Robotics
PyTorch
Cosmos
xperience10m_task_baseline_suite
embodied-ai
multimodal
xperience-10m
baseline
evaluation
qwen3-omni
Instructions to use cy0307/ropedia-xperience-10m-task-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use cy0307/ropedia-xperience-10m-task-baselines with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "status": "pass", | |
| "summary": { | |
| "run_id": "xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu", | |
| "dataset_run_id": "xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu", | |
| "train_run_id": "xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6", | |
| "eval_run_id": "xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6_eval", | |
| "backbone": "qwen3_omni_lora", | |
| "backbone_status": "implemented", | |
| "required_stage": "training", | |
| "workspace": "<project>", | |
| "manifest": { | |
| "path": "<project>/results/omni_finetune/xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu/episode_manifest.json", | |
| "episode_count": 128, | |
| "split_counts": { | |
| "test": 16, | |
| "train": 96, | |
| "val": 16 | |
| }, | |
| "session_leakage": [] | |
| }, | |
| "dataset": { | |
| "dataset_dir": "<project>/results/omni_finetune/xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_dataset", | |
| "manifest_path": "<project>/results/omni_finetune/xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_dataset/dataset_manifest.json", | |
| "dataset_path": "<project>/results/omni_finetune/xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_dataset/dataset.jsonl", | |
| "manifest_num_samples": 3808, | |
| "row_count": 3808, | |
| "sample_split_counts": { | |
| "train": 2848, | |
| "val": 512, | |
| "test": 448 | |
| }, | |
| "episode_split_counts": { | |
| "train": 89, | |
| "val": 16, | |
| "test": 14 | |
| }, | |
| "skipped_episodes": 9 | |
| }, | |
| "training": { | |
| "train_dir": "<project>/results/omni_finetune/xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6", | |
| "checkpoint_candidates": [ | |
| "<project>/checkpoints/xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6/adapter_lora", | |
| "<project>/checkpoints/xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6_lora/adapter_lora" | |
| ], | |
| "checkpoint_dir": "<project>/checkpoints/xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6/adapter_lora", | |
| "num_processes": 8, | |
| "num_train_samples": 2848, | |
| "num_val_samples": 0, | |
| "history_len": 1, | |
| "checkpoint_dir_recorded": "<project>/checkpoints/xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6/adapter_lora" | |
| } | |
| }, | |
| "issues": [] | |
| } | |