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README.md

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+## Experiment Configuration
+```yaml
+callbacks:
+  grad_accum:
+    _target_: src.callbacks.gradient_accumulation.GradientAccumulationScheduler
+    scheduling:
+      0: 16
+  grad_norm:
+    _target_: src.callbacks.grad_norm.GradNorm
+    check_clipping: false
+    group_separator: /
+    histogram_freq: null
+    log_weight_distribution: false
+    norm_type: 2
+    only_total: true
+  lr_monitor:
+    _target_: src.callbacks.lr_monitor.SimpleLearningRateMonitor
+  model_checkpoint:
+    _target_: src.callbacks.model_checkpoint.ModelCheckpoint
+    dirpath: .checkpoints
+    enable_version_counter: false
+    every_n_train_steps: 2000
+    filename: '{step}'
+    save_initial_checkpoint: true
+    save_last: link
+    save_top_k: -1
+    verbose: true
+  speed_monitor:
+    _target_: src.callbacks.speed_monitor.SpeedMonitor
+data:
+  batch_size: 8
+  drop_last: false
+  eval_batch_size: 16
+  multiprocessing_context: null
+  num_workers: 8
+  persistent_workers: false
+  pin_memory: true
+  prefetch_factor: 2
+  shuffle: true
+dataset: minipile
+loggers:
+  tensorboard:
+    _target_: src.loggers.TensorBoardLogger
+    name: ''
+    save_dir: ./
+    version: ./
+model: smol_llama-81M-tied
+optim:
+  lr: 0.0006
+  num_warmup_steps: 2000
+  optim_kwargs:
+    betas:
+    - 0.9
+    - 0.95
+    eps: 1.0e-08
+    fused: true
+  optim_name: adamw
+  scheduler_kwargs:
+    min_lr_ratio: 0.01
+    num_decay_steps: 2000
+    num_stable_steps: 46000
+  scheduler_name: warmup_stable_decay
+  weight_decay: 0.1
+out_parent_folder: model_train
+resume_from_checkpoint: null
+run_folder: minipile/smol_llama-81M-tied_bpe128000minipile_2024-11-01T13-04-36
+save_initial_checkpoint: true
+seed: 42
+tok_name: bpe128000minipile
+tok_path: /home/pl487/rdd/outputs/tokenizers/bpe128000minipile
+torch_compile: true
+train_data_path: /home/pl487/rdd/data/minipile/bpe128000minipile/train
+trainer:
+  accelerator: gpu
+  deterministic: false
+  enable_progress_bar: true
+  fast_dev_run: false
+  gradient_clip_algorithm: norm
+  gradient_clip_val: 1.0
+  limit_val_batches: 500
+  log_every_n_steps: 1
+  max_steps: 50000
+  precision: bf16-true
+  val_check_interval: 2000
+val_data_path: /home/pl487/rdd/data/minipile/bpe128000minipile/validation
+```

events.out.tfevents.1730466280.dev-gpu-pl487.915577.0

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hparams.yaml

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+loggers:
+  tensorboard:
+    _target_: src.loggers.TensorBoardLogger
+    save_dir: ./
+    name: ''
+    version: ./
+callbacks:
+  lr_monitor:
+    _target_: src.callbacks.lr_monitor.SimpleLearningRateMonitor
+  grad_norm:
+    _target_: src.callbacks.grad_norm.GradNorm
+    norm_type: 2
+    group_separator: /
+    histogram_freq: null
+    check_clipping: false
+    log_weight_distribution: false
+    only_total: true
+  speed_monitor:
+    _target_: src.callbacks.speed_monitor.SpeedMonitor
+  grad_accum:
+    _target_: src.callbacks.gradient_accumulation.GradientAccumulationScheduler
+    scheduling:
+      0: 16
+  model_checkpoint:
+    _target_: src.callbacks.model_checkpoint.ModelCheckpoint
+    dirpath: .checkpoints
+    filename: '{step}'
+    enable_version_counter: false
+    every_n_train_steps: 2000
+    save_top_k: -1
+    save_last: link
+    verbose: true
+    save_initial_checkpoint: true
+tok_path: /home/pl487/rdd/outputs/tokenizers/bpe128000minipile
+run_folder: minipile/smol_llama-81M-tied_bpe128000minipile_2024-11-01T13-04-36
+out_parent_folder: model_train
+tok_name: bpe128000minipile
+dataset: minipile
+train_data_path: /home/pl487/rdd/data/minipile/bpe128000minipile/train
+val_data_path: /home/pl487/rdd/data/minipile/bpe128000minipile/validation
+model: smol_llama-81M-tied
+resume_from_checkpoint: null
+save_initial_checkpoint: true
+seed: 42
+torch_compile: true
+data:
+  batch_size: 8
+  eval_batch_size: 16
+  shuffle: true
+  drop_last: false
+  num_workers: 8
+  pin_memory: true
+  persistent_workers: false
+  prefetch_factor: 2
+  multiprocessing_context: null
+optim:
+  optim_name: adamw
+  lr: 0.0006
+  weight_decay: 0.1
+  optim_kwargs:
+    fused: true
+    eps: 1.0e-08
+    betas:
+    - 0.9
+    - 0.95
+  scheduler_name: warmup_stable_decay
+  num_warmup_steps: 2000
+  scheduler_kwargs:
+    num_stable_steps: 46000
+    num_decay_steps: 2000
+    min_lr_ratio: 0.01
+trainer:
+  accelerator: gpu
+  precision: bf16-true
+  deterministic: false
+  log_every_n_steps: 1
+  enable_progress_bar: true
+  fast_dev_run: false
+  gradient_clip_val: 1.0
+  gradient_clip_algorithm: norm
+  val_check_interval: 2000
+  max_steps: 50000
+  limit_val_batches: 500

tb_logs.parquet

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