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2025-08-30 18:43:39 - pico-train - INFO - Step 78000 -- 📊 Evaluation Results
2025-08-30 18:43:39 - pico-train - INFO - └── paloma: inf
2025-08-30 18:43:39 - pico-train - INFO - ==================================================
2025-08-30 18:43:39 - pico-train - INFO - ✨ Training Configuration
2025-08-30 18:43:39 - pico-train - INFO - ==================================================
2025-08-30 18:43:39 - pico-train - INFO - ╭─────────────────────────────────────────────────────╮
2025-08-30 18:43:39 - pico-train - INFO - │ checkpointing:                                      │
2025-08-30 18:43:39 - pico-train - INFO - │   checkpoints_dir: checkpoints                      │
2025-08-30 18:43:39 - pico-train - INFO - │   evaluation:                                       │
2025-08-30 18:43:39 - pico-train - INFO - │     eval_results_dir: eval_results                  │
2025-08-30 18:43:39 - pico-train - INFO - │   fabric_checkpoint_dir: fabric_state               │
2025-08-30 18:43:39 - pico-train - INFO - │   fabric_checkpoint_filename: checkpoint.pt         │
2025-08-30 18:43:39 - pico-train - INFO - │   hf_checkpoint:                                    │
2025-08-30 18:43:39 - pico-train - INFO - │     collection_slug: null                           │
2025-08-30 18:43:39 - pico-train - INFO - │     repo_id: ThomasTheMaker/pico-decoder-tiny       │
2025-08-30 18:43:39 - pico-train - INFO - │   learning_dynamics:                                │
2025-08-30 18:43:39 - pico-train - INFO - │     batch_size: 12025-08-30 18:43:39 - pico-train - INFO - │     eval_data: null                                 │
2025-08-30 18:43:39 - pico-train - INFO - │     layer_suffixes:                                 │
2025-08-30 18:43:39 - pico-train - INFO - │     - attention.v_proj                              │
2025-08-30 18:43:39 - pico-train - INFO - │     - attention.o_proj                              │
2025-08-30 18:43:39 - pico-train - INFO - │     - swiglu.w_2                                    │
2025-08-30 18:43:39 - pico-train - INFO - │     sequence_idx: -12025-08-30 18:43:39 - pico-train - INFO - │   learning_dynamics_dir: learning_dynamics          │
2025-08-30 18:43:39 - pico-train - INFO - │   logs_dir: logs                                    │
2025-08-30 18:43:39 - pico-train - INFO - │   run_name: pico-decoder-tiny-dolma10M-v1           │
2025-08-30 18:43:39 - pico-train - INFO - │   runs_dir: runs                                    │
2025-08-30 18:43:39 - pico-train - INFO - │   save_every_n_steps: 20002025-08-30 18:43:39 - pico-train - INFO - │   save_to_hf: true                                  │
2025-08-30 18:43:39 - pico-train - INFO - │   training:                                         │
2025-08-30 18:43:39 - pico-train - INFO - │     auto_resume: true                               │
2025-08-30 18:43:39 - pico-train - INFO - │ data:                                               │
2025-08-30 18:43:39 - pico-train - INFO - │   dataloader:                                       │
2025-08-30 18:43:39 - pico-train - INFO - │     batch_size: 162025-08-30 18:43:39 - pico-train - INFO - │   dataset:                                          │
2025-08-30 18:43:39 - pico-train - INFO - │     name: ThomasTheMaker/pretokenized-dolma-10M     │
2025-08-30 18:43:39 - pico-train - INFO - │   tokenizer:                                        │
2025-08-30 18:43:39 - pico-train - INFO - │     name: allenai/OLMo-7B-0724-hf                   │
2025-08-30 18:43:39 - pico-train - INFO - │     vocab_size: 503042025-08-30 18:43:39 - pico-train - INFO - │ evaluation:                                         │
2025-08-30 18:43:39 - pico-train - INFO - │   metrics:                                          │
2025-08-30 18:43:39 - pico-train - INFO - │   - paloma                                          │
