fr_full_sft.yaml

### model
model_name_or_path: HoangHa/Pensez-v0.1-init
trust_remote_code: true
enable_liger_kernel: true
use_unsloth_gc: true

### method
stage: sft
do_train: true
finetuning_type: full
deepspeed: examples/deepspeed/ds_z3_offload_config.json  # choices: [ds_z0_config.json, ds_z2_config.json, ds_z3_config.json]

### dataset
dataset: pensez
template: qwen
cutoff_len: 16384
# max_samples: 1000
overwrite_cache: true
preprocessing_num_workers: 16
neat_packing: true

### output
output_dir: saves/fr-8b/full/sft
logging_steps: 1
# save_steps: 500
save_strategy: "epoch"
plot_loss: true
overwrite_output_dir: true

### train
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-5
num_train_epochs: 5.0
lr_scheduler_type: cosine
warmup_ratio: 0.05
bf16: true
ddp_timeout: 180000000
neftune_noise_alpha: 5

### eval
# val_size: 0.1
# per_device_eval_batch_size: 1
# eval_strategy: steps
# eval_steps: 500

report_to: wandb
run_name: fr-pensez # optional