upload

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.wandb filter=lfs diff=lfs merge=lfs -text

qformer2_128/checkpoints/latest-checkpoint.pt

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+oid sha256:6d4c74b79c6a0a254825b6fd9a8a9376c0972356dc57e58f270bba29110fdbe3
+size 28822409398

qformer2_128/config.json

@@ -0,0 +1,60 @@
+{
+  "dataset": {
+    "align_stage_components": [
+      "download/llava-laion-cc-sbu-558k/chat.json",
+      "download/llava-laion-cc-sbu-558k"
+    ],
+    "dataset_id": "llava-v15",
+    "dataset_root_dir": "data",
+    "finetune_stage_components": [
+      "download/llava-v1.5-instruct/llava_v1_5_mix665k.json",
+      "download/llava-v1.5-instruct"
+    ],
+    "type": "llava-v15"
+  },
+  "hf_token": ".hf_token",
+  "max_length": 4096,
+  "model": {
+    "align_epochs": 1,
+    "align_global_batch_size": 256,
+    "align_learning_rate": 0.001,
+    "align_lr_scheduler_type": "linear-warmup+cosine-decay",
+    "align_max_grad_norm": 1.0,
+    "align_max_steps": null,
+    "align_per_device_batch_size": 16,
+    "align_train_strategy": "fsdp-shard-grad-op",
+    "align_warmup_ratio": 0.03,
+    "align_weight_decay": 0.0,
+    "arch_specifier": "qformer2_128",
+    "enable_gradient_checkpointing": true,
+    "enable_mixed_precision_training": true,
+    "finetune_epochs": 1,
+    "finetune_global_batch_size": 128,
+    "finetune_learning_rate": 2e-05,
+    "finetune_lr_scheduler_type": "linear-warmup+cosine-decay",
+    "finetune_max_grad_norm": 1.0,
+    "finetune_max_steps": null,
+    "finetune_per_device_batch_size": 16,
+    "finetune_train_strategy": "fsdp-full-shard",
+    "finetune_warmup_ratio": 0.03,
+    "finetune_weight_decay": 0.1,
+    "image_resize_strategy": "letterbox",
+    "llm_backbone_id": "vicuna-v15-7b",
+    "llm_max_length": 2048,
+    "model_id": "one-stage+7b_qformer2_128",
+    "reduce_in_full_precision": false,
+    "type": "one-stage+7b",
+    "vision_backbone_id": "clip-vit-l-336px"
+  },
+  "pretrained_checkpoint": null,
+  "run_id": "qformer2_128",
+  "run_root_dir": "runs",
+  "seed": 7,
+  "stage": "finetune",
+  "trackers": [
+    "jsonl",
+    "wandb"
+  ],
+  "wandb_entity": "lilei_stones",
+  "wandb_project": "hf-vlms"
+}

qformer2_128/config.yaml

@@ -0,0 +1,53 @@
+dataset:
+  align_stage_components:
+  - download/llava-laion-cc-sbu-558k/chat.json
+  - download/llava-laion-cc-sbu-558k
+  dataset_id: llava-v15
+  dataset_root_dir: data
+  finetune_stage_components:
+  - download/llava-v1.5-instruct/llava_v1_5_mix665k.json
+  - download/llava-v1.5-instruct
+  type: llava-v15
+hf_token: .hf_token
+max_length: 4096
+model:
+  align_epochs: 1
+  align_global_batch_size: 256
+  align_learning_rate: 0.001
+  align_lr_scheduler_type: linear-warmup+cosine-decay
+  align_max_grad_norm: 1.0
+  align_max_steps: null
+  align_per_device_batch_size: 16
+  align_train_strategy: fsdp-shard-grad-op
+  align_warmup_ratio: 0.03
+  align_weight_decay: 0.0
+  arch_specifier: qformer2_128
+  enable_gradient_checkpointing: true
+  enable_mixed_precision_training: true
+  finetune_epochs: 1
+  finetune_global_batch_size: 128
+  finetune_learning_rate: 2.0e-05
+  finetune_lr_scheduler_type: linear-warmup+cosine-decay
+  finetune_max_grad_norm: 1.0
+  finetune_max_steps: null
+  finetune_per_device_batch_size: 16
+  finetune_train_strategy: fsdp-full-shard
+  finetune_warmup_ratio: 0.03
+  finetune_weight_decay: 0.1
+  image_resize_strategy: letterbox
+  llm_backbone_id: vicuna-v15-7b
+  llm_max_length: 2048
+  model_id: one-stage+7b_qformer2_128
+  reduce_in_full_precision: false
+  type: one-stage+7b
+  vision_backbone_id: clip-vit-l-336px
+pretrained_checkpoint: null
+run_id: qformer2_128
+run_root_dir: runs
+seed: 7
+stage: finetune
+trackers:
+- jsonl
+- wandb
+wandb_entity: lilei_stones
+wandb_project: hf-vlms