2025-08-30 18:43:39 - pico-train - INFO - │   paloma:                                           │
2025-08-30 18:43:39 - pico-train - INFO - │     batch_size: 12025-08-30 18:43:39 - pico-train - INFO - │     dataset_name: pico-lm/pretokenized-paloma-tinsy │
2025-08-30 18:43:39 - pico-train - INFO - │     dataset_split: val                              │
2025-08-30 18:43:39 - pico-train - INFO - │     max_length: 20482025-08-30 18:43:39 - pico-train - INFO - │ model:                                              │
2025-08-30 18:43:39 - pico-train - INFO - │   activation_hidden_dim: 3842025-08-30 18:43:39 - pico-train - INFO - │   attention_n_heads: 122025-08-30 18:43:39 - pico-train - INFO - │   attention_n_kv_heads: 42025-08-30 18:43:39 - pico-train - INFO - │   batch_size: 10242025-08-30 18:43:39 - pico-train - INFO - │   d_model: 962025-08-30 18:43:39 - pico-train - INFO - │   max_seq_len: 20482025-08-30 18:43:39 - pico-train - INFO - │   model_type: pico_decoder                          │
2025-08-30 18:43:39 - pico-train - INFO - │   n_layers: 122025-08-30 18:43:39 - pico-train - INFO - │   norm_eps: 1.0e-062025-08-30 18:43:39 - pico-train - INFO - │   position_emb_theta: 10000.02025-08-30 18:43:39 - pico-train - INFO - │   vocab_size: 503042025-08-30 18:43:39 - pico-train - INFO - │ monitoring:                                         │
2025-08-30 18:43:39 - pico-train - INFO - │   logging:                                          │
2025-08-30 18:43:39 - pico-train - INFO - │     log_every_n_steps: 1002025-08-30 18:43:39 - pico-train - INFO - │     log_level: INFO                                 │
2025-08-30 18:43:39 - pico-train - INFO - │   save_to_wandb: false                              │
2025-08-30 18:43:39 - pico-train - INFO - │   wandb:                                            │
2025-08-30 18:43:39 - pico-train - INFO - │     entity: boymyc                                  │
2025-08-30 18:43:39 - pico-train - INFO - │     project: pico-decoder-tiny                      │
2025-08-30 18:43:39 - pico-train - INFO - │ training:                                           │
2025-08-30 18:43:39 - pico-train - INFO - │   fabric:                                           │
2025-08-30 18:43:39 - pico-train - INFO - │     accelerator: cuda                               │
2025-08-30 18:43:39 - pico-train - INFO - │     num_devices: 12025-08-30 18:43:39 - pico-train - INFO - │     num_nodes: 12025-08-30 18:43:39 - pico-train - INFO - │     precision: bf16-mixed                           │
2025-08-30 18:43:39 - pico-train - INFO - │   max_steps: 1000002025-08-30 18:43:39 - pico-train - INFO - │   optimization:                                     │
2025-08-30 18:43:39 - pico-train - INFO - │     gradient_accumulation_steps: 12025-08-30 18:43:39 - pico-train - INFO - │     lr: 0.00022025-08-30 18:43:39 - pico-train - INFO - │     lr_scheduler: cosine                            │
2025-08-30 18:43:39 - pico-train - INFO - │     lr_warmup_steps: 20002025-08-30 18:43:39 - pico-train - INFO - │     optimizer: adamw                                │
2025-08-30 18:43:39 - pico-train - INFO - │                                                     │
2025-08-30 18:43:39 - pico-train - INFO - ╰─────────────────────────────────────────────────────╯
2025-08-30 18:43:39 - pico-train - INFO - ==================================================
2025-08-30 18:43:39 - pico-train - INFO - ⛭ Runtime Summary:
2025-08-30 18:43:39 - pico-train - INFO - ==================================================
2025-08-30 18:43:39 - pico-train - INFO - Starting from step: 78000
2025-08-30 18:43:39 - pico-train - INFO - Model Setup:
2025-08-30 18:43:39 - pico-train - INFO - └─ Total Parameters: 11,282,784
2025-08-30 18:43:39 - pico-train - INFO - └─ Trainable Parameters: 11,282,784
2025-08-30 18:43:39 - pico-train - INFO - Distributed Setup:
2025-08-30 18:43:39 - pico-train - INFO - └─ Number of Devices: 1
