{ "started_at_brasilia": "2026-11-10T16:11:11.132132-03:00", "hardware": { "cpu": "Intel(R) Xeon(R) Processor", "logical_cpus": 8, "ram_total_gib": 15.627, "gpu_available": false }, "versions": { "python": "3.13.5", "torch": "2.15.0+cpu", "transformers": "4.57.6", "peft": "0.21.2", "datasets": "5.0.1", "accelerate": "1.15.0" }, "sources": { "model": { "id": "TucanoBR/Tucano-160m", "revision": "6331cbef9933c05d8d0c8ae5ee23ed2570f06571" }, "dataset": { "id": "OpenAssistant/oasst2", "revision": "179dd21fc55192153d94adb0e0ce8f69e222bf75" } }, "config": { "seed": 42, "threads": 6, "epochs": 6, "micro_batch_size": 4, "gradient_accumulation_steps": 4, "effective_batch_size": 16, "learning_rate": 0.0003, "weight_decay": 0.01, "warmup_ratio": 0.1, "max_grad_norm": 1.0, "rank": 16, "lora_alpha": 32, "lora_dropout": 0.05, "target_modules": [ "q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj" ], "max_length": 384, "precision": "CPU bfloat16 autocast; float32 base weights and trainable adapters", "loss": "completion-only token-weighted next-token negative log likelihood, including EOS" }, "trainable_parameters": 3391488, "total_parameters_with_adapter": 165808896, "base_parameters": 162417408, "split_examples": { "train": 94, "validation": 12, "test": 12 }, "before": { "validation": { "loss": 2.356751855036902, "perplexity": 10.55660631600646, "response_tokens": 1522, "examples": 12, "seconds": 0.7319192210052279 }, "test": { "loss": 2.430188522578911, "perplexity": 11.361023687609077, "response_tokens": 1907, "examples": 12, "seconds": 0.6798040540015791 } }, "best_epoch": 2, "after": { "validation": { "loss": 2.2419521171066044, "perplexity": 9.411686079660129, "response_tokens": 1522, "examples": 12, "seconds": 0.5894143010009429 }, "test": { "loss": 2.3471716908678437, "perplexity": 10.455955191388183, "response_tokens": 1907, "examples": 12, "seconds": 0.6937924470039434 } }, "training_started_at_brasilia": "2026-11-10T16:11:25.463075-03:00", "training_finished_at_brasilia": "2026-11-10T16:14:04.097314-03:00", "training_seconds_excluding_evaluation": 154.74840372199833, "validation_seconds_during_training": 3.513742549010203, "optimizer_steps": 36, "supervised_tokens_across_epochs": 75084, "history": [ { "event": "epoch", "epoch": 1, "optimizer_steps": 6, "train_loss": 2.2584660765231943, "train_seconds": 25.907004280001274, "validation": { "loss": 2.2768132312225764, "perplexity": 9.745573980476506, "response_tokens": 1522, "examples": 12, "seconds": 0.5419957140038605 } }, { "event": "epoch", "epoch": 2, "optimizer_steps": 12, "train_loss": 2.098645087989428, "train_seconds": 25.95503581200319, "validation": { "loss": 2.242185463416592, "perplexity": 9.413882518133018, "response_tokens": 1522, "examples": 12, "seconds": 0.5481375860035769 } }, { "event": "epoch", "epoch": 3, "optimizer_steps": 18, "train_loss": 1.981365356522283, "train_seconds": 24.54493858999922, "validation": { "loss": 2.243609419633462, "perplexity": 9.427297023236907, "response_tokens": 1522, "examples": 12, "seconds": 0.6372171650000382 } }, { "event": "epoch", "epoch": 4, "optimizer_steps": 24, "train_loss": 1.8920829225523852, "train_seconds": 25.12302869799896, "validation": { "loss": 2.24681126335134, "perplexity": 9.457530130000158, "response_tokens": 1522, "examples": 12, "seconds": 0.5965341569972225 } }, { "event": "epoch", "epoch": 5, "optimizer_steps": 30, "train_loss": 1.8361153760542404, "train_seconds": 26.84980382199865, "validation": { "loss": 2.248372650961055, "perplexity": 9.472308534770303, "response_tokens": 1522, "examples": 12, "seconds": 0.5754360380014987 } }, { "event": "epoch", "epoch": 6, "optimizer_steps": 36, "train_loss": 1.8106174533771444, "train_seconds": 26.368592519997037, "validation": { "loss": 2.2492608048129488, "perplexity": 9.48072513914832, "response_tokens": 1522, "examples": 12, "seconds": 0.6144218890040065 } } ], "wall_seconds_including_baselines_and_generations": 187.06369254900346, "max_process_rss_gib": 5.4983062744140625, "finished_at_brasilia": "2026-11-10T16:14:17.906711-03:00" }