qformer2_128/run-metrics.jsonl

@@ -0,0 +1 @@
+{"hparams": {"dataset": {"align_stage_components": ["download/llava-laion-cc-sbu-558k/chat.json", "download/llava-laion-cc-sbu-558k"], "dataset_id": "llava-v15", "dataset_root_dir": "data", "finetune_stage_components": ["download/llava-v1.5-instruct/llava_v1_5_mix665k.json", "download/llava-v1.5-instruct"], "type": "llava-v15"}, "hf_token": ".hf_token", "max_length": 4096, "model": {"align_epochs": 1, "align_global_batch_size": 256, "align_learning_rate": 0.001, "align_lr_scheduler_type": "linear-warmup+cosine-decay", "align_max_grad_norm": 1.0, "align_max_steps": null, "align_per_device_batch_size": 16, "align_train_strategy": "fsdp-shard-grad-op", "align_warmup_ratio": 0.03, "align_weight_decay": 0.0, "arch_specifier": "qformer2_128", "enable_gradient_checkpointing": true, "enable_mixed_precision_training": true, "finetune_epochs": 1, "finetune_global_batch_size": 128, "finetune_learning_rate": 2e-05, "finetune_lr_scheduler_type": "linear-warmup+cosine-decay", "finetune_max_grad_norm": 1.0, "finetune_max_steps": null, "finetune_per_device_batch_size": 16, "finetune_train_strategy": "fsdp-full-shard", "finetune_warmup_ratio": 0.03, "finetune_weight_decay": 0.1, "image_resize_strategy": "letterbox", "llm_backbone_id": "vicuna-v15-7b", "llm_max_length": 2048, "model_id": "one-stage+7b_qformer2_128", "reduce_in_full_precision": false, "type": "one-stage+7b", "vision_backbone_id": "clip-vit-l-336px"}, "pretrained_checkpoint": null, "run_id": "qformer2_128", "run_root_dir": "runs", "seed": 7, "stage": "finetune", "trackers": ["jsonl", "wandb"], "wandb_entity": "lilei_stones", "wandb_project": "hf-vlms"}, "run_id": "qformer2_128"}

qformer2_128/wandb/debug-internal.log

@@ -0,0 +1 @@
+run-20240312_142853-zo3nkbji/logs/debug-internal.log

qformer2_128/wandb/debug.log

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+run-20240312_142853-zo3nkbji/logs/debug.log

qformer2_128/wandb/latest-run

@@ -0,0 +1 @@
+run-20240312_142853-zo3nkbji

qformer2_128/wandb/run-20240312_142853-zo3nkbji/files/conda-environment.yaml

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+name: pvlm
+channels:
+  - pytorch
+  - nvidia
+  - defaults
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+  - pip:
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+prefix: /home/lilei/anaconda3/envs/pvlm

