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Upload reports/training_config.json with huggingface_hub

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  1. reports/training_config.json +45 -0
reports/training_config.json ADDED
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+ {
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+ "model_name": "Qwen/Qwen2.5-0.5B-Instruct",
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+ "trust_remote_code": true,
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+ "use_4bit": false,
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+ "torch_dtype": "auto",
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+ "data_dir": "data",
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+ "max_seq_len": 768,
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+ "val_split": "validation",
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+ "lora_r": 16,
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+ "lora_alpha": 32,
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+ "lora_dropout": 0.05,
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+ "target_modules": [
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+ "q_proj",
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+ "k_proj",
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+ "v_proj",
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+ "o_proj",
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+ "gate_proj",
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+ "up_proj",
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+ "down_proj"
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+ ],
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+ "use_dora": false,
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+ "epochs": 3,
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+ "max_steps": -1,
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+ "learning_rate": 0.0002,
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+ "weight_decay": 0.01,
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+ "warmup_ratio": 0.03,
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+ "lr_scheduler_type": "cosine",
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+ "batch_size": 4,
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+ "grad_accum": 4,
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+ "max_grad_norm": 1.0,
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+ "gradient_checkpointing": true,
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+ "optim": "adamw_torch",
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+ "output_dir": "/kaggle/working/Own-llm/outputs/nova1-0.5b-lora",
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+ "logging_steps": 5,
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+ "save_strategy": "epoch",
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+ "eval_strategy": "epoch",
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+ "save_total_limit": 2,
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+ "seed": 42,
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+ "num_workers": 0,
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+ "report_to": "none",
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+ "max_train_samples": -1,
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+ "resume_from_checkpoint": null,
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+ "push_to_hub": false,
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+ "hub_model_id": ""
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+ }