55 lines
1.1 KiB
YAML
55 lines
1.1 KiB
YAML
seed: 42
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### model
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model_name_or_path: meta-llama/Llama-3.2-1B-Instruct
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trust_remote_code: true
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flash_attn: auto
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use_cache: false
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### method
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stage: sft
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do_train: true
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finetuning_type: full
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### dataset
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dataset: boolq
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template: llama3
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cutoff_len: 2048
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overwrite_cache: true
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preprocessing_num_workers: 4
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dataloader_num_workers: 4
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packing: false
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### output
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output_dir: saves_bts_preliminary/base/llama-3.2-1b-instruct/train_boolq_42_1776331558
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logging_steps: 5
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save_steps: 0.05
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overwrite_output_dir: true
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save_only_model: false
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plot_loss: true
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include_num_input_tokens_seen: true
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push_to_hub: true
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push_to_hub_organization: rbelanec
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load_best_model_at_end: true
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save_total_limit: 1
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### train
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per_device_train_batch_size: 8
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learning_rate: 5.0e-6
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num_train_epochs: 5
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weight_decay: 1.0e-5
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lr_scheduler_type: cosine
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bf16: true
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ddp_timeout: 180000000
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resume_from_checkpoint: null
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warmup_ratio: 0.1
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optim: adamw_torch
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report_to:
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- wandb
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run_name: base_llama-3.2-1b-instruct_train_boolq_42_1776331558
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### eval
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per_device_eval_batch_size: 8
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eval_strategy: steps
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eval_steps: 0.05
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val_size: 0.1 |