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Create qwq.yml

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  1. qwq.yml +87 -0
qwq.yml ADDED
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+ base_model: Qwen/QwQ-32B
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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+
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ liger_rope: true
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+ liger_rms_norm: true
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+ liger_swiglu: true
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+ liger_fused_linear_cross_entropy: true
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ datasets:
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+ - path: Mielikki/Erebus-87k
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+ type: completion
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+ field: body
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+ - path: NewEden/Orion-Completion-Asstr-Stories-16K
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+ type: completion
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+ field: content
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+ - path: NewEden/Orion-Completion-LIT
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+ type: completion
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+ field: text
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+
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+ shuffle_merged_datasets: true
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+ dataset_prepared_path: prepared_data
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+ output_dir: ./qvq-cum
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+
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+ sequence_len: 16384
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+
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+ adapter: lora
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+ lora_model_dir:
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+ lora_r: 128
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+ lora_alpha: 16
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+ lora_dropout: 0.05
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+ lora_target_modules:
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+ - gate_proj
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+ - down_proj
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+ - up_proj
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+ - q_proj
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+ - v_proj
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+ - k_proj
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+ - o_proj
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+
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+ lora_modules_to_save:
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+ - embed_tokens
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+ - lm_head
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+
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+ wandb_project: qwq
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name: Pretrain-pt1
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 2
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+ micro_batch_size: 2
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+ num_epochs: 1
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+ optimizer: paged_ademamix_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 1e-5
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+ max_grad_norm: 0.001
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: auto
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+ fp16:
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+ tf32: false
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+
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+ gradient_checkpointing: unsloth
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+ early_stopping_patience:
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+ resume_from_checkpoint:
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+ local_rank:
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+ logging_steps: 1
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+ xformers_attention:
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+ flash_attention: true
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+
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+ warmup_steps: 40
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+ saves_per_epoch: 2
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+ debug:
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+ deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
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+ weight_decay: 0.01
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+ fsdp:
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+ fsdp_config: