Fill-Mask
Transformers
PyTorch
English
babylm
babylm-2026
strict-small
gpt-bert
muon
adamuon
sample-efficient-pretraining
custom_code
Instructions to use svsatheesh/BabySteps_MurphysLaw-10M-mixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use svsatheesh/BabySteps_MurphysLaw-10M-mixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="svsatheesh/BabySteps_MurphysLaw-10M-mixed", trust_remote_code=True)# Load model directly from transformers import GPTBERTFoCausalLM model = GPTBERTFoCausalLM.from_pretrained("svsatheesh/BabySteps_MurphysLaw-10M-mixed", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
c2026ck tail-avg as main
Browse files- args.json +52 -0
- pytorch_model.bin +1 -1
args.json
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{
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"babylm_checkpoints": true,
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"babylm_ckpt_dir": null,
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"beta1": 0.9,
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"beta2": 0.98,
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"causal_per_masked": 1,
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"dev_dir": "/home/sid/sidBabyLM/nanochat/data/dev",
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"eps": 1e-08,
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"full_dev": false,
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"grad_clip": 2.0,
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"hub_repo": null,
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"keep_ratio": 0.1,
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"lr": 0.007,
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"mask_end": 0.15,
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"mask_start": 0.3,
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"masked_per_causal": 0,
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"micro_batch": 8,
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"muon_aux_lr": 0.006,
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"muon_aux_weight_decay": null,
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"muon_batch_updates": true,
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"muon_beta2": 0.95,
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"muon_eps2": 1e-08,
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"muon_lr": 0.02,
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"muon_momentum": 0.95,
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"muon_nesterov": true,
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"muon_ns_steps": 5,
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"muon_split_qkv": true,
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"muon_weight_decay": 0.1,
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"optimizer": "adamuon",
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"output_dir": "/home/sid/sidBabyLM/gptbert/runs/sweep_20260713_134513_3036991/adamuon-10m-c2026ck-mixed-lr0.02-aux0.006-s42",
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"phase1_frac": 0.6,
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"phase2_frac": 0.8,
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"precision": "bf16",
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"push_to_hub": false,
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"random_ratio": 0.1,
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"repo": "BabyLM-community/babylm-baseline-10m-gpt-bert-causal-focus",
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"retokenize": false,
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"save_every": 0,
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"seed": 42,
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"tail_avg_every": 10,
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"tail_avg_frac": 0.2,
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"tokens_per_step": 16384,
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"total_steps": 9914,
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"track": "strict-small",
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"train_dir": "/home/sid/sidBabyLM/nanochat/data/small",
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"val_every": 1000,
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"val_seq_len": 128,
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"val_words": 1000000,
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"warmup_frac": 0.016,
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"weight_decay": 0.1,
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"z_loss": 0.0001
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 132236895
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version https://git-lfs.github.com/spec/v1
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oid sha256:0338d54a6628980c6217d2bc39cc58d0c9bb8c6fda776ce765be75706b832812
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size 132236895
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