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{
"model_name": "microsoft/Phi-3.5-mini-instruct",
"display_name": "Phi-3.5 (BF16, Liger, Batch96, CkptON)",
"timestamp": "2026-02-03T19:35:19.489805",
"training_config": {
"num_train_epochs": 1,
"per_device_train_batch_size": 96,
"gradient_accumulation_steps": 1,
"learning_rate": 0.0002,
"warmup_ratio": 0.03,
"lr_scheduler_type": "cosine",
"weight_decay": 0.01,
"max_seq_length": 4096,
"logging_steps": 1,
"eval_steps": 50,
"save_steps": 200,
"seed": 42,
"bf16": true,
"optim": "adamw_torch_fused",
"dataloader_num_workers": 8,
"torch_compile": true
},
"lora_config": {
"r": 16,
"lora_alpha": 32,
"lora_dropout": 0.05,
"target_modules": [
"q_proj",
"k_proj",
"v_proj",
"o_proj",
"gate_proj",
"up_proj",
"down_proj"
],
"bias": "none",
"task_type": "CAUSAL_LM"
},
"train_loss": 0.5981301681586066,
"train_samples": 172145,
"val_samples": 9066,
"train_time_minutes": 147.3416652202606,
"max_memory_gb": 54.91591787338257,
"fix_applied": "YAML normalization via PyYAML (2 spaces), packing=False, Native BF16 Training, Batch 96"
} |