Upload folder using huggingface_hub
Browse files- obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/checkpoints/latest-checkpoint.pt +3 -0
- obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/checkpoints/latest-optimizer.pt +3 -0
- obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/checkpoints/latest-scheduler.pt +3 -0
- obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/config.json +74 -0
- obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/config.yaml +67 -0
- obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/notes.txt +3 -0
- obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/obelics+phi3-3b-continue-training-hq_35+stage-pretrain+x7.jsonl +0 -0
- obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/run-metrics.jsonl +1 -0
obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/checkpoints/latest-checkpoint.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:92cd948b279a905508cb483313e8b868afea238da49812dafc3094bf34283d59
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size 15336322587
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obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/checkpoints/latest-optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:324015c252de171b474d90a0b3892c50e9c90b49315a81b59018a647c292877c
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size 30672706842
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obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/checkpoints/latest-scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ba4d4ded2fe863df5701c02896d2a60bb9e25903168be9a20a3a5a9fe9e6ba5
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size 1192
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obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/config.json
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{
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"dataset": {
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"align_stage_components": [
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"download/llava-laion-cc-sbu-558k/chat.json",
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"download/llava-laion-cc-sbu-558k"
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],
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"dataset_id": "obelics",
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"dataset_resampled": true,
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"dataset_root_dir": "/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/datacomp/datacomp_hq_single_pkl_pil:/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/OBELICS/obelics_hq_35_single_pkl_pil:/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/synthdog-en/synthdog_single_pkl_pil/",
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"finetune_stage_components": [
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"/fsx-training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/llava/llava_v1_5_mix665k.json",
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"/fsx-training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/llava/data"
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],
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"max_num_images": 6,
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"min_num_images": 1,
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"train_num_samples": 2441408,
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"type": "obelics",
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"workers": 4
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},
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"model": {
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"align_epochs": 1,
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"align_global_batch_size": 256,
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"align_learning_rate": 0.001,
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"align_lr_scheduler_type": "linear-warmup+cosine-decay",
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"align_max_grad_norm": 1.0,
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"align_max_steps": null,
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"align_per_device_batch_size": 16,
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"align_train_strategy": "fsdp-shard-grad-op",
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"align_warmup_ratio": 0.03,
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"align_weight_decay": 0.0,
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"arch_specifier": "no-align+avgpool",
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"enable_gradient_checkpointing": true,
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"enable_mixed_precision_training": true,
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"finetune_epochs": 1,
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"finetune_global_batch_size": 128,
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"finetune_learning_rate": 2e-05,
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"finetune_lr_scheduler_type": "linear-warmup+cosine-decay",
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"finetune_max_grad_norm": 1.0,
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"finetune_max_steps": null,
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"finetune_per_device_batch_size": 16,
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"finetune_train_strategy": "fsdp-full-shard",
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"finetune_warmup_ratio": 0.03,
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"finetune_weight_decay": 0.1,
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"image_resize_strategy": "resize-naive",
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"llm_backbone_id": "phi3-3b",
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"llm_max_length": 4096,
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"model_id": "phi3-3b-continue-training-hq_35",
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"pretrain_epochs": 1,
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"pretrain_global_batch_size": 256,
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"pretrain_learning_rate": 5e-05,
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"pretrain_lr_scheduler_type": "linear-warmup+cosine-decay",
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"pretrain_max_grad_norm": 1.0,
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"pretrain_max_steps": 9536,
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"pretrain_per_device_batch_size": 8,
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"pretrain_train_strategy": "fsdp-full-shard",
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"pretrain_warmup_ratio": 0.03,
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"pretrain_weight_decay": 0.01,
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"reduce_in_full_precision": false,
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| 59 |
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"type": "one-stage+7b",
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"vision_backbone_id": "siglip-vit-so400m-384px"
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},
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"mount_path": "/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/models",
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| 63 |
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"pretrained_checkpoint": null,
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| 64 |
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"run_id": "obelics+phi3-3b-continue-training-hq_35+stage-pretrain+x7",
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| 65 |
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"run_root_dir": "/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/checkpoints/mllm_pretrain_checkpoints",
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"seed": 7,
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"stage": "pretrain",
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"trackers": [
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"jsonl",
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"wandb"
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],
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| 72 |
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"wandb_entity": null,
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| 73 |
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"wandb_project": "mmpretrain"
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}
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obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/config.yaml
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dataset:
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align_stage_components:
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- download/llava-laion-cc-sbu-558k/chat.json
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- download/llava-laion-cc-sbu-558k
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| 5 |
