Hugging Face's logo

Serdar404
/
RecGPT-10M

Text Generation
Transformers
Safetensors
English
recgpt
babylm
babylm-2026
strict-small
custom_code
Model card Files
xet
 Community
RecGPT-10M
File size: 1,742 Bytes
cf96a3b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "dataset": "s33c67-10m.parquet",
  "tokenizer": "s33c67-10m-bpe",
  "run_name": "recgpt-10m-submission",
  "seed": 0,
  "data_seed": 0,
  "microbatch_tok": 32768,
  "total_batch_tok": 32768,
  "sequence_len": 256,
  "epochs": 10,
  "checkpoint_track": "strict-small",
  "max_tokens": -1,
  "lr_embed": 0.005,
  "lr_block": 0.02,
  "min_lr": 0.0,
  "wd_adam": 0.005,
  "wd_muon": 0.1,
  "adam_beta1": 0.9,
  "adam_beta2": 0.997,
  "muon_momentum": 0.95,
  "warmup_ratio": 0.0,
  "cooldown_ratio": 0.2,
  "max_grad_norm": 2.0,
  "nl_mult": 0.01,
  "nl_depth": 2,
  "nl_hidden": -1,
  "nl_intermediate": 5120,
  "nl_lr": 0.004,
  "nl_wd": 0.01,
  "nl_momentum": 0.95,
  "torch_compile": true,
  "use_wandb": true,
  "wandb_project": "bblm26-recgpt",
  "log_every": 10,
  "model_config": {
    "transformers_version": "5.9.0",
    "architectures": [
      "RecGPTForCausalLM"
    ],
    "output_hidden_states": false,
    "return_dict": true,
    "dtype": "float32",
    "chunk_size_feed_forward": 0,
    "is_encoder_decoder": false,
    "id2label": {
      "0": "LABEL_0",
      "1": "LABEL_1"
    },
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1
    },
    "problem_type": null,
    "_name_or_path": "",
    "pad_token_id": 0,
    "tie_word_embeddings": false,
    "vocab_size": 32768,
    "hidden_size": 768,
    "embedding_size": 192,
    "head_dim": 64,
    "num_heads": 12,
    "intermediate_size": 12288,
    "recursive_depth": 16,
    "max_position_embeddings": 1024,
    "is_decoder": true,
    "use_cache": false,
    "auto_map": {
      "AutoConfig": "modeling_recgpt.RecGPTConfig",
      "AutoModelForCausalLM": "modeling_recgpt.RecGPTForCausalLM"
    },
    "model_type": "recgpt",
    "output_attentions": false
  }
}