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AdaptiveChunking
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ali_hnet-ffn_s0

PyTorch
Safetensors
dynamic-chunking
tokenization
hnet
byte-level
beetle-hnet
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ali_hnet-ffn_s0
File size: 1,576 Bytes
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{
  "event": "final",
  "run": "ali_hnet-ffn_s0",
  "arch": "hnet_ffn",
  "objective": "ratio",
  "condition": "A",
  "step": 6000,
  "params": 22785033,
  "seed": 0,
  "per_lang": {
    "en": {
      "cpc": 0.19146124231454348,
      "cps": 26.03125,
      "bpb": 1.892164292916011,
      "bytes_per_chunk": 4.865194918478513
    },
    "tr": {
      "cpc": 0.20145832182511186,
      "cps": 28.4921875,
      "bpb": 2.008611757265818,
      "bytes_per_chunk": 5.422079735250013
    },
    "fi": {
      "cpc": 0.25878475360161607,
      "cps": 38.03125,
      "bpb": 2.127279023188143,
      "bytes_per_chunk": 4.119850069543215
    }
  },
  "bpb_mean": 2.009351691123324,
  "gini_cpc": 0.06886917830098982,
  "gini_cps": 0.0864353844855239,
  "bpic": 4.788722883430404,
  "mean_boundary_entropy": 0.09874764084815979,
  "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": 726.6966066360474,
  "ffn_params": 268041,
  "matched_to_ali_params": 268096
}