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pdlm_depth4_bs1_pr1_ratio40_causal_samenoisy/base_checkpoints/d4/meta_003328.json

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+{
+  "step": 3328,
+  "val_bpb": 0,
+  "model_config": {
+    "sequence_len": 1024,
+    "pure_vocab_size": 4096,
+    "all_vocab_size": 4917,
+    "n_layer": 4,
+    "n_head": 2,
+    "n_kv_head": 2,
+    "n_embd": 256,
+    "prefix_pure_tokens": 1,
+    "mask_token_id": 4096
+  },
+  "user_config": {
+    "run": "pdlm_depth4_bs1_pr1_ratio40_causal_samenoisy",
+    "device_type": "",
+    "depth": 4,
+    "max_seq_len": 1024,
+    "block_size": 1,
+    "prefix_pure_tokens": 1,
+    "is_causal": true,
+    "noise_total_steps": 0,
+    "debug": false,
+    "num_iterations": -1,
+    "target_flops": -1.0,
+    "target_param_data_ratio": 40,
+    "device_batch_size": 64,
+    "total_batch_size": 65536,
+    "embedding_lr": 0.2,
+    "unembedding_lr": 0.004,
+    "weight_decay": 0.0,
+    "matrix_lr": 0.02,
+    "grad_clip": 1.0,
+    "warmup_ratio": 0.0,
+    "warmdown_ratio": 0.2,
+    "final_lr_frac": 0.0,
+    "resume_from_step": -1,
+    "eval_every": -1,
+    "eval_tokens": 10485760,
+    "core_metric_every": -1,
+    "core_metric_max_per_task": 500,
+    "sample_every": 2000,
+    "save_every": -1,
+    "model_tag": ""
+  },
+  "device_batch_size": 64,
+  "max_seq_len": 1024,
+  "dataloader_state_dict": {
+    "pq_idx": 3,
+    "rg_idx": 129
+  },
+  "loop_state": {
+    "min_val_bpb": Infinity,
+    "smooth_train_loss": 1.0520485187019877,
+    "total_training_time": 399.0137403011322
+  }
+}

pdlm_depth4_bs1_pr1_ratio40_causal_samenoisy/base_checkpoints/d4/model_003328.pt

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pdlm_depth4_bs1_pr1_ratio40_causal_samenoisy/base_checkpoints/d4/optim_003328_rank0.pt

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pdlm_depth4_bs1_pr1_ratio40_causal_samenoisy/report/base-model-training.md

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+## Base model training
+timestamp: 2025-12-30 02:06:05
+
+- run: pdlm_depth4_bs1_pr1_ratio40_causal_samenoisy
+- device_type: 
+- depth: 4
+- max_seq_len: 1024
+- block_size: 1
+- prefix_pure_tokens: 1
+- is_causal: True
+- noise_total_steps: 0
+- debug: False
+- num_iterations: -1
+- target_flops: -1.0000
+- target_param_data_ratio: 40
+- device_batch_size: 64
+- total_batch_size: 65,536
+- embedding_lr: 0.2000
+- unembedding_lr: 0.0040
+- weight_decay: 0.0000
+- matrix_lr: 0.0200
+- grad_clip: 1.0000
+- warmup_ratio: 0.0000
+- warmdown_ratio: 0.2000
+- final_lr_frac: 0.0000
+- resume_from_step: -1
+- eval_every: -1
+- eval_tokens: 10,485,760
+- core_metric_every: -1
+- core_metric_max_per_task: 500
+- sample_every: 2000
+- save_every: -1
+- model_tag: 
+- Number of parameters: 5,453,056
+- Number of FLOPs per token: 3.774874e+07
+- Calculated number of iterations: 3328
+- Number of training tokens: 218,103,808
+- Tokens : Params ratio: 39.9966
+- DDP world size: 1
+- warmup_ratio: 0.0000
+- warmdown_ratio: 0.2000
+- final_lr_frac: 0.0000
+- Minimum validation bpb: inf
+- Final validation bpb: 0
+- CORE metric estimate: None
+- MFU %: 2.09%
+- Total training flops: 8.233143e+15
+- Total training time: 6.65m
+- Peak memory usage: 6892.04MiB
+

pdlm_depth4_bs1_pr1_ratio40_causal_samenoisy/report/header.md

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+# nanochat training report
+
+Generated: 2025-12-30 01:57:46
+
+## Environment
+
+### Git Information
+- Branch: tokenizer
+- Commit: 9d07067 (clean)
+- Message: update cli
+
+### Hardware
+- Platform: Linux
+- CPUs: 6 cores (12 logical)
+- Memory: 83.5 GB
+- GPUs: 1x NVIDIA A100-SXM4-40GB
+- GPU Memory: 39.6 GB total
+- CUDA Version: 12.6
+- Hourly Rate: $1.79/hour
+
+### Software
+- Python: 3.12.12
+- PyTorch: 2.9.0+cu126
+
+
+### Bloat
+- Characters: 537,246
+- Lines: 13,151
+- Files: 72
+- Tokens (approx): 134,311
+- Dependencies (uv.lock lines): 2,218
+
+Run started: 2025-12-30 01:57:46
+
+---
+

pdlm_depth4_bs1_pr1_ratio40_causal_samenoisy/tokenizer/token_bytes.pt

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pdlm_depth4_bs1_pr1_ratio40_causal_samenoisy/tokenizer/token_maps.pt

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pdlm_depth4_bs1_pr1_ratio40_causal_samenoisy/tokenizer/tokenizer.pkl

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