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2025-08-30 05:22:55 - pico-train - INFO - Step 0 -- 📊 Evaluation Results
2025-08-30 05:22:55 - pico-train - INFO - └── paloma: inf
2025-08-30 05:22:56 - pico-train - INFO - ==================================================
2025-08-30 05:22:56 - pico-train - INFO - ✨ Training Configuration
2025-08-30 05:22:56 - pico-train - INFO - ==================================================
2025-08-30 05:22:56 - pico-train - INFO - ╭─────────────────────────────────────────────────────╮
2025-08-30 05:22:56 - pico-train - INFO - │ checkpointing:                                      │
2025-08-30 05:22:56 - pico-train - INFO - │   checkpoints_dir: checkpoints                      │
2025-08-30 05:22:56 - pico-train - INFO - │   evaluation:                                       │
2025-08-30 05:22:56 - pico-train - INFO - │     eval_results_dir: eval_results                  │
2025-08-30 05:22:56 - pico-train - INFO - │   fabric_checkpoint_dir: fabric_state               │
2025-08-30 05:22:56 - pico-train - INFO - │   fabric_checkpoint_filename: checkpoint.pt         │
2025-08-30 05:22:56 - pico-train - INFO - │   hf_checkpoint:                                    │
2025-08-30 05:22:56 - pico-train - INFO - │     collection_slug: null                           │
2025-08-30 05:22:56 - pico-train - INFO - │     repo_id: ThomasTheMaker/pico-decoder-tiny       │
2025-08-30 05:22:56 - pico-train - INFO - │   learning_dynamics:                                │
2025-08-30 05:22:56 - pico-train - INFO - │     batch_size: 1                                   │
2025-08-30 05:22:56 - pico-train - INFO - │     eval_data: null                                 │
2025-08-30 05:22:56 - pico-train - INFO - │     layer_suffixes:                                 │
2025-08-30 05:22:56 - pico-train - INFO - │     - attention.v_proj                              │
2025-08-30 05:22:56 - pico-train - INFO - │     - attention.o_proj                              │
2025-08-30 05:22:56 - pico-train - INFO - │     - swiglu.w_2                                    │
2025-08-30 05:22:56 - pico-train - INFO - │     sequence_idx: -1                                │
2025-08-30 05:22:56 - pico-train - INFO - │   learning_dynamics_dir: learning_dynamics          │
2025-08-30 05:22:56 - pico-train - INFO - │   logs_dir: logs                                    │
2025-08-30 05:22:56 - pico-train - INFO - │   run_name: pico-decoder-tiny-dolma10M-v1           │
2025-08-30 05:22:56 - pico-train - INFO - │   runs_dir: runs                                    │
2025-08-30 05:22:56 - pico-train - INFO - │   save_every_n_steps: 2000                          │
2025-08-30 05:22:56 - pico-train - INFO - │   save_to_hf: true                                  │
2025-08-30 05:22:56 - pico-train - INFO - │   training:                                         │
2025-08-30 05:22:56 - pico-train - INFO - │     auto_resume: true                               │
2025-08-30 05:22:56 - pico-train - INFO - │ data:                                               │
2025-08-30 05:22:56 - pico-train - INFO - │   dataloader:                                       │
2025-08-30 05:22:56 - pico-train - INFO - │     batch_size: 16                                  │
2025-08-30 05:22:56 - pico-train - INFO - │   dataset:                                          │
2025-08-30 05:22:56 - pico-train - INFO - │     name: ThomasTheMaker/pretokenized-dolma-10M     │
2025-08-30 05:22:56 - pico-train - INFO - │   tokenizer:                                        │
2025-08-30 05:22:56 - pico-train - INFO - │     name: allenai/OLMo-7B-0724-hf                   │
2025-08-30 05:22:56 - pico-train - INFO - │     vocab_size: 50304                               │
2025-08-30 05:22:56 - pico-train - INFO - │ evaluation:                                         │
2025-08-30 05:22:56 - pico-train - INFO - │   metrics:                                          │
2025-08-30 05:22:56 - pico-train - INFO - │   - paloma                                          │
2025-08-30 05:22:56 - pico-train - INFO - │   paloma:                                           │
2025-08-30 05:22:56 - pico-train - INFO - │     batch_size: 1                                   │
2025-08-30 05:22:56 - pico-train - INFO - │     dataset_name: pico-lm/pretokenized-paloma-tinsy │
2025-08-30 05:22:56 - pico-train - INFO - │     dataset_split: val                              │
2025-08-30 05:22:56 - pico-train - INFO - │     max_length: 2048                                │
2025-08-30 05:22:56 - pico-train - INFO - │ model:                                              │
2025-08-30 05:22:56 - pico-train - INFO - │   activation_hidden_dim: 384                        │
2025-08-30 05:22:56 - pico-train - INFO - │   attention_n_heads: 12                             │
2025-08-30 05:22:56 - pico-train - INFO - │   attention_n_kv_heads: 4                           │
2025-08-30 05:22:56 - pico-train - INFO - │   batch_size: 1024                                  │
2025-08-30 05:22:56 - pico-train - INFO - │   d_model: 96                                       │
2025-08-30 05:22:56 - pico-train - INFO - │   max_seq_len: 2048                                 │
2025-08-30 05:22:56 - pico-train - INFO - │   model_type: pico_decoder                          │
2025-08-30 05:22:56 - pico-train - INFO - │   n_layers: 12                                      │