qformer2_128/wandb/run-20240312_142853-zo3nkbji/files/config.yaml

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+wandb_version: 1
+
+model:
+  desc: null
+  value:
+    type: one-stage+7b
+    model_id: one-stage+7b_qformer2_128
+    arch_specifier: qformer2_128
+    vision_backbone_id: clip-vit-l-336px
+    llm_backbone_id: vicuna-v15-7b
+    image_resize_strategy: letterbox
+    llm_max_length: 2048
+    align_epochs: 1
+    align_max_steps: null
+    align_global_batch_size: 256
+    align_per_device_batch_size: 16
+    align_learning_rate: 0.001
+    align_weight_decay: 0.0
+    align_max_grad_norm: 1.0
+    align_lr_scheduler_type: linear-warmup+cosine-decay
+    align_warmup_ratio: 0.03
+    align_train_strategy: fsdp-shard-grad-op
+    finetune_epochs: 1
+    finetune_max_steps: null
+    finetune_global_batch_size: 128
+    finetune_per_device_batch_size: 16
+    finetune_learning_rate: 2.0e-05
+    finetune_weight_decay: 0.1
+    finetune_max_grad_norm: 1.0
+    finetune_lr_scheduler_type: linear-warmup+cosine-decay
+    finetune_warmup_ratio: 0.03
+    finetune_train_strategy: fsdp-full-shard
+    enable_gradient_checkpointing: true
+    enable_mixed_precision_training: true
+    reduce_in_full_precision: false
+dataset:
+  desc: null
+  value:
+    type: llava-v15
+    dataset_id: llava-v15
+    align_stage_components:
+    - download/llava-laion-cc-sbu-558k/chat.json
+    - download/llava-laion-cc-sbu-558k
+    finetune_stage_components:
+    - download/llava-v1.5-instruct/llava_v1_5_mix665k.json
+    - download/llava-v1.5-instruct
+    dataset_root_dir: data
+stage:
+  desc: null
+  value: finetune
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+  value: qformer2_128
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+  value: .hf_token
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+  value:
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+  - wandb
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qformer2_128/wandb/run-20240312_142853-zo3nkbji/files/output.log

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+03/12 [14:28:59] INFO     | >> [*] Starting Training Loop                                                                               ]8;id=72103;file:///home/lilei/prismatic-vlms/scripts/pretrain.py\pretrain.py]8;;\:]8;id=880770;file:///home/lilei/prismatic-vlms/scripts/pretrain.py#226\226]8;;\
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+=>> [Global Step] 005198 =>> LR :: 0.000000 -- Loss :: 0.7976: 100%|█████████████████████████████████████████████| 5198/5198 [7:06:02<00:00,  4.68s/it]
+03/12 [21:39:13] INFO     | >> [*] Done with Training =>> Finalizing Metrics                                                            ]8;id=696414;file:///home/lilei/prismatic-vlms/scripts/pretrain.py\pretrain.py]8;;\:]8;id=68157;file:///home/lilei/prismatic-vlms/scripts/pretrain.py#230\230]8;;\

qformer2_128/wandb/run-20240312_142853-zo3nkbji/files/requirements.txt

@@ -0,0 +1,122 @@
+accelerate==0.27.2
+aiohttp==3.9.3
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+cloudpathlib==0.16.0
+confection==0.1.4
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+cycler==0.12.1
+cymem==2.0.8
+datasets==2.18.0
+deepspeed==0.13.4
+dill==0.3.8
+docker-pycreds==0.4.0
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+filelock==3.13.1
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+gitpython==3.1.42
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+hjson==3.1.0
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+install==1.3.5
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+  - download/llava-laion-cc-sbu-558k/chat.json
+  - download/llava-laion-cc-sbu-558k
+  dataset_id: llava-v15
+  dataset_root_dir: data
+  finetune_stage_components:
+  - download/llava-v1.5-instruct/llava_v1_5_mix665k.json
+  - download/llava-v1.5-instruct
+  type: llava-v15
+hf_token: .hf_token
+max_length: 4096
+model:
+  align_epochs: 1
+  align_global_batch_size: 256
+  align_learning_rate: 0.001
+  align_lr_scheduler_type: linear-warmup+cosine-decay
+  align_max_grad_norm: 1.0
+  align_max_steps: null
+  align_per_device_batch_size: 16
+  align_train_strategy: fsdp-shard-grad-op
+  align_warmup_ratio: 0.03
+  align_weight_decay: 0.0
+  arch_specifier: qformer2_256
+  enable_gradient_checkpointing: true
+  enable_mixed_precision_training: true
+  finetune_epochs: 1
+  finetune_global_batch_size: 128
+  finetune_learning_rate: 2.0e-05
+  finetune_lr_scheduler_type: linear-warmup+cosine-decay
+  finetune_max_grad_norm: 1.0
+  finetune_max_steps: null
+  finetune_per_device_batch_size: 16
+  finetune_train_strategy: fsdp-full-shard
+  finetune_warmup_ratio: 0.03
+  finetune_weight_decay: 0.1
+  image_resize_strategy: letterbox
+  llm_backbone_id: vicuna-v15-7b
+  llm_max_length: 2048
+  model_id: one-stage+7b_qformer2_256
+  reduce_in_full_precision: false
+  type: one-stage+7b
+  vision_backbone_id: clip-vit-l-336px
+pretrained_checkpoint: null
+run_id: qformer2_256
+run_root_dir: runs
+seed: 7
+stage: finetune
+trackers:
+- jsonl
+- wandb
+wandb_entity: lilei_stones
+wandb_project: hf-vlms

