Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- checkpoints/step-025000-epoch-11-loss=0.5844.pt +3 -0
- checkpoints/step-150000-epoch-67-loss=0.0934.pt +3 -0
- config.json +46 -0
- config.yaml +42 -0
- dataset_statistics.json +127 -0
- prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90+n1+b32+x7--vq_extra_tokenizer.jsonl +3 -0
- run-metrics.jsonl +1 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90+n1+b32+x7--vq_extra_tokenizer.jsonl filter=lfs diff=lfs merge=lfs -text
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checkpoints/step-025000-epoch-11-loss=0.5844.pt
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checkpoints/step-150000-epoch-67-loss=0.0934.pt
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version https://git-lfs.github.com/spec/v1
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size 5554882540
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config.json
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{
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"data_root_dir": "/hai/scratch/belkhale/datasets",
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"hf_token": ".hf_token",
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"image_aug": false,
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"is_resume": true,
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"pretrained_checkpoint": "runs/prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90+n1+b32+x7--vq_extra_tokenizer/checkpoints/step-065000-epoch-29-loss=0.4407.pt",
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"resume_epoch": 29,
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"resume_step": 65000,
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"run_id": "prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90+n1+b32+x7--vq_extra_tokenizer",
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"run_id_note": "vq_extra_tokenizer",
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"run_root_dir": "runs",
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"save_interval": 2500,
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"seed": 7,
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"trackers": [
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"jsonl",
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"wandb"
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],
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"vla": {
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"action_tokenizer": "libero_vq_extra_action_tokenizer",
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"base_vlm": "prism-qwen25-extra-dinosiglip-224px+0_5b",
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"data_mix": "libero_90",
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"enable_gradient_checkpointing": true,
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"enable_mixed_precision_training": true,
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"epochs": 1000,
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"expected_world_size": 8,
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"freeze_llm_backbone": false,
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"freeze_vision_backbone": false,
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"global_batch_size": 256,
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"learning_rate": 2e-05,
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"lr_scheduler_type": "constant",
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"max_grad_norm": 1.0,
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"max_steps": null,
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"per_device_batch_size": 32,
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"reduce_in_full_precision": true,
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"save_every_n_steps": 25000,
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"shuffle_buffer_size": 256000,
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"train_strategy": "fsdp-full-shard",
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"type": "prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90",
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"unfreeze_last_llm_layer": false,
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"vla_id": "prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90",
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"warmup_ratio": 0.0,
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"weight_decay": 0.0
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},
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"wandb_entity": null,
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"wandb_project": "prismatic"
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}
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config.yaml
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data_root_dir: /hai/scratch/belkhale/datasets
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hf_token: .hf_token
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image_aug: false
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is_resume: true
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pretrained_checkpoint: runs/prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90+n1+b32+x7--vq_extra_tokenizer/checkpoints/step-065000-epoch-29-loss=0.4407.pt
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resume_epoch: 29
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resume_step: 65000
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run_id: prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90+n1+b32+x7--vq_extra_tokenizer
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run_id_note: vq_extra_tokenizer
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run_root_dir: runs
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save_interval: 2500
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seed: 7
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trackers:
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- jsonl
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- wandb
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vla:
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action_tokenizer: libero_vq_extra_action_tokenizer
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base_vlm: prism-qwen25-extra-dinosiglip-224px+0_5b
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data_mix: libero_90
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enable_gradient_checkpointing: true
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enable_mixed_precision_training: true
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epochs: 1000
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expected_world_size: 8
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freeze_llm_backbone: false
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freeze_vision_backbone: false
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global_batch_size: 256
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learning_rate: 2.0e-05
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lr_scheduler_type: constant
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max_grad_norm: 1.0
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max_steps: null
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per_device_batch_size: 32
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reduce_in_full_precision: true
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save_every_n_steps: 25000
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shuffle_buffer_size: 256000
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train_strategy: fsdp-full-shard
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type: prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90
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unfreeze_last_llm_layer: false
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vla_id: prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90
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warmup_ratio: 0.0
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weight_decay: 0.0
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wandb_entity: null
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wandb_project: prismatic
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dataset_statistics.json
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prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90+n1+b32+x7--vq_extra_tokenizer.jsonl
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:80952c0854fd4216968dbbbd72b52187a28a79fc4996f05b55fa99cb234edb35
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size 50204058
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run-metrics.jsonl
ADDED
@@ -0,0 +1 @@
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{"hparams": {"data_root_dir": "/hai/scratch/belkhale/datasets", "hf_token": ".hf_token", "image_aug": false, "is_resume": true, "pretrained_checkpoint": "runs/prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90+n1+b32+x7--vq_extra_tokenizer/checkpoints/step-065000-epoch-29-loss=0.4407.pt", "resume_epoch": 29, "resume_step": 65000, "run_id": "prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90+n1+b32+x7--vq_extra_tokenizer", "run_id_note": "vq_extra_tokenizer", "run_root_dir": "runs", "save_interval": 2500, "seed": 7, "trackers": ["jsonl", "wandb"], "vla": {"action_tokenizer": "libero_vq_extra_action_tokenizer", "base_vlm": "prism-qwen25-extra-dinosiglip-224px+0_5b", "data_mix": "libero_90", "enable_gradient_checkpointing": true, "enable_mixed_precision_training": true, "epochs": 1000, "expected_world_size": 8, "freeze_llm_backbone": false, "freeze_vision_backbone": false, "global_batch_size": 256, "learning_rate": 2e-05, "lr_scheduler_type": "constant", "max_grad_norm": 1.0, "max_steps": null, "per_device_batch_size": 32, "reduce_in_full_precision": true, "save_every_n_steps": 25000, "shuffle_buffer_size": 256000, "train_strategy": "fsdp-full-shard", "type": "prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90", "unfreeze_last_llm_layer": false, "vla_id": "prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90", "warmup_ratio": 0.0, "weight_decay": 0.0}, "wandb_entity": null, "wandb_project": "prismatic"}, "run_id": "prism-qwen25-dinosiglip-224px+0_5b+mx-libero-90+n1+b32+x7--vq_extra_tokenizer"}
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