2025-08-30 18:43:39 - pico-train - INFO - └─ Device Type: NVIDIA H100 80GB HBM3
2025-08-30 18:43:39 - pico-train - INFO - └─ Available Memory: 85.03 GB
2025-08-30 18:43:39 - pico-train - INFO - Software Setup:
2025-08-30 18:43:39 - pico-train - INFO - └─ Python Version: 3.12.3
2025-08-30 18:43:39 - pico-train - INFO - └─ PyTorch Version: 2.8.0+cu128
2025-08-30 18:43:39 - pico-train - INFO - └─ CUDA Version: 12.8
2025-08-30 18:43:39 - pico-train - INFO - └─ Operating System: Linux 6.8.0-71-generic
2025-08-30 18:43:39 - pico-train - INFO - Batch Size Configuration:
2025-08-30 18:43:39 - pico-train - INFO - └─ Global Batch Size: 16
2025-08-30 18:43:39 - pico-train - INFO - └─ Per Device Batch Size: 16
2025-08-30 18:43:39 - pico-train - INFO - └─ Gradient Accumulation Steps: 1
2025-08-30 18:43:39 - pico-train - INFO - ==================================================
2025-08-30 18:43:40 - pico-train - INFO - Step 78000 -- 🔄 Training Metrics
2025-08-30 18:43:40 - pico-train - INFO - ├── Loss: 4.5461
2025-08-30 18:43:40 - pico-train - INFO - ├── Learning Rate: 2.39e-05
2025-08-30 18:43:40 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 18:43:40 - pico-train - INFO - Step 78000 -- 📈 Saving Learning Dynamics
2025-08-30 18:44:34 - pico-train - INFO - Step 78100 -- 🔄 Training Metrics
2025-08-30 18:44:34 - pico-train - INFO - ├── Loss: 4.7732
2025-08-30 18:44:34 - pico-train - INFO - ├── Learning Rate: 2.36e-05
2025-08-30 18:44:34 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 18:45:26 - pico-train - INFO - Step 78200 -- 🔄 Training Metrics
2025-08-30 18:45:26 - pico-train - INFO - ├── Loss: 4.7809
2025-08-30 18:45:26 - pico-train - INFO - ├── Learning Rate: 2.34e-05
2025-08-30 18:45:26 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 18:46:18 - pico-train - INFO - Step 78300 -- 🔄 Training Metrics
2025-08-30 18:46:18 - pico-train - INFO - ├── Loss: 4.7659
2025-08-30 18:46:18 - pico-train - INFO - ├── Learning Rate: 2.32e-05
2025-08-30 18:46:18 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 18:47:16 - pico-train - INFO - Step 78400 -- 🔄 Training Metrics
2025-08-30 18:47:16 - pico-train - INFO - ├── Loss: 4.7466
2025-08-30 18:47:16 - pico-train - INFO - ├── Learning Rate: 2.30e-05
2025-08-30 18:47:16 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 18:48:27 - pico-train - INFO - Step 78500 -- 🔄 Training Metrics
2025-08-30 18:48:27 - pico-train - INFO - ├── Loss: 4.8076
2025-08-30 18:48:27 - pico-train - INFO - ├── Learning Rate: 2.28e-05
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2025-08-30 19:04:30 - pico-train - INFO - Step 80000 -- 📊 Evaluation Results
2025-08-30 19:04:30 - pico-train - INFO - └── paloma: inf
2025-08-30 19:04:31 - pico-train - INFO - Step 80000 -- 🔄 Training Metrics
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2025-08-30 19:23:45 - pico-train - INFO - Step 82000 -- 📊 Evaluation Results
2025-08-30 19:23:45 - pico-train - INFO - └── paloma: inf
2025-08-30 19:23:46 - pico-train - INFO - Step 82000 -- 🔄 Training Metrics
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2025-08-30 19:41:15 - pico-train - INFO - Step 84000 -- 💾 Saving Checkpoint
2025-08-30 19:43:17 - pico-train - INFO - Step 84000 -- 📊 Evaluation Results
2025-08-30 19:43:17 - pico-train - INFO - └── paloma: inf
2025-08-30 19:43:18 - pico-train - INFO - Step 84000 -- 🔄 Training Metrics
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2025-08-30 19:52:55 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 19:53:48 - pico-train - INFO - ├── Loss: 4.7700
2025-08-30 19:53:48 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 19:54:41 - pico-train - INFO - ├── Loss: 4.7800
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2025-08-30 19:55:34 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 19:56:27 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 19:57:21 - pico-train - INFO - ├── Loss: 4.7835
