agent1 / training_args.yaml
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bf16: true
cutoff_len: 2048
dataset: agent1
dataset_dir: data
ddp_timeout: 180000000
do_train: true
enable_thinking: true
finetuning_type: full
flash_attn: auto
gradient_accumulation_steps: 8
include_num_input_tokens_seen: true
learning_rate: 5.0e-05
logging_steps: 5
lr_scheduler_type: cosine
max_grad_norm: 1.0
max_samples: 100000
model_name_or_path: /scratch/pbsjobs/job.2645474.hpc/models/Qwen2.5-7B-Instruct
num_train_epochs: 3.0
optim: adamw_torch
output_dir: /scratch/pbsjobs/job.2645474.hpc/sft/agent1
packing: false
per_device_train_batch_size: 2
plot_loss: true
preprocessing_num_workers: 16
report_to: none
save_steps: 100
stage: sft
template: qwen
trust_remote_code: true
warmup_steps: 0