2025-08-30 05:22:56 - pico-train - INFO - │   norm_eps: 1.0e-06                                 │
2025-08-30 05:22:56 - pico-train - INFO - │   position_emb_theta: 10000.0                       │
2025-08-30 05:22:56 - pico-train - INFO - │   vocab_size: 50304                                 │
2025-08-30 05:22:56 - pico-train - INFO - │ monitoring:                                         │
2025-08-30 05:22:56 - pico-train - INFO - │   logging:                                          │
2025-08-30 05:22:56 - pico-train - INFO - │     log_every_n_steps: 100                          │
2025-08-30 05:22:56 - pico-train - INFO - │     log_level: INFO                                 │
2025-08-30 05:22:56 - pico-train - INFO - │   save_to_wandb: false                              │
2025-08-30 05:22:56 - pico-train - INFO - │   wandb:                                            │
2025-08-30 05:22:56 - pico-train - INFO - │     entity: boymyc                                  │
2025-08-30 05:22:56 - pico-train - INFO - │     project: pico-decoder-tiny                      │
2025-08-30 05:22:56 - pico-train - INFO - │ training:                                           │
2025-08-30 05:22:56 - pico-train - INFO - │   fabric:                                           │
2025-08-30 05:22:56 - pico-train - INFO - │     accelerator: cuda                               │
2025-08-30 05:22:56 - pico-train - INFO - │     num_devices: 1                                  │
2025-08-30 05:22:56 - pico-train - INFO - │     num_nodes: 1                                    │
2025-08-30 05:22:56 - pico-train - INFO - │     precision: bf16-mixed                           │
2025-08-30 05:22:56 - pico-train - INFO - │   max_steps: 100000                                 │
2025-08-30 05:22:56 - pico-train - INFO - │   optimization:                                     │
2025-08-30 05:22:56 - pico-train - INFO - │     gradient_accumulation_steps: 1                  │
2025-08-30 05:22:56 - pico-train - INFO - │     lr: 0.0002                                      │
2025-08-30 05:22:56 - pico-train - INFO - │     lr_scheduler: cosine                            │
2025-08-30 05:22:56 - pico-train - INFO - │     lr_warmup_steps: 2000                           │
2025-08-30 05:22:56 - pico-train - INFO - │     optimizer: adamw                                │
2025-08-30 05:22:56 - pico-train - INFO - │                                                     │
2025-08-30 05:22:56 - pico-train - INFO - ╰─────────────────────────────────────────────────────╯
2025-08-30 05:22:56 - pico-train - INFO - ==================================================
2025-08-30 05:22:56 - pico-train - INFO - ⛭ Runtime Summary:
2025-08-30 05:22:56 - pico-train - INFO - ==================================================
2025-08-30 05:22:56 - pico-train - INFO - Starting from step: 0
2025-08-30 05:22:56 - pico-train - INFO - Model Setup:
2025-08-30 05:22:56 - pico-train - INFO - └─ Total Parameters: 11,282,784
2025-08-30 05:22:56 - pico-train - INFO - └─ Trainable Parameters: 11,282,784
2025-08-30 05:22:56 - pico-train - INFO - Distributed Setup:
2025-08-30 05:22:56 - pico-train - INFO - └─ Number of Devices: 1
2025-08-30 05:22:56 - pico-train - INFO - └─ Device Type: NVIDIA H100 80GB HBM3
2025-08-30 05:22:56 - pico-train - INFO - └─ Available Memory: 85.03 GB
2025-08-30 05:22:56 - pico-train - INFO - Software Setup:
2025-08-30 05:22:56 - pico-train - INFO - └─ Python Version: 3.12.3
2025-08-30 05:22:56 - pico-train - INFO - └─ PyTorch Version: 2.8.0+cu128
2025-08-30 05:22:56 - pico-train - INFO - └─ CUDA Version: 12.8
2025-08-30 05:22:56 - pico-train - INFO - └─ Operating System: Linux 6.8.0-71-generic
2025-08-30 05:22:56 - pico-train - INFO - Batch Size Configuration:
2025-08-30 05:22:56 - pico-train - INFO - └─ Global Batch Size: 16
2025-08-30 05:22:56 - pico-train - INFO - └─ Per Device Batch Size: 16
2025-08-30 05:22:56 - pico-train - INFO - └─ Gradient Accumulation Steps: 1
2025-08-30 05:22:56 - pico-train - INFO - ==================================================
2025-08-30 05:22:57 - pico-train - INFO - Step 0 -- 🔄 Training Metrics
2025-08-30 05:22:57 - pico-train - INFO - ├── Loss: 10.9884
2025-08-30 05:22:57 - pico-train - INFO - ├── Learning Rate: 0.00e+00
2025-08-30 05:22:57 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:22:57 - pico-train - INFO - Step 0 -- 📈 Saving Learning Dynamics
2025-08-30 05:23:55 - pico-train - INFO - Step 100 -- 🔄 Training Metrics
2025-08-30 05:23:55 - pico-train - INFO - ├── Loss: 10.9746
2025-08-30 05:23:55 - pico-train - INFO - ├── Learning Rate: 1.00e-05
2025-08-30 05:23:55 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:24:49 - pico-train - INFO - Step 200 -- 🔄 Training Metrics
2025-08-30 05:24:49 - pico-train - INFO - ├── Loss: 10.7653
2025-08-30 05:24:49 - pico-train - INFO - ├── Learning Rate: 2.00e-05
2025-08-30 05:24:49 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:25:44 - pico-train - INFO - Step 300 -- 🔄 Training Metrics
2025-08-30 05:25:44 - pico-train - INFO - ├── Loss: 10.2902
2025-08-30 05:25:44 - pico-train - INFO - ├── Learning Rate: 3.00e-05
2025-08-30 05:25:44 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:26:38 - pico-train - INFO - Step 400 -- 🔄 Training Metrics
2025-08-30 05:26:38 - pico-train - INFO - ├── Loss: 9.8373