qformer2_256/run-metrics.jsonl

@@ -0,0 +1 @@
+{"hparams": {"dataset": {"align_stage_components": ["download/llava-laion-cc-sbu-558k/chat.json", "download/llava-laion-cc-sbu-558k"], "dataset_id": "llava-v15", "dataset_root_dir": "data", "finetune_stage_components": ["download/llava-v1.5-instruct/llava_v1_5_mix665k.json", "download/llava-v1.5-instruct"], "type": "llava-v15"}, "hf_token": ".hf_token", "max_length": 4096, "model": {"align_epochs": 1, "align_global_batch_size": 256, "align_learning_rate": 0.001, "align_lr_scheduler_type": "linear-warmup+cosine-decay", "align_max_grad_norm": 1.0, "align_max_steps": null, "align_per_device_batch_size": 16, "align_train_strategy": "fsdp-shard-grad-op", "align_warmup_ratio": 0.03, "align_weight_decay": 0.0, "arch_specifier": "qformer2_256", "enable_gradient_checkpointing": true, "enable_mixed_precision_training": true, "finetune_epochs": 1, "finetune_global_batch_size": 128, "finetune_learning_rate": 2e-05, "finetune_lr_scheduler_type": "linear-warmup+cosine-decay", "finetune_max_grad_norm": 1.0, "finetune_max_steps": null, "finetune_per_device_batch_size": 16, "finetune_train_strategy": "fsdp-full-shard", "finetune_warmup_ratio": 0.03, "finetune_weight_decay": 0.1, "image_resize_strategy": "letterbox", "llm_backbone_id": "vicuna-v15-7b", "llm_max_length": 2048, "model_id": "one-stage+7b_qformer2_256", "reduce_in_full_precision": false, "type": "one-stage+7b", "vision_backbone_id": "clip-vit-l-336px"}, "pretrained_checkpoint": null, "run_id": "qformer2_256", "run_root_dir": "runs", "seed": 7, "stage": "finetune", "trackers": ["jsonl", "wandb"], "wandb_entity": "lilei_stones", "wandb_project": "hf-vlms"}, "run_id": "qformer2_256"}