2025-08-30 19:57:21 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 19:58:14 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 19:59:06 - pico-train - INFO - ├── Loss: 4.7900
2025-08-30 19:59:06 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 19:59:58 - pico-train - INFO - ├── Loss: 4.7797
2025-08-30 19:59:58 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 20:00:50 - pico-train - INFO - Step 86000 -- 💾 Saving Checkpoint
2025-08-30 20:02:55 - pico-train - INFO - Step 86000 -- 📊 Evaluation Results
2025-08-30 20:02:55 - pico-train - INFO - └── paloma: inf
2025-08-30 20:02:56 - pico-train - INFO - Step 86000 -- 🔄 Training Metrics
2025-08-30 20:02:56 - pico-train - INFO - ├── Loss: 4.7650
2025-08-30 20:02:56 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 20:03:51 - pico-train - INFO - Step 86100 -- 🔄 Training Metrics
2025-08-30 20:03:51 - pico-train - INFO - ├── Loss: 4.7682
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2025-08-30 20:08:16 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 20:10:56 - pico-train - INFO - ├── Loss: 4.7668
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2025-08-30 20:11:49 - pico-train - INFO - ├── Loss: 4.7481
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2025-08-30 20:12:41 - pico-train - INFO - Step 87100 -- 🔄 Training Metrics
2025-08-30 20:12:41 - pico-train - INFO - ├── Loss: 4.7536
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2025-08-30 20:13:32 - pico-train - INFO - ├── Loss: 4.7748
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2025-08-30 20:14:26 - pico-train - INFO - ├── Loss: 4.7597
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2025-08-30 20:15:19 - pico-train - INFO - ├── Loss: 4.7862
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2025-08-30 20:16:12 - pico-train - INFO - ├── Loss: 4.7682
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2025-08-30 20:17:05 - pico-train - INFO - ├── Loss: 4.8045
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2025-08-30 20:17:58 - pico-train - INFO - ├── Loss: 4.7911
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2025-08-30 20:18:51 - pico-train - INFO - ├── Loss: 4.7530
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2025-08-30 20:19:45 - pico-train - INFO - ├── Loss: 4.7618
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2025-08-30 20:20:37 - pico-train - INFO - Step 88000 -- 💾 Saving Checkpoint
2025-08-30 20:22:42 - pico-train - INFO - Step 88000 -- 📊 Evaluation Results
2025-08-30 20:22:42 - pico-train - INFO - └── paloma: inf
2025-08-30 20:22:43 - pico-train - INFO - Step 88000 -- 🔄 Training Metrics
2025-08-30 20:22:43 - pico-train - INFO - ├── Loss: 4.7796
2025-08-30 20:22:43 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 20:22:43 - pico-train - INFO - Step 88000 -- 📈 Saving Learning Dynamics
2025-08-30 20:23:38 - pico-train - INFO - Step 88100 -- 🔄 Training Metrics
2025-08-30 20:23:38 - pico-train - INFO - ├── Loss: 4.7432
2025-08-30 20:23:38 - pico-train - INFO - ├── Learning Rate: 2.00e-05
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2025-08-30 20:24:31 - pico-train - INFO - ├── Loss: 4.7725
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2025-08-30 20:25:24 - pico-train - INFO - ├── Loss: 4.7749
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2025-08-30 20:26:17 - pico-train - INFO - Step 88400 -- 🔄 Training Metrics
2025-08-30 20:26:17 - pico-train - INFO - ├── Loss: 4.7883
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2025-08-30 20:27:10 - pico-train - INFO - Step 88500 -- 🔄 Training Metrics
2025-08-30 20:27:10 - pico-train - INFO - ├── Loss: 4.7871
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2025-08-30 20:28:03 - pico-train - INFO - ├── Loss: 4.7894
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2025-08-30 20:28:56 - pico-train - INFO - ├── Loss: 4.7812
