Upload axolotl_config_l6xu8_mg.yml
Browse files- axolotl_config_l6xu8_mg.yml +76 -0
axolotl_config_l6xu8_mg.yml
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base_model: ./mistralai_Mistral-Small-24B-Base-2501/
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# optionally might have model_type or tokenizer_type
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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# Automatically upload checkpoint and final model to HF
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# hub_model_id: username/custom_model_name
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trust_remote_code: true
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wandb_project: SmallMistral-Reflex2
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wandb_entity:
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wandb_watch:
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wandb_name:
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wandb_log_model:
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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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model_config:
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output_router_logits: true
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chat_template: tokenizer_default
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datasets:
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- path: Undi95/R1-RP-ShareGPT3
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type: chat_template
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chat_template: tokenizer_default
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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roles:
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user: ["human", "user"]
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assistant: ["gpt", "assistant"]
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system: ["system"]
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tool: ["tool"]
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dataset_prepared_path: last_run_prepared
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shuffle_merged_datasets: true
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val_set_size: 0.05
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output_dir: ./out
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sequence_len: 4096
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sample_packing: true
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pad_to_sequence_len: true
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gradient_accumulation_steps: 1
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micro_batch_size: 1
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num_epochs: 2
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.0000025
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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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save_total_limit: 6
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saves_per_epoch: 2
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save_steps:
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debug:
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deepspeed:
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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save_safetensors: true
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