pretrain core 2

out/pretrain-core-2/final/hyperparameters.yaml

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+model_name: tangled-alpha-0.11-core
+model_config:
+  name: tangled-alpha-0.11-core
+  hf_config: {}
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+  n_layer: 32
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+  norm_class_name: RMSNorm
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+  norm_qk: false
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+  post_mlp_norm: false
+  parallel_residual: false
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+  bias: false
+  mlp_class_name: LLaMAMLP
+  gelu_approximate: none
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+  scale_embeddings: false
+  lm_head_bias: false
+out_dir: ../out/pretrain-core-2
+precision: bf16-true
+initial_checkpoint_dir: ../out/pretrain-core-1/checkpoint
+data:
+  class_path: litgpt.data.LitData
+  init_args:
+    data_path: ../core-data-2-2049-4097-4097-4000/
+    seed: 42
+    num_workers: 32
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+  log_interval: 1
+  global_batch_size: 512
+  micro_batch_size: 2
+  lr_warmup_steps: 0
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+  tie_embeddings: false
+  max_norm: 1.0
+  min_lr: 1.0e-05
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+  max_iters: 100
+  initial_validation: true
+  final_validation: true
+  evaluate_example: first
+optimizer:
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+    rho: 0.04
+    weight_decay: 0.1
+devices: auto
+num_nodes: 1
+tokenizer_dir: ../tokenizer
+logger_name: wandb
+seed: 23

out/pretrain-core-2/final/lit_model.pth

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out/pretrain-core-2/final/model_config.yaml

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out/pretrain-core-2/final/tokenizer.json

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out/pretrain-core-2/final/tokenizer_config.json

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