2025-08-30 05:26:38 - pico-train - INFO - ├── Learning Rate: 4.00e-05
2025-08-30 05:26:38 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:27:31 - pico-train - INFO - Step 500 -- 🔄 Training Metrics
2025-08-30 05:27:31 - pico-train - INFO - ├── Loss: 9.3629
2025-08-30 05:27:31 - pico-train - INFO - ├── Learning Rate: 5.00e-05
2025-08-30 05:27:31 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:28:24 - pico-train - INFO - Step 600 -- 🔄 Training Metrics
2025-08-30 05:28:24 - pico-train - INFO - ├── Loss: 8.8887
2025-08-30 05:28:24 - pico-train - INFO - ├── Learning Rate: 6.00e-05
2025-08-30 05:28:24 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:29:19 - pico-train - INFO - Step 700 -- 🔄 Training Metrics
2025-08-30 05:29:19 - pico-train - INFO - ├── Loss: 8.4408
2025-08-30 05:29:19 - pico-train - INFO - ├── Learning Rate: 7.00e-05
2025-08-30 05:29:19 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:30:13 - pico-train - INFO - Step 800 -- 🔄 Training Metrics
2025-08-30 05:30:13 - pico-train - INFO - ├── Loss: 8.0906
2025-08-30 05:30:13 - pico-train - INFO - ├── Learning Rate: 8.00e-05
2025-08-30 05:30:13 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:31:07 - pico-train - INFO - Step 900 -- 🔄 Training Metrics
2025-08-30 05:31:07 - pico-train - INFO - ├── Loss: 7.8459
2025-08-30 05:31:07 - pico-train - INFO - ├── Learning Rate: 9.00e-05
2025-08-30 05:31:07 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:32:02 - pico-train - INFO - Step 1000 -- 🔄 Training Metrics
2025-08-30 05:32:02 - pico-train - INFO - ├── Loss: 7.6972
2025-08-30 05:32:02 - pico-train - INFO - ├── Learning Rate: 1.00e-04
2025-08-30 05:32:02 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:32:55 - pico-train - INFO - Step 1100 -- 🔄 Training Metrics
2025-08-30 05:32:55 - pico-train - INFO - ├── Loss: 7.5570
2025-08-30 05:32:55 - pico-train - INFO - ├── Learning Rate: 1.10e-04
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2025-08-30 05:33:48 - pico-train - INFO - Step 1200 -- 🔄 Training Metrics
2025-08-30 05:33:48 - pico-train - INFO - ├── Loss: 7.4823
2025-08-30 05:33:48 - pico-train - INFO - ├── Learning Rate: 1.20e-04
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2025-08-30 05:34:42 - pico-train - INFO - Step 1300 -- 🔄 Training Metrics
2025-08-30 05:34:42 - pico-train - INFO - ├── Loss: 7.3624
2025-08-30 05:34:42 - pico-train - INFO - ├── Learning Rate: 1.30e-04
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2025-08-30 05:35:33 - pico-train - INFO - Step 1400 -- 🔄 Training Metrics
2025-08-30 05:35:33 - pico-train - INFO - ├── Loss: 7.2538
2025-08-30 05:35:33 - pico-train - INFO - ├── Learning Rate: 1.40e-04
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2025-08-30 05:36:26 - pico-train - INFO - Step 1500 -- 🔄 Training Metrics
2025-08-30 05:36:26 - pico-train - INFO - ├── Loss: 7.1582
2025-08-30 05:36:26 - pico-train - INFO - ├── Learning Rate: 1.50e-04
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2025-08-30 05:37:18 - pico-train - INFO - Step 1600 -- 🔄 Training Metrics
2025-08-30 05:37:18 - pico-train - INFO - ├── Loss: 7.0462
2025-08-30 05:37:18 - pico-train - INFO - ├── Learning Rate: 1.60e-04
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2025-08-30 05:38:11 - pico-train - INFO - Step 1700 -- 🔄 Training Metrics
2025-08-30 05:38:11 - pico-train - INFO - ├── Loss: 6.9729
2025-08-30 05:38:11 - pico-train - INFO - ├── Learning Rate: 1.70e-04
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2025-08-30 05:39:04 - pico-train - INFO - Step 1800 -- 🔄 Training Metrics
2025-08-30 05:39:04 - pico-train - INFO - ├── Loss: 6.8825
2025-08-30 05:39:04 - pico-train - INFO - ├── Learning Rate: 1.80e-04
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2025-08-30 05:39:56 - pico-train - INFO - Step 1900 -- 🔄 Training Metrics
2025-08-30 05:39:56 - pico-train - INFO - ├── Loss: 6.8003
2025-08-30 05:39:56 - pico-train - INFO - ├── Learning Rate: 1.90e-04
2025-08-30 05:39:56 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:40:48 - pico-train - INFO - Step 2000 -- 💾 Saving Checkpoint
2025-08-30 05:42:56 - pico-train - INFO - Step 2000 -- 📊 Evaluation Results
2025-08-30 05:42:56 - pico-train - INFO - └── paloma: 9.921214391079047e+20
2025-08-30 05:42:57 - pico-train - INFO - Step 2000 -- 🔄 Training Metrics
2025-08-30 05:42:57 - pico-train - INFO - ├── Loss: 6.7360
2025-08-30 05:42:57 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:42:57 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:42:57 - pico-train - INFO - Step 2000 -- 📈 Saving Learning Dynamics
2025-08-30 05:43:54 - pico-train - INFO - Step 2100 -- 🔄 Training Metrics
2025-08-30 05:43:54 - pico-train - INFO - ├── Loss: 6.6658
2025-08-30 05:43:54 - pico-train - INFO - ├── Learning Rate: 2.00e-04
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2025-08-30 05:44:47 - pico-train - INFO - Step 2200 -- 🔄 Training Metrics
2025-08-30 05:44:47 - pico-train - INFO - ├── Loss: 6.6040
2025-08-30 05:44:47 - pico-train - INFO - ├── Learning Rate: 2.00e-04
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2025-08-30 05:45:39 - pico-train - INFO - Step 2300 -- 🔄 Training Metrics
2025-08-30 05:45:39 - pico-train - INFO - ├── Loss: 6.5360
2025-08-30 05:45:39 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:45:39 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:46:31 - pico-train - INFO - Step 2400 -- 🔄 Training Metrics