qformer2_256/wandb/debug-internal.log

@@ -0,0 +1 @@
+run-20240312_142903-yrs4wcl6/logs/debug-internal.log

qformer2_256/wandb/debug.log

@@ -0,0 +1 @@
+run-20240312_142903-yrs4wcl6/logs/debug.log

qformer2_256/wandb/latest-run

@@ -0,0 +1 @@
+run-20240312_142903-yrs4wcl6

qformer2_256/wandb/run-20240312_142903-yrs4wcl6/files/conda-environment.yaml

@@ -0,0 +1,194 @@
+name: pvlm
+channels:
+  - pytorch
+  - nvidia
+  - defaults
+dependencies:
+  - _libgcc_mutex=0.1=main
+  - _openmp_mutex=5.1=1_gnu
+  - blas=1.0=mkl
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+  - certifi=2024.2.2=py310h06a4308_0
+  - charset-normalizer=2.0.4=pyhd3eb1b0_0
+  - cuda-cudart=11.8.89=0
+  - cuda-cupti=11.8.87=0
+  - cuda-libraries=11.8.0=0
+  - cuda-nvrtc=11.8.89=0
+  - cuda-nvtx=11.8.86=0
+  - cuda-runtime=11.8.0=0
+  - ffmpeg=4.3=hf484d3e_0
+  - filelock=3.13.1=py310h06a4308_0
+  - freetype=2.12.1=h4a9f257_0
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+  - gmpy2=2.1.2=py310heeb90bb_0
+  - gnutls=3.6.15=he1e5248_0
+  - idna=3.4=py310h06a4308_0
+  - intel-openmp=2023.1.0=hdb19cb5_46306
+  - jinja2=3.1.3=py310h06a4308_0
+  - jpeg=9e=h5eee18b_1
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+  - lcms2=2.12=h3be6417_0
+  - ld_impl_linux-64=2.38=h1181459_1
+  - lerc=3.0=h295c915_0
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+  - libpng=1.6.39=h5eee18b_0
+  - libstdcxx-ng=11.2.0=h1234567_1
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+  - libunistring=0.9.10=h27cfd23_0
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+  - pillow=10.2.0=py310h5eee18b_0
+  - pip=23.3.1=py310h06a4308_0
+  - python=3.10.13=h955ad1f_0
+  - pytorch=2.2.1=py3.10_cuda11.8_cudnn8.7.0_0
+  - pytorch-cuda=11.8=h7e8668a_5
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+  - torchaudio=2.2.1=py310_cu118
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+  - typing_extensions=4.9.0=py310h06a4308_1
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+  - xz=5.4.5=h5eee18b_0
+  - yaml=0.2.5=h7b6447c_0
+  - zlib=1.2.13=h5eee18b_0
+  - zstd=1.5.5=hc292b87_0
+  - pip:
+      - accelerate==0.27.2
+      - aiohttp==3.9.3
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+      - annotated-types==0.6.0
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+      - xxhash==3.4.1
+      - yarl==1.9.4
+prefix: /home/lilei/anaconda3/envs/pvlm

qformer2_256/wandb/run-20240312_142903-yrs4wcl6/files/config.yaml

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+wandb_version: 1
+
+model:
+  desc: null
+  value:
+    type: one-stage+7b
+    model_id: one-stage+7b_qformer2_256
+    arch_specifier: qformer2_256
+    vision_backbone_id: clip-vit-l-336px
+    llm_backbone_id: vicuna-v15-7b
+    image_resize_strategy: letterbox
+    llm_max_length: 2048
+    align_epochs: 1
+    align_max_steps: null
+    align_global_batch_size: 256
+    align_per_device_batch_size: 16
+    align_learning_rate: 0.001
+    align_weight_decay: 0.0
+    align_max_grad_norm: 1.0
+    align_lr_scheduler_type: linear-warmup+cosine-decay
+    align_warmup_ratio: 0.03
+    align_train_strategy: fsdp-shard-grad-op
+    finetune_epochs: 1
+    finetune_max_steps: null
+    finetune_global_batch_size: 128
+    finetune_per_device_batch_size: 16
+    finetune_learning_rate: 2.0e-05
+    finetune_weight_decay: 0.1
+    finetune_max_grad_norm: 1.0
+    finetune_lr_scheduler_type: linear-warmup+cosine-decay
+    finetune_warmup_ratio: 0.03
+    finetune_train_strategy: fsdp-full-shard
+    enable_gradient_checkpointing: true
+    enable_mixed_precision_training: true
+    reduce_in_full_precision: false
+dataset:
+  desc: null
+  value:
+    type: llava-v15
+    dataset_id: llava-v15
+    align_stage_components:
+    - download/llava-laion-cc-sbu-558k/chat.json
+    - download/llava-laion-cc-sbu-558k
+    finetune_stage_components:
+    - download/llava-v1.5-instruct/llava_v1_5_mix665k.json
+    - download/llava-v1.5-instruct
+    dataset_root_dir: data
+stage:
+  desc: null
+  value: finetune
+pretrained_checkpoint:
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+  value: null
+run_id:
+  desc: null
+  value: qformer2_256
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+  value: runs
+seed:
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+  value: 7
+hf_token:
+  desc: null
+  value: .hf_token
+trackers:
+  desc: null
+  value:
+  - jsonl
+  - wandb
+wandb_project:
+  desc: null
+  value: hf-vlms
+wandb_entity:
+  desc: null
+  value: lilei_stones
+max_length:
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+  value: 4096
+_wandb:
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qformer2_256/wandb/run-20240312_142903-yrs4wcl6/files/output.log

