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Model: philipperen55/Qwen3-14B-datasetCPT70-axolotl Source: Original Platform
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axolotl_config.yml
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66
axolotl_config.yml
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base_model: Qwen/Qwen3-14B-Base
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trust_remote_code: true
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tokenizer_use_fast: true
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load_in_8bit: false
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load_in_4bit: false
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datasets:
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- path: philipperen55/datasetCPT70axolotlRandomized
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split: train
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data_files: datasetCPT70axolotlRandomized.jsonl
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type: completion
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field: text
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val_set_size: 0.0001
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dataset_prepared_path: prepared_cpt
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output_dir: outputs_cpt
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sequence_len: 2048
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pad_to_sequence_len: true
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sample_packing: true
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eval_sample_packing: true
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attn_implementation: flash_attention_2
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excess_length_strategy: truncate
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train_on_inputs: true
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add_eos_token: true
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# FULL finetune CPT
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micro_batch_size: 2
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gradient_accumulation_steps: 8
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num_epochs: 1
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optimizer: adamw_8bit
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learning_rate: 4e-5
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weight_decay: 0.01
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lr_scheduler: constant_with_warmup
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warmup_ratio: 0.01
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max_grad_norm: 1.0
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fp16: false
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bf16: true
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tf32: true
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gradient_checkpointing: false
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logging_steps: 50
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eval_steps: 1000
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save_steps: 5000
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save_total_limit: 1
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save_only_model: true
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seed: 42
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#mettre 24 si ya plus de 24 vspu, sinon mettre 16 si ya 24vcpu
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dataset_num_proc: 24
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# WandB
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wandb_project: qwen3_14b_cpt_full_axolotl
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# Hub
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hub_model_id:
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push_to_hub: false #mon script upload de façon plus sûre
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hub_strategy: every_save
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