2025-08-30 05:46:31 - pico-train - INFO - ├── Loss: 6.5011
2025-08-30 05:46:31 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:46:31 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:47:24 - pico-train - INFO - Step 2500 -- 🔄 Training Metrics
2025-08-30 05:47:24 - pico-train - INFO - ├── Loss: 6.4541
2025-08-30 05:47:24 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:47:24 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:48:17 - pico-train - INFO - Step 2600 -- 🔄 Training Metrics
2025-08-30 05:48:17 - pico-train - INFO - ├── Loss: 6.4299
2025-08-30 05:48:17 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:48:17 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:49:10 - pico-train - INFO - Step 2700 -- 🔄 Training Metrics
2025-08-30 05:49:10 - pico-train - INFO - ├── Loss: 6.3677
2025-08-30 05:49:10 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:49:10 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:50:02 - pico-train - INFO - Step 2800 -- 🔄 Training Metrics
2025-08-30 05:50:02 - pico-train - INFO - ├── Loss: 6.3537
2025-08-30 05:50:02 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:50:02 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:50:54 - pico-train - INFO - Step 2900 -- 🔄 Training Metrics
2025-08-30 05:50:54 - pico-train - INFO - ├── Loss: 6.3225
2025-08-30 05:50:54 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:50:54 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:51:47 - pico-train - INFO - Step 3000 -- 🔄 Training Metrics
2025-08-30 05:51:47 - pico-train - INFO - ├── Loss: 6.2806
2025-08-30 05:51:47 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:51:47 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:52:39 - pico-train - INFO - Step 3100 -- 🔄 Training Metrics
2025-08-30 05:52:39 - pico-train - INFO - ├── Loss: 6.2626
2025-08-30 05:52:39 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:52:39 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:53:32 - pico-train - INFO - Step 3200 -- 🔄 Training Metrics
2025-08-30 05:53:32 - pico-train - INFO - ├── Loss: 6.2206
2025-08-30 05:53:32 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:53:32 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:54:24 - pico-train - INFO - Step 3300 -- 🔄 Training Metrics
2025-08-30 05:54:24 - pico-train - INFO - ├── Loss: 6.2140
2025-08-30 05:54:24 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:54:24 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:55:17 - pico-train - INFO - Step 3400 -- 🔄 Training Metrics
2025-08-30 05:55:17 - pico-train - INFO - ├── Loss: 6.1525
2025-08-30 05:55:17 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:55:17 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:56:11 - pico-train - INFO - Step 3500 -- 🔄 Training Metrics
2025-08-30 05:56:11 - pico-train - INFO - ├── Loss: 6.1104
2025-08-30 05:56:11 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:56:11 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:57:05 - pico-train - INFO - Step 3600 -- 🔄 Training Metrics
2025-08-30 05:57:05 - pico-train - INFO - ├── Loss: 6.1327
2025-08-30 05:57:05 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:57:05 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:57:58 - pico-train - INFO - Step 3700 -- 🔄 Training Metrics
2025-08-30 05:57:58 - pico-train - INFO - ├── Loss: 6.1046
2025-08-30 05:57:58 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:57:58 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:58:51 - pico-train - INFO - Step 3800 -- 🔄 Training Metrics
2025-08-30 05:58:51 - pico-train - INFO - ├── Loss: 6.0910
2025-08-30 05:58:51 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:58:51 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 05:59:44 - pico-train - INFO - Step 3900 -- 🔄 Training Metrics
2025-08-30 05:59:44 - pico-train - INFO - ├── Loss: 6.0369
2025-08-30 05:59:44 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 05:59:44 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:00:36 - pico-train - INFO - Step 4000 -- 💾 Saving Checkpoint
2025-08-30 06:02:50 - pico-train - INFO - Step 4000 -- 📊 Evaluation Results
2025-08-30 06:02:50 - pico-train - INFO - └── paloma: 3.516233710165711e+23
2025-08-30 06:02:51 - pico-train - INFO - Step 4000 -- 🔄 Training Metrics
2025-08-30 06:02:51 - pico-train - INFO - ├── Loss: 6.0450
2025-08-30 06:02:51 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:02:51 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:02:51 - pico-train - INFO - Step 4000 -- 📈 Saving Learning Dynamics
2025-08-30 06:03:48 - pico-train - INFO - Step 4100 -- 🔄 Training Metrics
2025-08-30 06:03:48 - pico-train - INFO - ├── Loss: 6.0120
2025-08-30 06:03:48 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:03:48 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:04:39 - pico-train - INFO - Step 4200 -- 🔄 Training Metrics
2025-08-30 06:04:39 - pico-train - INFO - ├── Loss: 5.9897
2025-08-30 06:04:39 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:04:39 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:05:33 - pico-train - INFO - Step 4300 -- 🔄 Training Metrics
2025-08-30 06:05:33 - pico-train - INFO - ├── Loss: 5.9636
2025-08-30 06:05:33 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:05:33 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:06:25 - pico-train - INFO - Step 4400 -- 🔄 Training Metrics
