Hugging Face's logo

CharlieChen
/
loop-2-d12

Text Generation
PyTorch
English
looped-transformer
scaling-laws
base-model
Model card Files
xet
 Community
loop-2-d12
File size: 3,379 Bytes
dc6758c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
{
  "parameter_count": 494272512,
  "parameter_summary": {
    "total": 494272512,
    "parts": {
      "blocks": 339738624,
      "lm_head": 77266944,
      "other": 77266944
    }
  },
  "n_layer": 12,
  "n_head": 12,
  "n_embd": 1536,
  "head_dim": 128,
  "depth_scale_mode": "loop",
  "core_repetitions": 2,
  "core_layer_count": 4,
  "resolved_core_layer_count": 4,
  "prelude_layer_count": 4,
  "resolved_prelude_layer_count": 4,
  "coda_layer_count": 4,
  "resolved_coda_layer_count": 4,
  "effective_depth": 16,
  "expected_effective_depth": 16.0,
  "recurrence_rmsnorm": "recurrence_only",
  "recurrence_emb_alpha": 0.707106781187,
  "decoder_inject": true,
  "core_residual_branch_scale": 1.0,
  "resolved_core_residual_branch_scale": null,
  "core_repetition_schedule": "none",
  "core_repetition_crossover_fraction": null,
  "core_repetition_low": 1,
  "core_repetition_breakpoints": null,
  "lsched_lr_warmup_steps": 0,
  "lsched_lr_change_steps": [],
  "dep_grow_events": [],
  "target_core_repetitions": 2,
  "final_eval_active_core_repetitions": 2,
  "observed_train_core_repetitions_mean": null,
  "observed_train_core_repetitions_min": null,
  "observed_train_core_repetitions_max": null,
  "observed_train_core_repetitions_histogram": null,
  "recurrence_truncation_schedule": "none",
  "recurrence_bp_window": 0,
  "matrix_lr": 0.023644267457764198,
  "embedding_lr": 0.007566165586484544,
  "unembedding_lr": 0.0026750434968953593,
  "lr_multiplier": 1.0,
  "effective_matrix_lr": 0.023644267457764198,
  "effective_embedding_lr": 0.007566165586484544,
  "effective_unembedding_lr": 0.0026750434968953593,
  "weight_decay": 0.05,
  "matrix_weight_decay": 0.05,
  "embedding_weight_decay": 0.05,
  "unembedding_weight_decay": 0.05,
  "embedding_wd_skip_norm": 0.0,
  "adam_betas": [
    0.8,
    0.95
  ],
  "adam_eps": 1e-10,
  "lr_schedule": "wsd",
  "warmup_steps": 40,
  "warmdown_ratio": 1.0,
  "output_multiplier": 1.0,
  "residual_branch_multiplier": 0.25,
  "wte_init_std": 0.02,
  "uniform_init_scale": 0.0441941738242,
  "total_batch_size": 524288,
  "device_batch_size": 16,
  "num_epochs": 1,
  "estimated_num_iterations": 5709,
  "lr_schedule_steps": 5656,
  "resolved_lr_schedule_steps": 5656,
  "max_train_steps": 5656,
  "resolved_max_train_steps": 5656,
  "completed_epochs": 0,
  "seed": 42,
  "train_token_limit": 2995026657,
  "val_token_limit": 10000000,
  "token_limit_cutoff_devices": 16,
  "active_train_tokens": 2995026657,
  "packed_train_sequences_per_epoch": 1461504,
  "packed_train_tokens_per_epoch": 2993160192,
  "active_val_packed_sequences": 4864,
  "active_val_packed_tokens": 9961472,
  "val_loss": 2.947298953407689,
  "final_val_loss": 2.947298953407689,
  "final_train_loss": 2.913729958551019,
  "best_val_loss": 2.947298953407689,
  "best_val_bpb": 0.9578928979604535,
  "best_val_epoch": 1.0,
  "train_val_per_epoch": [
    {
      "epoch": 1,
      "step": 5656,
      "train_loss": 2.913729958551019,
      "val_loss": 2.947298953407689,
      "val_bpb": 0.9578928979604535
    }
  ],
  "core_block_residual_rms": 1.0154887437820435,
  "last_train_mfu": 46.31069649027914,
  "last_train_tok_per_sec": 1051800,
  "last_train_step_time_seconds": 0.49846720695495605,
  "total_training_time_seconds": 2807.408871650696,
  "total_wall_time_seconds": 2879.654093027115,
  "sequence_len": 2048,
  "window_pattern": "L"
}