpc": 0.20088490490145378,
      "cps": 27.3125,
      "bpb": 1.8884673001084857,
      "bytes_per_chunk": 4.852361913223753
    },
    "tr": {
      "cpc": 0.19449814947798708,
      "cps": 27.5078125,
      "bpb": 1.9947880605123576,
      "bytes_per_chunk": 5.749528446725447
    },
    "fi": {
      "cpc": 0.24304927967678486,
      "cps": 35.71875,
      "bpb": 2.132476768853844,
      "bytes_per_chunk": 4.580414631802417
    }
  },
  "bpb_mean": 2.0052440431582292,
  "gini_cpc": 0.05069827827623996,
  "gini_cps": 0.06189777662726148,
  "bpic": 4.8953317801363365,
  "mean_boundary_entropy": 0.10596814751625061,
  "dechunk": "ema",
  "router_noise": 0.0,
  "transitions": [
    {
      "step": 0,
      "phase": 1,
      "objective": "global",
      "router_trainable": true,
      "encoder_trainable": true,
      "frozen_router_params": 0
    },
    {
      "step": 2400,
      "phase": 2,
      "objective": "global",
      "router_trainable": true,
      "encoder_trainable": true,
      "frozen_router_params": 0
    },
    {
      "step": 4200,
      "phase": 3,
      "objective": "global",
      "router_trainable": true,
      "encoder_trainable": true,
      "frozen_router_params": 0
    }
  ],
  "probe_overhead_sec_total": 0.0,
  "probe_overhead_seq_frac": 0.0,
  "wall_sec": 588.1204781532288
}