2025-08-30 06:06:25 - pico-train - INFO - ├── Loss: 5.9759
2025-08-30 06:06:25 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:06:25 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:07:18 - pico-train - INFO - Step 4500 -- 🔄 Training Metrics
2025-08-30 06:07:18 - pico-train - INFO - ├── Loss: 5.9551
2025-08-30 06:07:18 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:07:18 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:08:10 - pico-train - INFO - Step 4600 -- 🔄 Training Metrics
2025-08-30 06:08:10 - pico-train - INFO - ├── Loss: 5.9165
2025-08-30 06:08:10 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:08:10 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:09:02 - pico-train - INFO - Step 4700 -- 🔄 Training Metrics
2025-08-30 06:09:02 - pico-train - INFO - ├── Loss: 5.8939
2025-08-30 06:09:02 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:09:02 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:09:54 - pico-train - INFO - Step 4800 -- 🔄 Training Metrics
2025-08-30 06:09:54 - pico-train - INFO - ├── Loss: 5.8769
2025-08-30 06:09:54 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:09:54 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:10:47 - pico-train - INFO - Step 4900 -- 🔄 Training Metrics
2025-08-30 06:10:47 - pico-train - INFO - ├── Loss: 5.8605
2025-08-30 06:10:47 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:10:47 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:11:39 - pico-train - INFO - Step 5000 -- 🔄 Training Metrics
2025-08-30 06:11:39 - pico-train - INFO - ├── Loss: 5.8727
2025-08-30 06:11:39 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:11:39 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:12:31 - pico-train - INFO - Step 5100 -- 🔄 Training Metrics
2025-08-30 06:12:31 - pico-train - INFO - ├── Loss: 5.8446
2025-08-30 06:12:31 - pico-train - INFO - ├── Learning Rate: 2.00e-04
2025-08-30 06:12:31 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:13:24 - pico-train - INFO - Step 5200 -- 🔄 Training Metrics
2025-08-30 06:13:24 - pico-train - INFO - ├── Loss: 5.8289
2025-08-30 06:13:24 - pico-train - INFO - ├── Learning Rate: 1.99e-04
2025-08-30 06:13:24 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:14:16 - pico-train - INFO - Step 5300 -- 🔄 Training Metrics
2025-08-30 06:14:16 - pico-train - INFO - ├── Loss: 5.8220
2025-08-30 06:14:16 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:15:09 - pico-train - INFO - Step 5400 -- 🔄 Training Metrics
2025-08-30 06:15:09 - pico-train - INFO - ├── Loss: 5.8132
2025-08-30 06:15:09 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:16:01 - pico-train - INFO - Step 5500 -- 🔄 Training Metrics
2025-08-30 06:16:01 - pico-train - INFO - ├── Loss: 5.7878
2025-08-30 06:16:01 - pico-train - INFO - ├── Learning Rate: 1.99e-04
2025-08-30 06:16:01 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:16:53 - pico-train - INFO - Step 5600 -- 🔄 Training Metrics
2025-08-30 06:16:53 - pico-train - INFO - ├── Loss: 5.7639
2025-08-30 06:16:53 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:17:45 - pico-train - INFO - Step 5700 -- 🔄 Training Metrics
2025-08-30 06:17:45 - pico-train - INFO - ├── Loss: 5.7698
2025-08-30 06:17:45 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:18:38 - pico-train - INFO - Step 5800 -- 🔄 Training Metrics
2025-08-30 06:18:38 - pico-train - INFO - ├── Loss: 5.7458
2025-08-30 06:18:38 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:19:31 - pico-train - INFO - Step 5900 -- 🔄 Training Metrics
2025-08-30 06:19:31 - pico-train - INFO - ├── Loss: 5.7482
2025-08-30 06:19:31 - pico-train - INFO - ├── Learning Rate: 1.99e-04
2025-08-30 06:19:31 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:20:23 - pico-train - INFO - Step 6000 -- 💾 Saving Checkpoint
2025-08-30 06:22:23 - pico-train - INFO - Step 6000 -- 📊 Evaluation Results
2025-08-30 06:22:23 - pico-train - INFO - └── paloma: 5.501352274432362e+26
2025-08-30 06:22:25 - pico-train - INFO - Step 6000 -- 🔄 Training Metrics
2025-08-30 06:22:25 - pico-train - INFO - ├── Loss: 5.7402
2025-08-30 06:22:25 - pico-train - INFO - ├── Learning Rate: 1.99e-04
2025-08-30 06:22:25 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:22:25 - pico-train - INFO - Step 6000 -- 📈 Saving Learning Dynamics
2025-08-30 06:23:21 - pico-train - INFO - Step 6100 -- 🔄 Training Metrics
2025-08-30 06:23:21 - pico-train - INFO - ├── Loss: 5.7377
2025-08-30 06:23:21 - pico-train - INFO - ├── Learning Rate: 1.99e-04
2025-08-30 06:23:21 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:24:13 - pico-train - INFO - Step 6200 -- 🔄 Training Metrics
2025-08-30 06:24:13 - pico-train - INFO - ├── Loss: 5.6952
2025-08-30 06:24:13 - pico-train - INFO - ├── Learning Rate: 1.99e-04
2025-08-30 06:24:13 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:25:06 - pico-train - INFO - Step 6300 -- 🔄 Training Metrics
2025-08-30 06:25:06 - pico-train - INFO - ├── Loss: 5.6845
2025-08-30 06:25:06 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:26:00 - pico-train - INFO - Step 6400 -- 🔄 Training Metrics
2025-08-30 06:26:00 - pico-train - INFO - ├── Loss: 5.6903
2025-08-30 06:26:00 - pico-train - INFO - ├── Learning Rate: 1.99e-04
2025-08-30 06:26:00 - pico-train - INFO - └── Inf/NaN count: 0
2025-08-30 06:26:53 - pico-train - INFO - Step 6500 -- 🔄 Training Metrics
2025-08-30 06:26:53 - pico-train - INFO - ├── Loss: 5.6877
