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AdaptiveChunking
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ali_pkm_s2

PyTorch
Safetensors
dynamic-chunking
tokenization
hnet
byte-level
beetle-hnet
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ali_pkm_s2
File size: 1,506 Bytes
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{
  "event": "final",
  "run": "ali_pkm_s2",
  "arch": "pkm",
  "objective": "ratio",
  "condition": "A",
  "step": 6000,
  "params": 39425792,
  "seed": 2,
  "per_lang": {
    "en": {
      "cpc": 0.188243406309257,
      "cps": 25.59375,
      "bpb": 1.9115447383699333,
      "bytes_per_chunk": 5.369877605366928
    },
    "tr": {
      "cpc": 0.2082527757830194,
      "cps": 29.453125,
      "bpb": 2.0105914173131527,
      "bytes_per_chunk": 5.340885244231651
    },
    "fi": {
      "cpc": 0.23284248577959704,
      "cps": 34.21875,
      "bpb": 2.150320828794115,
      "bytes_per_chunk": 4.689139514708119
    }
  },
  "bpb_mean": 2.024152328159067,
  "gini_cpc": 0.04724438710787515,
  "gini_cps": 0.06441449326098381,
  "bpic": 4.965167162611587,
  "mean_boundary_entropy": 0.14165401458740234,
  "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": 658.1900057792664
}