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+03/12 [14:29:13] INFO     | >> [*] Starting Training Loop                                                                               ]8;id=72103;file:///home/lilei/prismatic-vlms/scripts/pretrain.py\pretrain.py]8;;\:]8;id=880770;file:///home/lilei/prismatic-vlms/scripts/pretrain.py#226\226]8;;\
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+=>> [Global Step] 005198 =>> LR :: 0.000000 -- Loss :: 0.8001: 100%|█████████████████████████████████████████████| 5198/5198 [7:52:38<00:00,  5.07s/it]
+03/12 [22:26:21] INFO     | >> [*] Done with Training =>> Finalizing Metrics                                                            ]8;id=696414;file:///home/lilei/prismatic-vlms/scripts/pretrain.py\pretrain.py]8;;\:]8;id=68157;file:///home/lilei/prismatic-vlms/scripts/pretrain.py#230\230]8;;\

qformer2_256/wandb/run-20240312_142903-yrs4wcl6/files/requirements.txt

@@ -0,0 +1,122 @@
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qformer2_256/wandb/run-20240312_142903-yrs4wcl6/files/wandb-metadata.json

@@ -0,0 +1,1360 @@
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+        "qformer2_256"
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+    "state": "running",
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+    "codePathLocal": "scripts/pretrain.py",
+    "codePath": "scripts/pretrain.py",
+    "git": {
+        "remote": "https://github.com/TRI-ML/prismatic-vlms.git",
+        "commit": "b1c33c284c6e76d908c29e5545b00f5b8b4c601f"
+    },
+    "email": "tobiaslee@qq.com",
+    "root": "/home/lilei/prismatic-vlms",
+    "host": "compute-permanent-node-824",
+    "username": "lilei",
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qformer2_32/config.json

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+{
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+      "download/llava-laion-cc-sbu-558k"
+    ],
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+    "dataset_root_dir": "data",
+    "finetune_stage_components": [
+      "download/llava-v1.5-instruct/llava_v1_5_mix665k.json",
+      "download/llava-v1.5-instruct"
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+    "type": "llava-v15"
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+    "model_id": "one-stage+7b_qformer2_32",
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+  "trackers": [
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+  "wandb_project": "hf-vlms"
+}

qformer2_32/config.yaml

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+dataset:
+  align_stage_components:
+  - download/llava-laion-cc-sbu-558k/chat.json
+  - download/llava-laion-cc-sbu-558k
+  dataset_id: llava-v15
+  dataset_root_dir: data
+  finetune_stage_components:
+  - download/llava-v1.5-instruct/llava_v1_5_mix665k.json
+  - download/llava-v1.5-instruct
+  type: llava-v15
+hf_token: .hf_token
+max_length: 4096
+model:
+  align_epochs: 1
+  align_global_batch_size: 256
+  align_learning_rate: 0.001
+  align_lr_scheduler_type: linear-warmup+cosine-decay
+  align_max_grad_norm: 1.0
+  align_max_steps: null
+  align_per_device_batch_size: 16
+  align_train_strategy: fsdp-shard-grad-op
+  align_warmup_ratio: 0.03
+  align_weight_decay: 0.0
+  arch_specifier: qformer2_32
+  enable_gradient_checkpointing: true
+  enable_mixed_precision_training: true
+  finetune_epochs: 1
+  finetune_global_batch_size: 128
+  finetune_learning_rate: 2.0e-05
+  finetune_lr_scheduler_type: linear-warmup+cosine-decay
+  finetune_max_grad_norm: 1.0
+  finetune_max_steps: null
+  finetune_per_device_batch_size: 16
+  finetune_train_strategy: fsdp-full-shard
+  finetune_warmup_ratio: 0.03
+  finetune_weight_decay: 0.1
+  image_resize_strategy: letterbox
+  llm_backbone_id: vicuna-v15-7b
+  llm_max_length: 2048
+  model_id: one-stage+7b_qformer2_32
+  reduce_in_full_precision: false
+  type: one-stage+7b
+  vision_backbone_id: clip-vit-l-336px
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+run_id: qformer2_32
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+seed: 7
+stage: finetune
+trackers:
+- jsonl
+- wandb
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+wandb_project: hf-vlms