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2025-08-30 20:29:49 - pico-train - INFO - Step 88800 -- 🔄 Training Metrics
2025-08-30 20:29:49 - pico-train - INFO - ├── Loss: 4.7371
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2025-08-30 20:30:43 - pico-train - INFO - ├── Loss: 4.7666
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2025-08-30 20:31:36 - pico-train - INFO - Step 89000 -- 🔄 Training Metrics
2025-08-30 20:31:36 - pico-train - INFO - ├── Loss: 4.7623
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2025-08-30 20:32:29 - pico-train - INFO - Step 89100 -- 🔄 Training Metrics
2025-08-30 20:32:29 - pico-train - INFO - ├── Loss: 4.7911
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2025-08-30 20:33:22 - pico-train - INFO - ├── Loss: 4.7823
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2025-08-30 20:34:15 - pico-train - INFO - Step 89300 -- 🔄 Training Metrics
2025-08-30 20:34:15 - pico-train - INFO - ├── Loss: 4.7830
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2025-08-30 20:35:08 - pico-train - INFO - ├── Loss: 4.7724
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2025-08-30 20:36:01 - pico-train - INFO - ├── Loss: 4.7654
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2025-08-30 20:36:54 - pico-train - INFO - ├── Loss: 4.7613
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2025-08-30 20:37:47 - pico-train - INFO - ├── Loss: 4.7544
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2025-08-30 20:38:41 - pico-train - INFO - ├── Loss: 4.7889
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2025-08-30 20:39:34 - pico-train - INFO - ├── Loss: 4.7928
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2025-08-30 20:40:26 - pico-train - INFO - Step 90000 -- 💾 Saving Checkpoint
2025-08-30 20:42:31 - pico-train - INFO - Step 90000 -- 📊 Evaluation Results
2025-08-30 20:42:31 - pico-train - INFO - └── paloma: inf
2025-08-30 20:42:31 - pico-train - INFO - Step 90000 -- 🔄 Training Metrics
2025-08-30 20:42:31 - pico-train - INFO - ├── Loss: 4.7777
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2025-08-30 20:42:31 - pico-train - INFO - Step 90000 -- 📈 Saving Learning Dynamics
2025-08-30 20:43:26 - pico-train - INFO - Step 90100 -- 🔄 Training Metrics
2025-08-30 20:43:26 - pico-train - INFO - ├── Loss: 4.7721
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2025-08-30 20:44:18 - pico-train - INFO - Step 90200 -- 🔄 Training Metrics
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2025-08-30 20:45:10 - pico-train - INFO - ├── Loss: 4.7529
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2025-08-30 20:46:04 - pico-train - INFO - ├── Loss: 4.7656
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2025-08-30 20:46:56 - pico-train - INFO - ├── Loss: 4.7484
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2025-08-30 20:47:50 - pico-train - INFO - ├── Loss: 4.7811
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2025-08-30 20:48:43 - pico-train - INFO - ├── Loss: 4.7523
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2025-08-30 20:49:36 - pico-train - INFO - ├── Loss: 4.7822
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2025-08-30 20:50:29 - pico-train - INFO - ├── Loss: 4.7780
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2025-08-30 21:02:18 - pico-train - INFO - Step 92000 -- 📊 Evaluation Results
2025-08-30 21:02:18 - pico-train - INFO - └── paloma: inf
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2025-08-30 21:21:41 - pico-train - INFO - Step 94000 -- 📊 Evaluation Results
2025-08-30 21:21:41 - pico-train - INFO - └── paloma: inf
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2025-08-30 21:41:02 - pico-train - INFO - Step 96000 -- 📊 Evaluation Results
2025-08-30 21:41:02 - pico-train - INFO - └── paloma: inf
2025-08-30 21:41:03 - pico-train - INFO - Step 96000 -- 🔄 Training Metrics
