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AdaptiveChunking
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ali_mem-split_s0

PyTorch
Safetensors
dynamic-chunking
tokenization
hnet
byte-level
beetle-hnet
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suchirsalhan commited on
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1 Parent(s): e77869f

final: log, final.json, probes

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  1. config.yaml +78 -0
  2. final.json +253 -0
  3. hub.jsonl +18 -0
  4. log.jsonl +0 -0
  5. probe/000000__en.npz +3 -0
  6. probe/000000__fi.npz +3 -0
  7. probe/000000__tr.npz +3 -0
  8. probe/000001__en.npz +3 -0
  9. probe/000001__fi.npz +3 -0
  10. probe/000001__tr.npz +3 -0
  11. probe/000002__en.npz +3 -0
  12. probe/000002__fi.npz +3 -0
  13. probe/000002__tr.npz +3 -0
  14. probe/000004__en.npz +3 -0
  15. probe/000004__fi.npz +3 -0
  16. probe/000004__tr.npz +3 -0
  17. probe/000006__en.npz +3 -0
  18. probe/000006__fi.npz +3 -0
  19. probe/000006__tr.npz +3 -0
  20. probe/000008__en.npz +3 -0
  21. probe/000008__fi.npz +3 -0
  22. probe/000008__tr.npz +3 -0
  23. probe/000016__en.npz +3 -0
  24. probe/000016__fi.npz +3 -0
  25. probe/000016__tr.npz +3 -0
  26. probe/000032__en.npz +3 -0
  27. probe/000032__fi.npz +3 -0
  28. probe/000032__tr.npz +3 -0
  29. probe/000064__en.npz +3 -0
  30. probe/000064__fi.npz +3 -0
  31. probe/000064__tr.npz +3 -0
  32. probe/000128__en.npz +3 -0
  33. probe/000128__fi.npz +3 -0
  34. probe/000128__tr.npz +3 -0
  35. probe/000200__en.npz +3 -0
  36. probe/000200__fi.npz +3 -0
  37. probe/000200__tr.npz +3 -0
  38. probe/000256__en.npz +3 -0
  39. probe/000256__fi.npz +3 -0
  40. probe/000256__tr.npz +3 -0
  41. probe/000400__en.npz +3 -0
  42. probe/000400__fi.npz +3 -0
  43. probe/000400__tr.npz +3 -0
  44. probe/000512__en.npz +3 -0
  45. probe/000512__fi.npz +3 -0
  46. probe/000512__tr.npz +3 -0
  47. probe/000600__en.npz +3 -0
  48. probe/000600__fi.npz +3 -0
  49. probe/000600__tr.npz +3 -0
  50. probe/000800__en.npz +3 -0
config.yaml ADDED
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+ model: {architecture: ali, d_enc: 256, d_main: 512, n_enc: 2, n_dec: 2, n_main: 6,
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+ n_heads_enc: 4, n_heads_main: 8, seq_len: 1024, dropout: 0.0, target_ratio: 6.0,
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+ max_chunk_mult: 3.0, dechunk: ema, router_noise: 0.0, rope_base: 10000.0}
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+ memory:
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+ ali:
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+ budget_B: 65536
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+ staging_capacity: 262144
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+ policy: frequency
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+ value_mode: learned
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+ candidate_types: [split]
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+ write_rule: mean
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+ eta_min: 0.0
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+ memory_scope: persistent
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+ consolidate_every: 50
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+ max_span: 64
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+ gate: vector
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+ retrieval: true
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+ read_dropout: 0.1
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+ gate_hidden: 0
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+ type_dim: 16
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+ gate_bias_init: -2.0
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+ probe_seqs: 2
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+ probe_reps: 8
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+ horizon: 32
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+ predictor: mlp
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+ lambda_util: 0.1
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+ enabled: true
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+ inventory_kwargs: {}
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+ probe_mix: null
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+ util_batch_slots: 1024
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+ pkm: {n_keys: 256, topk: 8, heads: 1, d_key: null, value_lr_mult: 1.0}
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+ objective: {name: ratio, schedule: null, alpha: 0.03, alpha_parity_cap: 0.06, global_anchor: 0.0,
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+ premium_clip: 4.0, premium_kind: flores_per_sent, tau1: 0.4, tau2: 0.7, freeze_scope: router,
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+ cpc_decay: 0.9, genreg_target_entropy: null, genreg_eta: 0.05}
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+ data:
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+ corpus: corpus
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+ langs: [en, tr, fi]
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+ mixture: null
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+ doc_filters: null
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+ byte_classes: scratch/data/byte_classes.json
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+ training:
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+ seed: 0
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+ max_steps: 6000
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+ batch_size: 32
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+ grad_accum: 1
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+ lr: 0.0003
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+ min_lr_frac: 0.1
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+ warmup: 300
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+ weight_decay: 0.1
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+ grad_clip: 1.0
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+ betas: [0.9, 0.95]
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+ router_lr_mult: 1.0
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+ log_every: 50
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+ amp: bf16
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+ compile: false
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+ device: cuda
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+ checkpointing:
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+ run_name: ali_mem-split_s0
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+ runs_dir: runs
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+ ckpt_every: 200
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+ keep: false
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+ milestones: [1000, 3000]
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+ resume: auto
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+ keep_schedule: log2
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+ keep_extra_offsets: [2, 4, 6, 8]
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+ hub_repo: AdaptiveChunking/{run_name}
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+ hub_private: false
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+ keep_local: false
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+ evaluation:
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+ eval_every: 200
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+ eval_batches: 8
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+ probe_sents: 128
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+ probe_bpb_batches: 4
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+ log_spaced_probe: true
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+ dense_early_every: 0
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+ dense_early_until: 0
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+ dump_reps: true
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+ dump_reps_thresholds: [0.3, 0.4, 0.5, 0.6, 0.7]
final.json ADDED
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+ "event": "final",
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+ "arch": "ali",
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