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| metric | value |
|---|---|
step | 17196 |
smooth_train_loss | 2.848017393483838 |
min_objective | 0.9568313408960594 |
flops_used | 2.8502607518490427e+19 |
flops_per_token | 3161456704.0 |
total_training_time | 19880.181174755096 |
1{
2 "model_pt": {
3 "sequence_len": 1024,
4 "vocab_size": 64000,
5 "n_layer": 24,
6 "n_head": 16,
7 "n_embd": 1024,
8 "intermediate_size": 4096,
9 "rope_theta": 10000.0,
10 "attention_dropout": 0.1,
11 "weight_tying": true,
12 "head_bias": true,
13 "initializer_range": 0.02,
14 "attn_implementation": "sdpa"
15 },
16 "model_ppt": null,
17 "optim": {
18 "matrix_lr": 0.0005,
19 "embedding_lr": 0.0005,
20 "unembedding_lr": 0.0005,
21 "weight_decay": 0.0001
22 },
23 "train": {
24 "num_iterations": 1000,
25 "eval_every_n_steps": 1000,
26 "save_every_n_steps": null,
27 "log_every_n_steps": 10,
28 "eval_at_end": true,
29 "save_at_end": true,
30 "grad_clip": 1.0
31 },
32 "eval": {
33 "eval_steps": 4,
34 "eval_tokens": 2016000
35 },
36 "hardware": {
37 "device_batch_size": 128,
38 "grad_accum_steps": 1,
39 "peak_tflops": 2250.0
40 },
41 "wandb": {
42 "enabled": true,
43 "notes": "",
44 "group": "repro_nca_owt",
45 "tags": [
46 "hf_llama",
47 "vocab_64000",
48 "pt_owt-gpt2bpe-9B",
49 "seed_42",
50 "ppt_nca-paper-1024",
51 "ppt_lr_trapezoid",
52 "reinit"
53 ],
54 "entity": null
55 },
56 "data_pt": "owt-gpt2bpe-9B",
57 "data_ppt": "nca-paper-1024",
58 "extra_eval": [
59 "fineweb-gpt2bpe-20B",
60 "c4-gpt2bpe-10B"
61 ],
62 "train_split": "train",
63 "pad_vocab": 64000,
64 "lr_kind": "cosine",
65 "lr_warmup_ratio": 0.1,
66 "lr_warmdown_ratio": 0.0,
67 "lr_final_frac": 0.0,
68 "ppt_lr": 0.0001,
69 "ppt_weight_decay": 0.0,
70 "ppt_grad_clip": 0.0,
71 "ppt_device_batch_size": 8,
72 "ppt_grad_accum_steps": 1,
73 "ppt_lr_kind": "trapezoid",
74 "ppt_lr_warmup_ratio": 1.0,
75 "ppt_lr_warmdown_ratio": 0.0,
76 "ppt_tokens": 164160000,
77 "pt_tokens": null,
78 "eval_tokens": 2016000,
79 "reinit_embed_at_transition": true,
80 "reset_optimizer_at_transition": true,
81 "depth": null,
82 "compile_model": true,
83 "model_project": "nca-repro",
84 "run_name": "nca_owt",
85 "target_flops": 2.9022e+19,
86 "alpha_ppt": 0.0,
87 "use_measured_flops": true,
88 "seed": 42,
89 "push_to_hf": true,
90 "hf_repo_org": "alexkstern"
91}model_017196.pt — model weights (state_dict).meta_017196.json — training metadata.config_017196.json — run config snapshot.rng_017196.pt — RNG state (when present).