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epoch_1.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:27a16a7822009b2dfddf2d789741c874b2299137e2385eea4934cb2b3e21e20f
+size 125871521

xtuner_config.py

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+SYSTEM = ''
+accumulative_counts = 1
+batch_size = 32
+betas = (
+    0.9,
+    0.999,
+)
+custom_hooks = [
+    dict(
+        tokenizer=dict(
+            padding_side='right',
+            pretrained_model_name_or_path='lmsys/vicuna-13b-v1.5',
+            trust_remote_code=True,
+            type='transformers.AutoTokenizer.from_pretrained'),
+        type='xtuner.engine.DatasetInfoHook'),
+    dict(
+        evaluation_images='https://llava-vl.github.io/static/images/view.jpg',
+        evaluation_inputs=[
+            '请描述一下这张照片',
+            'Please describe this picture',
+        ],
+        every_n_iters=500,
+        image_processor=dict(
+            pretrained_model_name_or_path='openai/clip-vit-large-patch14-336',
+            trust_remote_code=True,
+            type='transformers.CLIPImageProcessor.from_pretrained'),
+        prompt_template='xtuner.utils.PROMPT_TEMPLATE.vicuna',
+        system='',
+        tokenizer=dict(
+            padding_side='right',
+            pretrained_model_name_or_path='lmsys/vicuna-13b-v1.5',
+            trust_remote_code=True,
+            type='transformers.AutoTokenizer.from_pretrained'),
+        type='xtuner.engine.EvaluateChatHook'),
+]
+data_path = './data/llava_data/LLaVA-Pretrain/blip_laion_cc_sbu_558k.json'
+data_root = './data/llava_data/'
+dataloader_num_workers = 0
+default_hooks = dict(
+    checkpoint=dict(interval=1, type='mmengine.hooks.CheckpointHook'),
+    logger=dict(interval=10, type='mmengine.hooks.LoggerHook'),
+    param_scheduler=dict(type='mmengine.hooks.ParamSchedulerHook'),
+    sampler_seed=dict(type='mmengine.hooks.DistSamplerSeedHook'),
+    timer=dict(type='mmengine.hooks.IterTimerHook'))
+env_cfg = dict(
+    cudnn_benchmark=False,
+    dist_cfg=dict(backend='nccl'),
+    mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0))
+evaluation_freq = 500
+evaluation_images = 'https://llava-vl.github.io/static/images/view.jpg'
+evaluation_inputs = [
+    '请描述一下这张照片',
+    'Please describe this picture',
+]
+image_folder = './data/llava_data/LLaVA-Pretrain/images'
+image_processor = dict(
+    pretrained_model_name_or_path='openai/clip-vit-large-patch14-336',
+    trust_remote_code=True,
+    type='transformers.CLIPImageProcessor.from_pretrained')
+launcher = 'pytorch'
+llava_dataset = dict(
+    data_path='./data/llava_data/LLaVA-Pretrain/blip_laion_cc_sbu_558k.json',
+    dataset_map_fn='xtuner.dataset.map_fns.llava_map_fn',
+    image_folder='./data/llava_data/LLaVA-Pretrain/images',
+    image_processor=dict(
+        pretrained_model_name_or_path='openai/clip-vit-large-patch14-336',
+        trust_remote_code=True,
+        type='transformers.CLIPImageProcessor.from_pretrained'),
+    max_length=1472,
+    pad_image_to_square=False,
+    template_map_fn=dict(
+        template='xtuner.utils.PROMPT_TEMPLATE.vicuna',
+        type='xtuner.dataset.map_fns.template_map_fn_factory'),
+    tokenizer=dict(
+        padding_side='right',
+        pretrained_model_name_or_path='lmsys/vicuna-13b-v1.5',
+        trust_remote_code=True,
+        type='transformers.AutoTokenizer.from_pretrained'),
+    type='xtuner.dataset.LLaVADataset')
+llm_name_or_path = 'lmsys/vicuna-13b-v1.5'
+load_from = None
+log_level = 'INFO'
+lr = 0.001
+max_epochs = 1
+max_length = 1472
+max_norm = 1
+model = dict(
+    freeze_llm=True,
+    freeze_visual_encoder=True,
+    llm=dict(
+        pretrained_model_name_or_path='lmsys/vicuna-13b-v1.5',
