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| metric | value |
|---|---|
step | 1123 |
smooth_train_loss | 3.7412948608398438 |
min_objective | 1.1194889340805514 |
flops_used | 1.348888905134375e+18 |
flops_per_token | 4582014976.0 |
total_training_time | 435.7113516330719 |
1{
2 "model_pt": {
3 "sequence_len": 2048,
4 "vocab_size": 65536,
5 "n_layer": 22,
6 "n_head": 11,
7 "n_kv_head": 11,
8 "n_embd": 1408
9 },
10 "model_ppt": {
11 "sequence_len": 2048,
12 "vocab_size": 65536,
13 "n_layer": 22,
14 "n_head": 11,
15 "n_kv_head": 11,
16 "n_embd": 1408
17 },
18 "optim": {
19 "matrix_lr": 0.015,
20 "embedding_lr": 0.3,
21 "unembedding_lr": 0.004,
22 "weight_decay": 0.0
23 },
24 "train": {
25 "num_iterations": 1000,
26 "eval_every_n_steps": null,
27 "eval_every_flops_frac": 0.05,
28 "save_every_n_steps": null,
29 "save_at_steps": null,
30 "log_every_n_steps": 100,
31 "eval_at_end": true,
32 "save_at_end": true,
33 "grad_clip": 1.0,
34 "ema_beta": 0.0
35 },
36 "eval": {
37 "eval_steps": 8,
38 "eval_tokens": 2016000
39 },
40 "hardware": {
41 "device_batch_size": 32,
42 "grad_accum_steps": 1,
43 "peak_tflops": 2250.0
44 },
45 "wandb": {
46 "enabled": true,
47 "notes": "",
48 "group": "3e19_ppt0.05",
49 "tags": [
50 "nanochat_gpt",
51 "pt_fineweb-nanochatbpe-20B",
52 "ppt_c4-nanochatbpe-10B",
53 "seed_1",
54 "case_b",
55 "lr_trapezoid",
56 "depth_22"
57 ],
58 "entity": null
59 },
60 "data_pt": "fineweb-nanochatbpe-20B",
61 "data_ppt": "c4-nanochatbpe-10B",
62 "extra_eval": [
63 "github-code-nanochatbpe-1B"
64 ],
65 "train_split": "train",
66 "pad_vocab": 65536,
67 "ppt_vocab_size": null,
68 "ppt_same_vocab_as_pt": true,
69 "ppt_unified_lr": true,
70 "lr_kind": "trapezoid",
71 "lr_warmup_ratio": 0.0,
72 "lr_warmdown_ratio": 0.4,
73 "lr_final_frac": 0.0,
74 "ppt_lr_kind": "trapezoid",
75 "ppt_lr_warmup_ratio": null,
76 "ppt_lr_warmdown_ratio": null,
77 "ppt_lr_final_frac": 0.0,
78 "ppt_lr": null,
79 "ppt_weight_decay": 0.0,
80 "ppt_device_batch_size": null,
81 "ppt_grad_accum_steps": null,
82 "eval_tokens": 2016000,
83 "reinit_embed_at_transition": false,
84 "moment_match_embed_reinit": false,
85 "reset_optimizer_at_transition": false,
86 "random_pt_head": false,
87 "depth": 22,
88 "compile_model": true,
89 "model_project": "evalcurve_27e18_v0",
90 "run_name": "c4_5pct_27e18_d22_seed1",
91 "target_flops": 2.7e+19,
92 "ppt_tokens": null,
93 "pt_tokens": null,
94 "ppt_eval_every_n_steps": null,
95 "alpha_ppt": 0.05,
96 "use_measured_flops": true,
97 "flops_per_token": null,
98 "ppt_flops_per_token": null,
99 "seed": 1,
100 "metrics_output_file": null,
101 "push_to_hf": true,
102 "hf_repo_org": "alexkstern",
103 "cleanup_checkpoints": true
104}model_001123.pt — model weights (state_dict).meta_001123.json — training metadata.config_001123.json — run config snapshot.rng_001123.pt — RNG state (when present).