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2025-09-01 01:45:34 - pico-train - INFO - Step 0 -- ๐Ÿ“Š Evaluation Results
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€โ”€ paloma: inf
2025-09-01 01:45:34 - pico-train - INFO - ==================================================
2025-09-01 01:45:34 - pico-train - INFO - โœจ Training Configuration
2025-09-01 01:45:34 - pico-train - INFO - ==================================================
2025-09-01 01:45:34 - pico-train - INFO - โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ checkpointing: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ checkpoints_dir: checkpoints โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ evaluation: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ eval_results_dir: eval_results โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ fabric_checkpoint_dir: fabric_state โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ fabric_checkpoint_filename: checkpoint.pt โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ hf_checkpoint: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ collection_slug: null โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ repo_id: pico-lm/pico-decoder-tiny โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ learning_dynamics: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ batch_size: 256 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ eval_data: pico-lm/pretokenized-paloma-tinsy โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ layer_suffixes: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ - attention.v_proj โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ - attention.o_proj โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ - swiglu.w_2 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ sequence_idx: -1 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ learning_dynamics_dir: learning_dynamics โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ logs_dir: logs โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ run_name: tiny-dolma205M-v2 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ runs_dir: runs โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ save_every_n_steps: 1000 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ save_to_hf: false โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ training: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ auto_resume: true โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ data: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ dataloader: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ batch_size: 1024 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ dataset: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ name: pico-lm/pretokenized-dolma โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ tokenizer: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ name: allenai/OLMo-7B-0724-hf โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ vocab_size: 50304 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ evaluation: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ metrics: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ - paloma โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ paloma: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ batch_size: 32 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ dataset_name: pico-lm/pretokenized-paloma-tinsy โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ dataset_split: val โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ max_length: 2048 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ model: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ activation_hidden_dim: 384 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ attention_n_heads: 12 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ attention_n_kv_heads: 4 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ batch_size: 1024 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ d_model: 96 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ max_seq_len: 2048 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ model_type: pico_decoder โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ n_layers: 12 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ norm_eps: 1.0e-06 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ position_emb_theta: 10000.0 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ vocab_size: 50304 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ monitoring: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ logging: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ log_every_n_steps: 100 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ log_level: INFO โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ save_to_wandb: false โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ wandb: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ entity: pico-lm โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ project: pico-decoder โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ training: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ fabric: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ accelerator: cuda โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ num_devices: 1 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ num_nodes: 1 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ precision: bf16-mixed โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ max_steps: 200000 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ optimization: โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ gradient_accumulation_steps: 256 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ lr: 0.0003 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ lr_scheduler: linear_with_warmup โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ lr_warmup_steps: 2500 โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ optimizer: adamw โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ”‚ โ”‚
2025-09-01 01:45:34 - pico-train - INFO - โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
2025-09-01 01:45:34 - pico-train - INFO - ==================================================
2025-09-01 01:45:34 - pico-train - INFO - โ›ญ Runtime Summary:
2025-09-01 01:45:34 - pico-train - INFO - ==================================================
2025-09-01 01:45:34 - pico-train - INFO - Starting from step: 0
2025-09-01 01:45:34 - pico-train - INFO - Model Setup:
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ Total Parameters: 11,282,784
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ Trainable Parameters: 11,282,784
2025-09-01 01:45:34 - pico-train - INFO - Distributed Setup:
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ Number of Devices: 1
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ Device Type: NVIDIA H100 80GB HBM3
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ Available Memory: 85.03 GB
2025-09-01 01:45:34 - pico-train - INFO - Software Setup:
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ Python Version: 3.12.3
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ PyTorch Version: 2.8.0+cu128
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ CUDA Version: 12.8
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ Operating System: Linux 6.8.0-71-generic
2025-09-01 01:45:34 - pico-train - INFO - Batch Size Configuration:
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ Global Batch Size: 1024
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ Per Device Batch Size: 4
2025-09-01 01:45:34 - pico-train - INFO - โ””โ”€ Gradient Accumulation Steps: 256
2025-09-01 01:45:34 - pico-train - INFO - ==================================================
2025-09-01 01:46:27 - pico-train - INFO - Step 0 -- ๐Ÿ”„ Training Metrics
2025-09-01 01:46:27 - pico-train - INFO - โ”œโ”€โ”€ Loss: 11.0002
2025-09-01 01:46:27 - pico-train - INFO - โ”œโ”€โ”€ Learning Rate: 0.00e+00
2025-09-01 01:46:27 - pico-train - INFO - โ””โ”€โ”€ Inf/NaN count: 0
2025-09-01 01:46:27 - pico-train - INFO - Step 0 -- ๐Ÿ“ˆ Saving Learning Dynamics