+        quantization_config=dict(
+            bnb_4bit_compute_dtype='torch.float16',
+            bnb_4bit_quant_type='nf4',
+            bnb_4bit_use_double_quant=True,
+            llm_int8_has_fp16_weight=False,
+            llm_int8_threshold=6.0,
+            load_in_4bit=True,
+            load_in_8bit=False,
+            type='transformers.BitsAndBytesConfig'),
+        torch_dtype='torch.float16',
+        trust_remote_code=True,
+        type='transformers.AutoModelForCausalLM.from_pretrained'),
+    type='xtuner.model.LLaVAModel',
+    visual_encoder=dict(
+        pretrained_model_name_or_path='openai/clip-vit-large-patch14-336',
+        type='transformers.CLIPVisionModel.from_pretrained'))
+optim_type = 'torch.optim.AdamW'
+optim_wrapper = dict(
+    optimizer=dict(
+        betas=(
+            0.9,
+            0.999,
+        ),
+        lr=0.001,
+        type='torch.optim.AdamW',
+        weight_decay=0),
+    type='DeepSpeedOptimWrapper')
+param_scheduler = [
+    dict(
+        begin=0,
+        by_epoch=True,
+        convert_to_iter_based=True,
+        end=0.03,
+        start_factor=1e-05,
+        type='mmengine.optim.LinearLR'),
+    dict(
+        T_max=1,
+        begin=0.03,
+        by_epoch=True,
+        convert_to_iter_based=True,
+        eta_min=0.0,
+        type='mmengine.optim.CosineAnnealingLR'),
+]
+prompt_template = 'xtuner.utils.PROMPT_TEMPLATE.vicuna'
+randomness = dict(deterministic=False, seed=None)
+resume = False
+runner_type = 'FlexibleRunner'
+strategy = dict(
+    config=dict(
+        bf16=dict(enabled=True),
+        fp16=dict(enabled=False, initial_scale_power=16),
+        gradient_accumulation_steps='auto',
+        gradient_clipping='auto',
+        train_micro_batch_size_per_gpu='auto',
+        zero_allow_untested_optimizer=True,
+        zero_force_ds_cpu_optimizer=False,
+        zero_optimization=dict(overlap_comm=True, stage=2)),
+    exclude_frozen_parameters=True,
+    gradient_accumulation_steps=1,
+    gradient_clipping=1,
+    train_micro_batch_size_per_gpu=32,
+    type='xtuner.engine.DeepSpeedStrategy')
+tokenizer = dict(
+    padding_side='right',
+    pretrained_model_name_or_path='lmsys/vicuna-13b-v1.5',
+    trust_remote_code=True,
+    type='transformers.AutoTokenizer.from_pretrained')
+train_cfg = dict(by_epoch=True, max_epochs=1, val_interval=1)
+train_dataloader = dict(
+    batch_size=32,
+    collate_fn=dict(type='xtuner.dataset.collate_fns.default_collate_fn'),
+    dataset=dict(
+        data_path=
+        './data/llava_data/LLaVA-Pretrain/blip_laion_cc_sbu_558k.json',
+        dataset_map_fn='xtuner.dataset.map_fns.llava_map_fn',
+        image_folder='./data/llava_data/LLaVA-Pretrain/images',
+        image_processor=dict(
+            pretrained_model_name_or_path='openai/clip-vit-large-patch14-336',
+            trust_remote_code=True,
+            type='transformers.CLIPImageProcessor.from_pretrained'),
+        max_length=1472,
+        pad_image_to_square=False,
+        template_map_fn=dict(
+            template='xtuner.utils.PROMPT_TEMPLATE.vicuna',
+            type='xtuner.dataset.map_fns.template_map_fn_factory'),
+        tokenizer=dict(
+            padding_side='right',
+            pretrained_model_name_or_path='lmsys/vicuna-13b-v1.5',
+            trust_remote_code=True,
+            type='transformers.AutoTokenizer.from_pretrained'),
+        type='xtuner.dataset.LLaVADataset'),
+    num_workers=0,
+    sampler=dict(shuffle=True, type='mmengine.dataset.DefaultSampler'))
+visual_encoder_name_or_path = 'openai/clip-vit-large-patch14-336'
+visualizer = None
+warmup_ratio = 0.03
+weight_decay = 0
+work_dir = './work_dirs/llava_vicuna_13b_v15_clip_vit_large_p14_336_e1_gpu8_pretrain'