Create axolotl/config.yaml
Browse files- axolotl/config.yaml +83 -0
axolotl/config.yaml
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base_model: Qwen/Qwen1.5-32B
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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trust_remote_code: true
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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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datasets:
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- path: u-acc/mimi
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type: sharegpt
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conversation: chatml
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- path: u-acc/sonnetorcasubset
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type: sharegpt
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conversation: chatml
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- path: u-acc/claude_writing
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type: sharegpt
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conversation: chatml
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- path: kalomaze/Opus_Instruct_3k
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type: sharegpt
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conversation: chatml
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- path: kalomaze/Opus_Instruct_25k
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type: sharegpt
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conversation: chatml
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chat_template: chatml
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dataset_prepared_path:
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val_set_size: 0.0
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output_dir: ./magnum-32b-v1
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default_system_message: You are an assistant that responds to the user.
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sequence_len: 8192
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sample_packing: true
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eval_sample_packing: false
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pad_to_sequence_len: false
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adapter:
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lora_model_dir:
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lora_r:
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lora_alpha:
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lora_dropout:
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lora_target_linear:
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lora_fan_in_fan_out:
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wandb_project: magnum-32b-v2
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wandb_entity:
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wandb_watch:
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wandb_name: attempt-2
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wandb_log_model:
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gradient_accumulation_steps: 4
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micro_batch_size: 1
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num_epochs: 2
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optimizer: paged_adamw_8bit
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lr_scheduler: cosine
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learning_rate: 0.00001
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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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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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warmup_steps: 30
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evals_per_epoch:
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eval_table_size:
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eval_max_new_tokens:
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saves_per_epoch: 2
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debug:
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deepspeed: deepspeed_configs/zero3_bf16.json
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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special_tokens:
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