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2025-08-30 21:50:49 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 21:51:43 - pico-train - INFO - Step 97200 -- 🔄 Training Metrics
2025-08-30 21:51:43 - pico-train - INFO - ├── Loss: 4.7731
2025-08-30 21:51:43 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 21:51:43 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 21:52:34 - pico-train - INFO - Step 97300 -- 🔄 Training Metrics
2025-08-30 21:52:34 - pico-train - INFO - ├── Loss: 4.7823
2025-08-30 21:52:34 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 21:52:34 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 21:53:27 - pico-train - INFO - Step 97400 -- 🔄 Training Metrics
2025-08-30 21:53:27 - pico-train - INFO - ├── Loss: 4.7782
2025-08-30 21:53:27 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 21:53:27 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 21:54:20 - pico-train - INFO - Step 97500 -- 🔄 Training Metrics
2025-08-30 21:54:20 - pico-train - INFO - ├── Loss: 4.7935
2025-08-30 21:54:20 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 21:54:20 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 21:55:13 - pico-train - INFO - Step 97600 -- 🔄 Training Metrics
2025-08-30 21:55:13 - pico-train - INFO - ├── Loss: 4.7908
2025-08-30 21:55:13 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 21:55:13 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 21:56:07 - pico-train - INFO - Step 97700 -- 🔄 Training Metrics
2025-08-30 21:56:07 - pico-train - INFO - ├── Loss: 4.7824
2025-08-30 21:56:07 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 21:56:07 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 21:56:59 - pico-train - INFO - Step 97800 -- 🔄 Training Metrics
2025-08-30 21:56:59 - pico-train - INFO - ├── Loss: 4.7913
2025-08-30 21:56:59 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 21:56:59 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 21:57:53 - pico-train - INFO - Step 97900 -- 🔄 Training Metrics
2025-08-30 21:57:53 - pico-train - INFO - ├── Loss: 4.7547
2025-08-30 21:57:53 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 21:57:53 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 21:58:45 - pico-train - INFO - Step 98000 -- 💾 Saving Checkpoint
2025-08-30 22:00:46 - pico-train - INFO - Step 98000 -- 📊 Evaluation Results
2025-08-30 22:00:46 - pico-train - INFO - └── paloma: inf
2025-08-30 22:00:46 - pico-train - INFO - Step 98000 -- 🔄 Training Metrics
2025-08-30 22:00:46 - pico-train - INFO - ├── Loss: 4.7784
2025-08-30 22:00:46 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:00:46 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:00:46 - pico-train - INFO - Step 98000 -- 📈 Saving Learning Dynamics
2025-08-30 22:01:41 - pico-train - INFO - Step 98100 -- 🔄 Training Metrics
2025-08-30 22:01:41 - pico-train - INFO - ├── Loss: 4.7555
2025-08-30 22:01:41 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:01:41 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:02:33 - pico-train - INFO - Step 98200 -- 🔄 Training Metrics
2025-08-30 22:02:33 - pico-train - INFO - ├── Loss: 4.7774
2025-08-30 22:02:33 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:02:33 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:03:25 - pico-train - INFO - Step 98300 -- 🔄 Training Metrics
2025-08-30 22:03:25 - pico-train - INFO - ├── Loss: 4.7961
2025-08-30 22:03:25 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:03:25 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:04:17 - pico-train - INFO - Step 98400 -- 🔄 Training Metrics
2025-08-30 22:04:17 - pico-train - INFO - ├── Loss: 4.7770
2025-08-30 22:04:17 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:04:17 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:05:09 - pico-train - INFO - Step 98500 -- 🔄 Training Metrics
2025-08-30 22:05:09 - pico-train - INFO - ├── Loss: 4.7789
