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https://github.com/wassname/alignment-handbook.git
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Loubna Ben Allal
49 lines
1.0 KiB
YAML
49 lines
1.0 KiB
YAML
# Model arguments
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model_name_or_path: HuggingFaceTB/SmolLM2-1.7B
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model_revision: main
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tokenizer_name_or_path: HuggingFaceTB/SmolLM2-1.7B-Instruct # Custom tokenizer with <|im_start|> and <|im_end|> tokens
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torch_dtype: bfloat16
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use_flash_attention_2: true
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# Data training arguments
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dataset_mixer:
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HuggingFaceTB/smoltalk: 1.0
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dataset_configs:
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- all
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dataset_splits:
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- train
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- test
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preprocessing_num_workers: 36
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# SFT trainer config
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bf16: true
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do_eval: true
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evaluation_strategy: epoch
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gradient_accumulation_steps: 4
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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hub_model_id: smollm2-1.7B-sft
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hub_strategy: every_save
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learning_rate: 3.0e-04
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log_level: info
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logging_steps: 5
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logging_strategy: steps
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lr_scheduler_type: cosine
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max_seq_length: 8192
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max_steps: -1
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num_train_epochs: 2
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output_dir: data/smollm2-1.7B-sft
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overwrite_output_dir: true
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per_device_eval_batch_size: 4
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per_device_train_batch_size: 4
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push_to_hub: true
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remove_unused_columns: true
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report_to:
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- tensorboard
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- wandb
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save_strategy: "no"
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seed: 42
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warmup_ratio: 0.1 |