2025-08-30 06:26:53 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:29:35 - pico-train - INFO - ├── Loss: 5.6444
2025-08-30 06:29:35 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:30:28 - pico-train - INFO - ├── Loss: 5.6238
2025-08-30 06:30:28 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:31:21 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:32:14 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:33:08 - pico-train - INFO - ├── Learning Rate: 1.99e-04
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2025-08-30 06:35:48 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:37:36 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:38:28 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:39:22 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:40:15 - pico-train - INFO - Step 8000 -- 💾 Saving Checkpoint
2025-08-30 06:42:29 - pico-train - INFO - Step 8000 -- 📊 Evaluation Results
2025-08-30 06:42:29 - pico-train - INFO - └── paloma: 2.7741731039516784e+30
2025-08-30 06:42:33 - pico-train - INFO - Step 8000 -- 🔄 Training Metrics
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2025-08-30 06:42:33 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:43:31 - pico-train - INFO - Step 8100 -- 🔄 Training Metrics
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2025-08-30 06:43:31 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:45:16 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:46:08 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:47:00 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:47:53 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:48:45 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:49:37 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:50:30 - pico-train - INFO - ├── Learning Rate: 1.98e-04
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2025-08-30 06:51:23 - pico-train - INFO - ├── Learning Rate: 1.97e-04
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2025-08-30 06:52:16 - pico-train - INFO - ├── Learning Rate: 1.97e-04
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2025-08-30 06:53:07 - pico-train - INFO - ├── Learning Rate: 1.97e-04
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2025-08-30 06:53:59 - pico-train - INFO - ├── Learning Rate: 1.97e-04
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2025-08-30 06:55:45 - pico-train - INFO - ├── Learning Rate: 1.97e-04
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2025-08-30 06:57:28 - pico-train - INFO - ├── Learning Rate: 1.97e-04
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2025-08-30 06:58:21 - pico-train - INFO - ├── Learning Rate: 1.97e-04
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2025-08-30 06:59:13 - pico-train - INFO - ├── Loss: 5.4026
2025-08-30 06:59:13 - pico-train - INFO - ├── Learning Rate: 1.97e-04
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2025-08-30 07:00:05 - pico-train - INFO - Step 10000 -- 💾 Saving Checkpoint
2025-08-30 07:02:19 - pico-train - INFO - Step 10000 -- 📊 Evaluation Results
2025-08-30 07:02:19 - pico-train - INFO - └── paloma: 1.0181753654885411e+35
2025-08-30 07:02:21 - pico-train - INFO - Step 10000 -- 🔄 Training Metrics
2025-08-30 07:02:21 - pico-train - INFO - ├── Loss: 5.4191
2025-08-30 07:02:21 - pico-train - INFO - ├── Learning Rate: 1.97e-04
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2025-08-30 07:02:21 - pico-train - INFO - Step 10000 -- 📈 Saving Learning Dynamics
2025-08-30 07:03:18 - pico-train - INFO - Step 10100 -- 🔄 Training Metrics
2025-08-30 07:03:18 - pico-train - INFO - ├── Loss: 5.3756
2025-08-30 07:03:18 - pico-train - INFO - ├── Learning Rate: 1.97e-04
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2025-08-30 07:19:53 - pico-train - INFO - Step 12000 -- 💾 Saving Checkpoint
2025-08-30 07:22:04 - pico-train - INFO - Step 12000 -- 📊 Evaluation Results
2025-08-30 07:22:04 - pico-train - INFO - └── paloma: inf
2025-08-30 07:22:06 - pico-train - INFO - Step 12000 -- 🔄 Training Metrics
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2025-08-30 07:22:06 - pico-train - INFO - Step 12000 -- 📈 Saving Learning Dynamics
2025-08-30 07:23:04 - pico-train - INFO - Step 12100 -- 🔄 Training Metrics
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2025-08-30 07:41:49 - pico-train - INFO - Step 14000 -- 📊 Evaluation Results
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2025-08-30 08:01:22 - pico-train - INFO - Step 16000 -- 📊 Evaluation Results
2025-08-30 08:01:22 - pico-train - INFO - └── paloma: inf
2025-08-30 08:01:23 - pico-train - INFO - Step 16000 -- 🔄 Training Metrics
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2025-08-30 08:21:31 - pico-train - INFO - └── paloma: inf
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2025-08-30 08:41:42 - pico-train - INFO - Step 20000 -- 📊 Evaluation Results
2025-08-30 08:41:42 - pico-train - INFO - └── paloma: inf
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2025-08-30 08:41:44 - pico-train - INFO - ├── Learning Rate: 1.84e-04
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2025-08-30 09:01:28 - pico-train - INFO - Step 22000 -- 📊 Evaluation Results
2025-08-30 09:01:28 - pico-train - INFO - └── paloma: inf
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2025-08-30 09:21:02 - pico-train - INFO - Step 24000 -- 📊 Evaluation Results