2025-08-30 22:05:09 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:05:09 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:06:01 - pico-train - INFO - Step 98600 -- 🔄 Training Metrics
2025-08-30 22:06:01 - pico-train - INFO - ├── Loss: 4.7968
2025-08-30 22:06:01 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:06:01 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:06:53 - pico-train - INFO - Step 98700 -- 🔄 Training Metrics
2025-08-30 22:06:53 - pico-train - INFO - ├── Loss: 4.7691
2025-08-30 22:06:53 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:06:53 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:07:45 - pico-train - INFO - Step 98800 -- 🔄 Training Metrics
2025-08-30 22:07:45 - pico-train - INFO - ├── Loss: 4.7841
2025-08-30 22:07:45 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:07:45 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:08:37 - pico-train - INFO - Step 98900 -- 🔄 Training Metrics
2025-08-30 22:08:37 - pico-train - INFO - ├── Loss: 4.7785
2025-08-30 22:08:37 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:08:37 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:09:28 - pico-train - INFO - Step 99000 -- 🔄 Training Metrics
2025-08-30 22:09:28 - pico-train - INFO - ├── Loss: 4.7770
2025-08-30 22:09:28 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:09:28 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:10:20 - pico-train - INFO - Step 99100 -- 🔄 Training Metrics
2025-08-30 22:10:20 - pico-train - INFO - ├── Loss: 4.7774
2025-08-30 22:10:20 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:10:20 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:11:12 - pico-train - INFO - Step 99200 -- 🔄 Training Metrics
2025-08-30 22:11:12 - pico-train - INFO - ├── Loss: 4.7946
2025-08-30 22:11:12 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:11:12 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:12:04 - pico-train - INFO - Step 99300 -- 🔄 Training Metrics
2025-08-30 22:12:04 - pico-train - INFO - ├── Loss: 4.7804
2025-08-30 22:12:04 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:12:04 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:12:56 - pico-train - INFO - Step 99400 -- 🔄 Training Metrics
2025-08-30 22:12:56 - pico-train - INFO - ├── Loss: 4.7579
2025-08-30 22:12:56 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:12:56 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:13:48 - pico-train - INFO - Step 99500 -- 🔄 Training Metrics
2025-08-30 22:13:48 - pico-train - INFO - ├── Loss: 4.7916
2025-08-30 22:13:48 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:13:48 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:14:40 - pico-train - INFO - Step 99600 -- 🔄 Training Metrics
2025-08-30 22:14:40 - pico-train - INFO - ├── Loss: 4.7512
2025-08-30 22:14:40 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:14:40 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:15:32 - pico-train - INFO - Step 99700 -- 🔄 Training Metrics
2025-08-30 22:15:32 - pico-train - INFO - ├── Loss: 4.7774
2025-08-30 22:15:32 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:15:32 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:16:24 - pico-train - INFO - Step 99800 -- 🔄 Training Metrics
2025-08-30 22:16:24 - pico-train - INFO - ├── Loss: 4.7938
2025-08-30 22:16:24 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:16:24 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:17:16 - pico-train - INFO - Step 99900 -- 🔄 Training Metrics
2025-08-30 22:17:16 - pico-train - INFO - ├── Loss: 4.7923
2025-08-30 22:17:16 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 22:17:16 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 22:18:07 - pico-train - INFO - Step 100000 -- 💾 Saving Checkpoint
2025-08-30 22:19:57 - pico-train - INFO - Step 100000 -- 📊 Evaluation Results
2025-08-30 22:19:57 - pico-train - INFO - └── paloma: inf
2025-08-30 22:19:57 - pico-train - INFO - 🎉 Training complete! Final step: 100000