qformer2_32/run-metrics.jsonl

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+{"hparams": {"dataset": {"align_stage_components": ["download/llava-laion-cc-sbu-558k/chat.json", "download/llava-laion-cc-sbu-558k"], "dataset_id": "llava-v15", "dataset_root_dir": "data", "finetune_stage_components": ["download/llava-v1.5-instruct/llava_v1_5_mix665k.json", "download/llava-v1.5-instruct"], "type": "llava-v15"}, "hf_token": ".hf_token", "max_length": 4096, "model": {"align_epochs": 1, "align_global_batch_size": 256, "align_learning_rate": 0.001, "align_lr_scheduler_type": "linear-warmup+cosine-decay", "align_max_grad_norm": 1.0, "align_max_steps": null, "align_per_device_batch_size": 16, "align_train_strategy": "fsdp-shard-grad-op", "align_warmup_ratio": 0.03, "align_weight_decay": 0.0, "arch_specifier": "qformer2_32", "enable_gradient_checkpointing": true, "enable_mixed_precision_training": true, "finetune_epochs": 1, "finetune_global_batch_size": 128, "finetune_learning_rate": 2e-05, "finetune_lr_scheduler_type": "linear-warmup+cosine-decay", "finetune_max_grad_norm": 1.0, "finetune_max_steps": null, "finetune_per_device_batch_size": 16, "finetune_train_strategy": "fsdp-full-shard", "finetune_warmup_ratio": 0.03, "finetune_weight_decay": 0.1, "image_resize_strategy": "letterbox", "llm_backbone_id": "vicuna-v15-7b", "llm_max_length": 2048, "model_id": "one-stage+7b_qformer2_32", "reduce_in_full_precision": false, "type": "one-stage+7b", "vision_backbone_id": "clip-vit-l-336px"}, "pretrained_checkpoint": null, "run_id": "qformer2_32", "run_root_dir": "runs", "seed": 7, "stage": "finetune", "trackers": ["jsonl", "wandb"], "wandb_entity": "lilei_stones", "wandb_project": "hf-vlms"}, "run_id": "qformer2_32"}

qformer2_32/wandb/debug-internal.log

@@ -0,0 +1 @@
+run-20240312_142855-srovbvi2/logs/debug-internal.log

qformer2_32/wandb/debug.log

@@ -0,0 +1 @@
+run-20240312_142855-srovbvi2/logs/debug.log

qformer2_32/wandb/latest-run

@@ -0,0 +1 @@
+run-20240312_142855-srovbvi2

qformer2_32/wandb/run-20240312_142855-srovbvi2/files/conda-environment.yaml

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+name: pvlm
+channels:
+  - pytorch
+  - nvidia
+  - defaults
+dependencies:
+  - _libgcc_mutex=0.1=main
+  - _openmp_mutex=5.1=1_gnu
+  - blas=1.0=mkl
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+  - certifi=2024.2.2=py310h06a4308_0
+  - charset-normalizer=2.0.4=pyhd3eb1b0_0
+  - cuda-cudart=11.8.89=0
+  - cuda-cupti=11.8.87=0
+  - cuda-libraries=11.8.0=0
+  - cuda-nvrtc=11.8.89=0
+  - cuda-nvtx=11.8.86=0
+  - cuda-runtime=11.8.0=0
+  - ffmpeg=4.3=hf484d3e_0
+  - filelock=3.13.1=py310h06a4308_0
+  - freetype=2.12.1=h4a9f257_0
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+  - idna=3.4=py310h06a4308_0
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+  - jinja2=3.1.3=py310h06a4308_0
+  - jpeg=9e=h5eee18b_1
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+  - ld_impl_linux-64=2.38=h1181459_1
+  - lerc=3.0=h295c915_0
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+  - pytorch-cuda=11.8=h7e8668a_5
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+  - zlib=1.2.13=h5eee18b_0
+  - zstd=1.5.5=hc292b87_0
+  - pip:
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+prefix: /home/lilei/anaconda3/envs/pvlm