2025-08-30 09:21:02 - pico-train - INFO - └── paloma: inf
2025-08-30 09:21:04 - pico-train - INFO - Step 24000 -- 🔄 Training Metrics
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2025-08-30 09:40:36 - pico-train - INFO - Step 26000 -- 📊 Evaluation Results
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2025-08-30 11:39:29 - pico-train - INFO - Step 38000 -- 📊 Evaluation Results
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2025-08-30 11:59:02 - pico-train - INFO - Step 40000 -- 📊 Evaluation Results
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2025-08-30 12:19:10 - pico-train - INFO - Step 42000 -- 📊 Evaluation Results
2025-08-30 12:19:10 - pico-train - INFO - └── paloma: inf
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2025-08-30 12:39:45 - pico-train - INFO - Step 44000 -- 📊 Evaluation Results
2025-08-30 12:39:45 - pico-train - INFO - └── paloma: inf
2025-08-30 12:39:47 - pico-train - INFO - Step 44000 -- 🔄 Training Metrics
2025-08-30 12:39:47 - pico-train - INFO - ├── Loss: 4.9013
2025-08-30 12:39:47 - pico-train - INFO - ├── Learning Rate: 1.22e-04
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2025-08-30 12:39:47 - pico-train - INFO - Step 44000 -- 📈 Saving Learning Dynamics
2025-08-30 12:40:45 - pico-train - INFO - Step 44100 -- 🔄 Training Metrics
2025-08-30 12:40:45 - pico-train - INFO - ├── Loss: 4.8915
2025-08-30 12:40:45 - pico-train - INFO - ├── Learning Rate: 1.22e-04
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2025-08-30 12:41:39 - pico-train - INFO - ├── Loss: 4.8805
2025-08-30 12:41:39 - pico-train - INFO - ├── Learning Rate: 1.22e-04
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2025-08-30 12:42:32 - pico-train - INFO - ├── Loss: 4.8928
2025-08-30 12:42:32 - pico-train - INFO - ├── Learning Rate: 1.21e-04
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2025-08-30 12:43:26 - pico-train - INFO - ├── Loss: 4.8799
2025-08-30 12:43:26 - pico-train - INFO - ├── Learning Rate: 1.21e-04
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2025-08-30 12:44:19 - pico-train - INFO - ├── Loss: 4.9167
2025-08-30 12:44:19 - pico-train - INFO - ├── Learning Rate: 1.21e-04
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2025-08-30 12:45:12 - pico-train - INFO - ├── Loss: 4.8424
2025-08-30 12:45:12 - pico-train - INFO - ├── Learning Rate: 1.20e-04
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2025-08-30 12:46:05 - pico-train - INFO - ├── Loss: 4.8779
2025-08-30 12:46:05 - pico-train - INFO - ├── Learning Rate: 1.20e-04
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2025-08-30 12:47:00 - pico-train - INFO - ├── Loss: 4.9088
2025-08-30 12:47:00 - pico-train - INFO - ├── Learning Rate: 1.20e-04
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2025-08-30 12:47:52 - pico-train - INFO - Step 44900 -- 🔄 Training Metrics
2025-08-30 12:47:52 - pico-train - INFO - ├── Loss: 4.9030
2025-08-30 12:47:52 - pico-train - INFO - ├── Learning Rate: 1.19e-04
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2025-08-30 12:48:44 - pico-train - INFO - Step 45000 -- 🔄 Training Metrics
2025-08-30 12:48:44 - pico-train - INFO - ├── Loss: 4.8993
2025-08-30 12:48:44 - pico-train - INFO - ├── Learning Rate: 1.19e-04
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2025-08-30 12:49:37 - pico-train - INFO - Step 45100 -- 🔄 Training Metrics
2025-08-30 12:49:37 - pico-train - INFO - ├── Loss: 4.8970
2025-08-30 12:49:37 - pico-train - INFO - ├── Learning Rate: 1.19e-04
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2025-08-30 12:50:30 - pico-train - INFO - Step 45200 -- 🔄 Training Metrics
2025-08-30 12:50:30 - pico-train - INFO - ├── Loss: 4.8831
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2025-08-30 12:51:23 - pico-train - INFO - ├── Loss: 4.8729
2025-08-30 12:51:23 - pico-train - INFO - ├── Learning Rate: 1.18e-04
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2025-08-30 12:53:09 - pico-train - INFO - ├── Loss: 4.9129
2025-08-30 12:53:09 - pico-train - INFO - ├── Learning Rate: 1.18e-04
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2025-08-30 12:56:41 - pico-train - INFO - Step 45900 -- 🔄 Training Metrics
2025-08-30 12:56:41 - pico-train - INFO - ├── Loss: 4.8725
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2025-08-30 12:57:33 - pico-train - INFO - Step 46000 -- 💾 Saving Checkpoint
2025-08-30 12:59:41 - pico-train - INFO - Step 46000 -- 📊 Evaluation Results
2025-08-30 12:59:41 - pico-train - INFO - └── paloma: inf
2025-08-30 12:59:43 - pico-train - INFO - Step 46000 -- 🔄 Training Metrics
2025-08-30 12:59:43 - pico-train - INFO - ├── Loss: 4.8772
2025-08-30 12:59:43 - pico-train - INFO - ├── Learning Rate: 1.16e-04
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2025-08-30 12:59:43 - pico-train - INFO - Step 46000 -- 📈 Saving Learning Dynamics
2025-08-30 13:00:43 - pico-train - INFO - Step 46100 -- 🔄 Training Metrics
2025-08-30 13:00:43 - pico-train - INFO - ├── Loss: 4.8649
2025-08-30 13:00:43 - pico-train - INFO - ├── Learning Rate: 1.16e-04
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2025-08-30 13:01:35 - pico-train - INFO - Step 46200 -- 🔄 Training Metrics
2025-08-30 13:01:35 - pico-train - INFO - ├── Loss: 4.8980
2025-08-30 13:01:35 - pico-train - INFO - ├── Learning Rate: 1.15e-04
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2025-08-30 13:02:29 - pico-train - INFO - Step 46300 -- 🔄 Training Metrics
