feat: add nemotron config (#3506)
* nemotron config exp * Update examples/nemotron/nemotron-mini-4b-qlora.yaml Co-authored-by: NanoCode012 <kevinvong@rocketmail.com> --------- Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
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57
examples/nemotron/nemotron-mini-4b-qlora.yaml
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57
examples/nemotron/nemotron-mini-4b-qlora.yaml
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base_model: nvidia/Nemotron-Mini-4B-Instruct
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load_in_8bit: false
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load_in_4bit: true
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datasets:
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- path: fozziethebeat/alpaca_messages_2k_test
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type: chat_template
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.1
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output_dir: ./outputs/nemotron-mini-4b-qlora
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adapter: qlora
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lora_model_dir:
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sequence_len: 4096
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sample_packing: true
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_linear: true
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lora_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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- up_proj
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- down_proj
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wandb_project:
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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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gradient_accumulation_steps: 4
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micro_batch_size: 2
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num_epochs: 1
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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bf16: auto
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tf32: false
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gradient_checkpointing: true
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resume_from_checkpoint:
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logging_steps: 1
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flash_attention: true
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warmup_ratio: 0.1
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evals_per_epoch: 1
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saves_per_epoch: 1
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special_tokens:
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@@ -59,6 +59,7 @@ SUPPORTED_MULTIPACK_MODEL_TYPES = [
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"ministral3",
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"mistral4",
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"afmoe",
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"nemotron",
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]
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