qformer2_32/wandb/run-20240312_142855-srovbvi2/files/config.yaml

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+wandb_version: 1
+
+model:
+  desc: null
+  value:
+    type: one-stage+7b
+    model_id: one-stage+7b_qformer2_32
+    arch_specifier: qformer2_32
+    vision_backbone_id: clip-vit-l-336px
+    llm_backbone_id: vicuna-v15-7b
+    image_resize_strategy: letterbox
+    llm_max_length: 2048
+    align_epochs: 1
+    align_max_steps: null
+    align_global_batch_size: 256
+    align_per_device_batch_size: 16
+    align_learning_rate: 0.001
+    align_weight_decay: 0.0
+    align_max_grad_norm: 1.0
+    align_lr_scheduler_type: linear-warmup+cosine-decay
+    align_warmup_ratio: 0.03
+    align_train_strategy: fsdp-shard-grad-op
+    finetune_epochs: 1
+    finetune_max_steps: null
+    finetune_global_batch_size: 128
+    finetune_per_device_batch_size: 16
+    finetune_learning_rate: 2.0e-05
+    finetune_weight_decay: 0.1
+    finetune_max_grad_norm: 1.0
+    finetune_lr_scheduler_type: linear-warmup+cosine-decay
+    finetune_warmup_ratio: 0.03
+    finetune_train_strategy: fsdp-full-shard
+    enable_gradient_checkpointing: true
+    enable_mixed_precision_training: true
+    reduce_in_full_precision: false
+dataset:
+  desc: null
+  value:
+    type: llava-v15
+    dataset_id: llava-v15
+    align_stage_components:
+    - download/llava-laion-cc-sbu-558k/chat.json
+    - download/llava-laion-cc-sbu-558k
+    finetune_stage_components:
+    - download/llava-v1.5-instruct/llava_v1_5_mix665k.json
+    - download/llava-v1.5-instruct
+    dataset_root_dir: data
+stage:
+  desc: null
+  value: finetune
+pretrained_checkpoint:
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+  value: null
+run_id:
+  desc: null
+  value: qformer2_32
+run_root_dir:
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+  value: runs
+seed:
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+  value: 7
+hf_token:
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+  value: .hf_token
+trackers:
+  desc: null
+  value:
+  - jsonl
+  - wandb
+wandb_project:
+  desc: null
+  value: hf-vlms
+wandb_entity:
+  desc: null
+  value: lilei_stones
+max_length:
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+  value: 4096
+_wandb:
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+    cli_version: 0.16.3
+    framework: huggingface
+    huggingface_version: 4.38.1
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+    start_time: 1710253735.064287
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+      8:
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qformer2_32/wandb/run-20240312_142855-srovbvi2/files/output.log

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+
+03/12 [14:29:00] INFO     | >> [*] Starting Training Loop                                                                               ]8;id=72103;file:///home/lilei/prismatic-vlms/scripts/pretrain.py\pretrain.py]8;;\:]8;id=880770;file:///home/lilei/prismatic-vlms/scripts/pretrain.py#226\226]8;;\
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+=>> [Global Step] 005198 =>> LR :: 0.000000 -- Loss :: 0.7955: 100%|█████████████████████████████████████████████| 5198/5198 [6:30:45<00:00,  4.12s/it]
+03/12 [21:04:14] INFO     | >> [*] Done with Training =>> Finalizing Metrics                                                            ]8;id=696414;file:///home/lilei/prismatic-vlms/scripts/pretrain.py\pretrain.py]8;;\:]8;id=68157;file:///home/lilei/prismatic-vlms/scripts/pretrain.py#230\230]8;;\

qformer2_32/wandb/run-20240312_142855-srovbvi2/files/requirements.txt

@@ -0,0 +1,122 @@
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qformer2_32/wandb/run-20240312_142855-srovbvi2/files/wandb-metadata.json

@@ -0,0 +1,1360 @@
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