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AdaptiveChunking
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ali_hnet-ffn_s1

PyTorch
Safetensors
dynamic-chunking
tokenization
hnet
byte-level
beetle-hnet
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ali_hnet-ffn_s1
File size: 1,580 Bytes
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{
  "event": "final",
  "run": "ali_hnet-ffn_s1",
  "arch": "hnet_ffn",
  "objective": "ratio",
  "condition": "A",
  "step": 6000,
  "params": 22785033,
  "seed": 1,
  "per_lang": {
    "en": {
      "cpc": 0.19939090961328507,
      "cps": 27.109375,
      "bpb": 1.8734956406583472,
      "bytes_per_chunk": 4.757215835367347
    },
    "tr": {
      "cpc": 0.17709771861017512,
      "cps": 25.046875,
      "bpb": 2.010916991220152,
      "bytes_per_chunk": 5.824451480308838
    },
    "fi": {
      "cpc": 0.17824677050661847,
      "cps": 26.1953125,
      "bpb": 2.187032976373556,
      "bytes_per_chunk": 5.555075227802501
    }
  },
  "bpb_mean": 2.023815202750685,
  "gini_cpc": 0.026791380844686463,
  "gini_cps": 0.017549107587994994,
  "bpic": 5.656795293648419,
  "mean_boundary_entropy": 0.0947919636964798,
  "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": 718.069610118866,
  "ffn_params": 268041,
  "matched_to_ali_params": 268096
}