add sft yaml

sft_related/qwen2_5_vl_full_sft.yaml

@@ -0,0 +1,45 @@
+### model
+model_name_or_path: Qwen/Qwen2.5-VL-3B-Instruct
+image_resolution: 262144
+video_resolution: 16384
+trust_remote_code: true
+
+### method
+stage: sft
+do_train: true
+finetuning_type: full
+freeze_vision_tower: true  # choices: [true, false]
+freeze_multi_modal_projector: true  # choices: [true, false]
+train_mm_proj_only: false  # choices: [true, false]
+deepspeed: examples/deepspeed/ds_z2_config.json  # choices: [ds_z0_config.json, ds_z2_config.json, ds_z3_config.json]
+
+### dataset
+dataset: mllm_rec_json
+template: qwen2_vl
+cutoff_len: 2048
+max_samples: 1000000
+overwrite_cache: true
+preprocessing_num_workers: 16
+
+### output
+output_dir: saves/qwen2_5_vl-3b/full/sft
+logging_steps: 10
+save_steps: 100
+plot_loss: true
+overwrite_output_dir: true
+
+### train
+per_device_train_batch_size: 1
+gradient_accumulation_steps: 2
+learning_rate: 2.0e-5
+num_train_epochs: 3.0
+lr_scheduler_type: cosine
+warmup_ratio: 0.1
+bf16: true
+ddp_timeout: 180000000
+
+### eval
+# val_size: 0.1
+# per_device_eval_batch_size: 1
+# eval_strategy: steps
+# eval_steps: 500