2025-08-30 13:02:29 - pico-train - INFO - ├── Loss: 4.8867
2025-08-30 13:02:29 - pico-train - INFO - ├── Learning Rate: 1.15e-04
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2025-08-30 13:03:22 - pico-train - INFO - ├── Loss: 4.8807
2025-08-30 13:03:22 - pico-train - INFO - ├── Learning Rate: 1.15e-04
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2025-08-30 13:04:15 - pico-train - INFO - ├── Loss: 4.8779
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2025-08-30 13:05:09 - pico-train - INFO - ├── Learning Rate: 1.14e-04
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2025-08-30 13:06:01 - pico-train - INFO - ├── Learning Rate: 1.14e-04
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2025-08-30 13:07:49 - pico-train - INFO - Step 46900 -- 🔄 Training Metrics
2025-08-30 13:07:49 - pico-train - INFO - ├── Loss: 4.8686
2025-08-30 13:07:49 - pico-train - INFO - ├── Learning Rate: 1.13e-04
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2025-08-30 13:08:42 - pico-train - INFO - Step 47000 -- 🔄 Training Metrics
2025-08-30 13:08:42 - pico-train - INFO - ├── Loss: 4.8701
2025-08-30 13:08:42 - pico-train - INFO - ├── Learning Rate: 1.13e-04
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2025-08-30 13:09:35 - pico-train - INFO - Step 47100 -- 🔄 Training Metrics
2025-08-30 13:09:35 - pico-train - INFO - ├── Loss: 4.8670
2025-08-30 13:09:35 - pico-train - INFO - ├── Learning Rate: 1.12e-04
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2025-08-30 13:10:28 - pico-train - INFO - Step 47200 -- 🔄 Training Metrics
2025-08-30 13:10:28 - pico-train - INFO - ├── Loss: 4.8849
2025-08-30 13:10:28 - pico-train - INFO - ├── Learning Rate: 1.12e-04
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2025-08-30 13:11:22 - pico-train - INFO - ├── Loss: 4.8665
2025-08-30 13:11:22 - pico-train - INFO - ├── Learning Rate: 1.12e-04
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2025-08-30 13:12:16 - pico-train - INFO - ├── Loss: 4.8595
2025-08-30 13:12:16 - pico-train - INFO - ├── Learning Rate: 1.12e-04
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2025-08-30 13:13:08 - pico-train - INFO - ├── Loss: 4.8680
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2025-08-30 13:14:00 - pico-train - INFO - ├── Loss: 4.8867
2025-08-30 13:14:00 - pico-train - INFO - ├── Learning Rate: 1.11e-04
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2025-08-30 13:14:52 - pico-train - INFO - ├── Loss: 4.8761
2025-08-30 13:14:52 - pico-train - INFO - ├── Learning Rate: 1.11e-04
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2025-08-30 13:15:44 - pico-train - INFO - ├── Loss: 4.8965
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2025-08-30 13:17:28 - pico-train - INFO - Step 48000 -- 💾 Saving Checkpoint
2025-08-30 13:19:28 - pico-train - INFO - Step 48000 -- 📊 Evaluation Results
2025-08-30 13:19:28 - pico-train - INFO - └── paloma: inf
2025-08-30 13:19:29 - pico-train - INFO - Step 48000 -- 🔄 Training Metrics
2025-08-30 13:19:29 - pico-train - INFO - ├── Loss: 4.8801
2025-08-30 13:19:29 - pico-train - INFO - ├── Learning Rate: 1.10e-04
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2025-08-30 13:19:29 - pico-train - INFO - Step 48000 -- 📈 Saving Learning Dynamics
2025-08-30 13:20:26 - pico-train - INFO - Step 48100 -- 🔄 Training Metrics
2025-08-30 13:20:26 - pico-train - INFO - ├── Loss: 4.8751
2025-08-30 13:20:26 - pico-train - INFO - ├── Learning Rate: 1.09e-04
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2025-08-30 13:21:18 - pico-train - INFO - Step 48200 -- 🔄 Training Metrics
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2025-08-30 13:21:18 - pico-train - INFO - ├── Learning Rate: 1.09e-04
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2025-08-30 13:22:10 - pico-train - INFO - ├── Loss: 4.8749
2025-08-30 13:22:10 - pico-train - INFO - ├── Learning Rate: 1.09e-04
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2025-08-30 13:23:03 - pico-train - INFO - Step 48400 -- 🔄 Training Metrics
2025-08-30 13:23:03 - pico-train - INFO - ├── Loss: 4.8782
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2025-08-30 13:23:55 - pico-train - INFO - ├── Learning Rate: 1.08e-04
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2025-08-30 13:27:24 - pico-train - INFO - ├── Learning Rate: 1.07e-04
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2025-08-30 13:36:59 - pico-train - INFO - Step 50000 -- 💾 Saving Checkpoint
2025-08-30 13:39:13 - pico-train - INFO - Step 50000 -- 📊 Evaluation Results
2025-08-30 13:39:13 - pico-train - INFO - └── paloma: inf
2025-08-30 13:39:14 - pico-train - INFO - Step 50000 -- 🔄 Training Metrics
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2025-08-30 14:56:47 - pico-train - INFO - Step 58000 -- 💾 Saving Checkpoint
2025-08-30 14:58:46 - pico-train - INFO - Step 58000 -- 📊 Evaluation Results
2025-08-30 14:58:46 - pico-train - INFO - └── paloma: inf
2025-08-30 14:58:48 - pico-train - INFO - Step 58000 -- 🔄 Training Metrics
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2025-08-30 15:16:38 - pico-train - INFO - Step 60000 -- 💾 Saving Checkpoint
2025-08-30 15:18:54 - pico-train - INFO - Step 60000 -- 📊 Evaluation Results
2025-08-30 15:18:54 - pico-train - INFO - └── paloma: inf
2025-08-30 15:18:56 - pico-train - INFO - Step 60000 -- 🔄 Training Metrics
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