Llama-3.1-8B-math-reasoning / training_config.yaml
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Upload math reasoning model with export data (without optimizer states)
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bf16: true
cutoff_len: 4096
dataset: tulu3_mixture_math_reasoning
ddp_timeout: 180000000
deepspeed: examples/deepspeed/ds_z3_config.json
do_train: true
eval_strategy: 'no'
finetuning_type: full
gradient_accumulation_steps: 32
learning_rate: 5.0e-06
logging_steps: 10
lr_scheduler_type: cosine
model_name_or_path: meta-llama/Llama-3.1-8B
num_train_epochs: 1.0
output_dir: /scratch/pxm5426/runs/lora-exploration/llama-factory/Llama-3.1-8B_tulu3_mixture_math_reasoning_full_ebs128_lr5e-06
overwrite_cache: true
overwrite_output_dir: true
per_device_train_batch_size: 2
plot_loss: true
preprocessing_num_workers: 12
report_to: wandb
save_steps: 600
save_strategy: steps
stage: sft
template: tulu_v3
trust_remote_code: true
warmup_ratio: 0.03