First Version

added_tokens.json

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+{
+  "<im_end>": 32002,
+  "<im_patch>": 32000,
+  "<im_start>": 32001
+}

cfg.py

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+IMAGENET1K_TRAIN = dict(
+    type='ImageNet1kDatasetTrain',
+    filename=
+    '/mnt/lustre/share_data/taiyan/dataset/imagenet1k/train900_pairs.jsonl',
+    image_folder='/mnt/lustre/share_data/taiyan/dataset/ImageNet-1K',
+    template_file=
+    '/mnt/cache/taiyan/unify_mllm/config/_base_/dataset/template/ICL.json')
+DEFAULT_TRAIN_IMAGENET1K_VARIANT = dict(
+    imagenet1k_train=dict(
+        type='ImageNet1kDatasetTrain',
+        filename=
+        '/mnt/lustre/share_data/taiyan/dataset/imagenet1k/train900_pairs.jsonl',
+        image_folder='/mnt/lustre/share_data/taiyan/dataset/ImageNet-1K',
+        template_file=
+        '/mnt/cache/taiyan/unify_mllm/config/_base_/dataset/template/ICL.json')
+)
+model_args = dict(
+    type='llava',
+    version='v1',
+    cache_dir=None,
+    model_name_or_path=
+    '/mnt/lustre/share_data/xiechi/misc/to_weichen/llava_pretrain_final19/checkpoint-44000/',
+    vision_tower=
+    '/mnt/lustre/share_data/chenkeqin/VG/ckpt/openai/clip-vit-large-patch14',
+    pretrain_mm_mlp_adapter=None,
+    mm_vision_select_layer=-2,
+    model_max_length=30000,
+    freeze_backbone=False,
+    tune_mm_mlp_adapter=False,
+    freeze_mm_mlp_adapter=False,
+    freeze_mm_projector=False,
+    is_multimodal=True,
+    sep_image_conv_front=False,
+    image_token_len=256,
+    mm_use_im_start_end=True,
+    target_processor=dict(boxes=dict(type='PlainBoxFormatter')),
+    process_func_args=dict(
+        conv=dict(type='LLavaConvProcessV1'),
+        target=dict(type='BoxFormatProcess'),
+        text=dict(type='LlavaTextProcessV2'),
+        image=dict(type='LlavaImageProcessorV1')),
+    conv_args=dict(
+        conv_template=[
+            'hypnotized_v1.0', 'hypnotized_v1.1', 'hypnotized_ans_v1.0',
+            'vicuna_v1.1', 'causal_v1.0', 'final_v1.0'
+        ],
+        transforms=dict(type='Expand2square'),
+        tokenize_kwargs=dict(truncation_size=2048)),
+    gen_kwargs_set_pad_token_id=True,
+    gen_kwargs_set_bos_token_id=True,
+    gen_kwargs_set_eos_token_id=True)
+training_args = dict(
+    output_dir='/mnt/cache/taiyan/unify_mllm/checkpoints/2way_weight',
+    overwrite_output_dir=True,
+    report_to='none',
+    seed=42,
+    remove_unused_columns=False,
+    do_train=True,
+    per_device_train_batch_size=1,
+    gradient_accumulation_steps=1,
+    num_train_epochs=50,
+    learning_rate=2e-05,
+    lr_scheduler_type='cosine',
+    weight_decay=0.0,
+    warmup_ratio=0.03,
+    evaluation_strategy='no',
+    tf32=False,
+    bf16=False,
+    gradient_checkpointing=True,
+    fsdp='full_shard auto_wrap',
+    fsdp_transformer_layer_cls_to_wrap='LlamaDecoderLayer',
+    logging_steps=10,
+    save_strategy='steps',
+    save_steps=500,
+    do_eval=False,
+    do_predict=False,
+    predict_with_generate=True,
+    per_device_eval_batch_size=8,
+    dataloader_num_workers=4,
+    fp16=True)
+data_args = dict(
+    train=dict(
+        type='ImageNet1kDatasetTrain',
+        filename=
+        '/mnt/lustre/share_data/taiyan/dataset/imagenet1k/train900_pairs.jsonl',
+        image_folder='/mnt/lustre/share_data/taiyan/dataset/ImageNet-1K',
+        template_file=
+        '/mnt/cache/taiyan/unify_mllm/config/_base_/dataset/template/ICL.json',
+        policy='policy_2way_weight'),
+    validation=None,
+    test=None,
+    compute_metric=None,
+    collator_kwargs=dict(padding=True, max_length=1024),
+    gen_kwargs=dict(max_new_tokens=1024, num_beams=1),
+    use_icl=True,
+    shot=8)

config.json

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+{
+  "_name_or_path": "/mnt/lustre/share_data/xiechi/misc/to_weichen/llava_pretrain_final19/checkpoint-44000/",
+  "architectures": [
+    "LlavaLlamaForCausalLM"
+  ],
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "freeze_mm_mlp_adapter": false,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
+  "mm_hidden_size": 1024,
+  "mm_use_im_start_end": true,
+  "mm_vision_select_layer": -2,
+  "mm_vision_tower": "/mnt/lustre/share_data/chenkeqin/VG/ckpt/openai/clip-vit-large-patch14",
+  "model_type": "llava",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "pad_token_id": -1,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.0",
+  "tune_mm_mlp_adapter": false,
+  "use_cache": false,
+  "use_mm_proj": true,
+  "vocab_size": 32003
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.29.0"
+}

pytorch_model.bin.index.json

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