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dataset_id: obelics
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| 6 |
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dataset_resampled: true
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| 7 |
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dataset_root_dir: /fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/datacomp/datacomp_hq_single_pkl_pil:/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/OBELICS/obelics_hq_35_single_pkl_pil:/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/synthdog-en/synthdog_single_pkl_pil/
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finetune_stage_components:
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| 9 |
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- /fsx-training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/llava/llava_v1_5_mix665k.json
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- /fsx-training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/llava/data
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max_num_images: 6
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min_num_images: 1
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train_num_samples: 2441408
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type: obelics
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workers: 4
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model:
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align_epochs: 1
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align_global_batch_size: 256
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align_learning_rate: 0.001
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align_lr_scheduler_type: linear-warmup+cosine-decay
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| 21 |
+
align_max_grad_norm: 1.0
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| 22 |
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align_max_steps: null
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| 23 |
+
align_per_device_batch_size: 16
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| 24 |
+
align_train_strategy: fsdp-shard-grad-op
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| 25 |
+
align_warmup_ratio: 0.03
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| 26 |
+
align_weight_decay: 0.0
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| 27 |
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arch_specifier: no-align+avgpool
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| 28 |
+
enable_gradient_checkpointing: true
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| 29 |
+
enable_mixed_precision_training: true
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| 30 |
+
finetune_epochs: 1
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| 31 |
+
finetune_global_batch_size: 128
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+
finetune_learning_rate: 2.0e-05
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| 33 |
+
finetune_lr_scheduler_type: linear-warmup+cosine-decay
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| 34 |
+
finetune_max_grad_norm: 1.0
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| 35 |
+
finetune_max_steps: null
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| 36 |
+
finetune_per_device_batch_size: 16
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| 37 |
+
finetune_train_strategy: fsdp-full-shard
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| 38 |
+
finetune_warmup_ratio: 0.03
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| 39 |
+
finetune_weight_decay: 0.1
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| 40 |
+
image_resize_strategy: resize-naive
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| 41 |
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llm_backbone_id: phi3-3b
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| 42 |
+
llm_max_length: 4096
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| 43 |
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model_id: phi3-3b-continue-training-hq_35
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| 44 |
+
pretrain_epochs: 1
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| 45 |
+
pretrain_global_batch_size: 256
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| 46 |
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pretrain_learning_rate: 5.0e-05
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| 47 |
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pretrain_lr_scheduler_type: linear-warmup+cosine-decay
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| 48 |
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pretrain_max_grad_norm: 1.0
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| 49 |
+
pretrain_max_steps: 9536
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| 50 |
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pretrain_per_device_batch_size: 8
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| 51 |
+
pretrain_train_strategy: fsdp-full-shard
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| 52 |
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pretrain_warmup_ratio: 0.03
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| 53 |
+
pretrain_weight_decay: 0.01
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| 54 |
+
reduce_in_full_precision: false
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| 55 |
+
type: one-stage+7b
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| 56 |
+
vision_backbone_id: siglip-vit-so400m-384px
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| 57 |
+
mount_path: /fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/models
|
| 58 |
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pretrained_checkpoint: null
|
| 59 |
+
run_id: obelics+phi3-3b-continue-training-hq_35+stage-pretrain+x7
|
| 60 |
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run_root_dir: /fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/checkpoints/mllm_pretrain_checkpoints
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| 61 |
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seed: 7
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| 62 |
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stage: pretrain
|
| 63 |
+
trackers:
|
| 64 |
+
- jsonl
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| 65 |
+
- wandb
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| 66 |
+
wandb_entity: null
|
| 67 |
+
wandb_project: mmpretrain
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obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/notes.txt
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we use the joint 280k caption and interleaved data of Claude-3.5 generation to train this classifier
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then we select top30%
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the endofchunk token is addded to the corpus
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obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/obelics+phi3-3b-continue-training-hq_35+stage-pretrain+x7.jsonl
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obelics+phi3-3b-continue-training-hq-35-run1+stage-pretrain+x7/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": "obelics", "dataset_resampled": true, "dataset_root_dir": "/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/datacomp/datacomp_hq_single_pkl_pil:/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/OBELICS/obelics_hq_35_single_pkl_pil:/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/synthdog-en/synthdog_single_pkl_pil/", "finetune_stage_components": ["/fsx-training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/llava/llava_v1_5_mix665k.json", "/fsx-training/shopqa-training-fsx-prod-us-east-1/home/wzwang/data/llava/data"], "max_num_images": 6, "min_num_images": 1, "train_num_samples": 2441408, "type": "obelics", "workers": 4}, "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": "no-align+avgpool", "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": "resize-naive", "llm_backbone_id": "phi3-3b", "llm_max_length": 4096, "model_id": "phi3-3b-continue-training-hq_35", "pretrain_epochs": 1, "pretrain_global_batch_size": 256, "pretrain_learning_rate": 5e-05, "pretrain_lr_scheduler_type": "linear-warmup+cosine-decay", "pretrain_max_grad_norm": 1.0, "pretrain_max_steps": 9536, "pretrain_per_device_batch_size": 8, "pretrain_train_strategy": "fsdp-full-shard", "pretrain_warmup_ratio": 0.03, "pretrain_weight_decay": 0.01, "reduce_in_full_precision": false, "type": "one-stage+7b", "vision_backbone_id": "siglip-vit-so400m-384px"}, "mount_path": "/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/models", "pretrained_checkpoint": null, "run_id": "obelics+phi3-3b-continue-training-hq_35+stage-pretrain+x7", "run_root_dir": "/fsx-Training/shopqa-training-fsx-prod-us-east-1/home/wzwang/checkpoints/mllm_pretrain_checkpoints", "seed": 7, "stage": "pretrain", "trackers": ["jsonl", "wandb"], "wandb_entity": null, "wandb_project": "mmpretrain"}, "run_id": "obelics+phi3-3b-continue-training-hq_35+stage-pretrain+x7"}
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