Upload 2 files
Browse files- qwen2vl_lora_sft.yaml +55 -0
- qwen2vl_lora_sft_mit10.yaml +57 -0
qwen2vl_lora_sft.yaml
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### model
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model_name_or_path: /mnt/data/users/liamding/data/models/Qwen2.5-VL-3B-Instruct
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# image_max_pixels: 262144
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# image_max_pixels: 401408
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# image_max_pixels: 1003520
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image_max_pixels: 802816
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video_max_pixels: 16384
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trust_remote_code: true
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### method
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stage: sft
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do_train: true
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finetuning_type: lora
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# lora_rank: 8
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lora_rank: 16
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lora_alpha: 32
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lora_target: all
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lora_dropout: 0.1
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### dataset
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dataset: ocrmt30k_train_ocr_mt # video: mllm_video_demo
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eval_dataset: ocrmt30k_val_ocr_mt
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template: qwen2_vl
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cutoff_len: 4096
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# max_samples: 1000
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overwrite_cache: true
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preprocessing_num_workers: 16
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dataloader_num_workers: 4
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### output
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output_dir: saves/qwen2_vl-3b_ocrmt/lora/sft
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logging_steps: 10
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save_steps: 1000
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plot_loss: true
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overwrite_output_dir: true
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save_only_model: false
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report_to: wandb
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### train
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per_device_train_batch_size: 4
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gradient_accumulation_steps: 8
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# learning_rate: 1.0e-4
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learning_rate: 2.0e-5
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num_train_epochs: 3.0
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lr_scheduler_type: cosine
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warmup_ratio: 0.1
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# warmup_ratio: 0.2
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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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### eval
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per_device_eval_batch_size: 1
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eval_strategy: steps
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eval_steps: 125
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qwen2vl_lora_sft_mit10.yaml
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### model
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model_name_or_path: /mnt/data/users/liamding/data/models/Qwen2.5-VL-7B-Instruct
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# image_max_pixels: 262144
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# image_max_pixels: 401408
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# image_max_pixels: 1003520
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image_max_pixels: 802816
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video_max_pixels: 16384
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trust_remote_code: true
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### method
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stage: sft
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do_train: true
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finetuning_type: lora
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# lora_rank: 8
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lora_rank: 16
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lora_alpha: 32
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lora_target: all
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lora_dropout: 0.2
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deepspeed: examples/deepspeed/ds_z2_config.json # choices: [ds_z0_config.json, ds_z2_config.json, ds_z3_config.json]
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### dataset
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dataset: mit10_train_de, mit10_train_en, mit10_train_es, mit10_train_fr, mit10_train_it, mit10_train_ja, mit10_train_pt, mit10_train_zh
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eval_dataset: mit10_val_de, mit10_val_en, mit10_val_es, mit10_val_fr, mit10_val_it, mit10_val_ja, mit10_val_pt, mit10_val_zh
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template: qwen2_vl
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cutoff_len: 4096
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# max_samples: 1000
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overwrite_cache: true
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preprocessing_num_workers: 16
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dataloader_num_workers: 4
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### output
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output_dir: dummy
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logging_steps: 10
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save_steps: 1000
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plot_loss: true
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overwrite_output_dir: true
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save_only_model: false
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report_to: none
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### train
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per_device_train_batch_size: 4
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gradient_accumulation_steps: 8 #两张卡8,8张卡2
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# learning_rate: 1.0e-4
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learning_rate: 1.0e-5
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num_train_epochs: 3.0
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lr_scheduler_type: cosine
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# warmup_ratio: 0.1
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warmup_ratio: 0.2
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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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weight_decay: 0.01
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### eval
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per_device_eval_batch_size: 1
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eval_strategy: steps
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eval_steps: 250
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