Other
Transformers
Safetensors
PyTorch
English
vision-language-action
humanoid-robotics
telepathy
multimodal
robotics-control
lora
Instructions to use Veltraxor/Sigma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Veltraxor/Sigma with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Veltraxor/Sigma", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload train_args.json
Browse files
storage/sigma_lora_out/train_args.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"sigma_env": "sigma.env",
|
| 3 |
-
"output_dir": "/workspace/storage/
|
| 4 |
"base_model_id": "lerobot/pi05_base",
|
| 5 |
"load_in_4bit": false,
|
| 6 |
"torch_dtype": "bf16",
|
| 7 |
-
"dataset_id":
|
| 8 |
"split": "train",
|
| 9 |
"data_dir": "/workspace/storage/sigma_pickplace",
|
| 10 |
"hf_data_repo": "Veltraxor/Sigma",
|
|
@@ -14,7 +14,7 @@
|
|
| 14 |
"hf_cache_keep_latest": 1,
|
| 15 |
"hf_cache_dir": null,
|
| 16 |
"num_workers": 4,
|
| 17 |
-
"epochs":
|
| 18 |
"batch_size": 2,
|
| 19 |
"grad_accum": 8,
|
| 20 |
"lr": 0.0002,
|
|
@@ -31,6 +31,8 @@
|
|
| 31 |
"lambda_tau": 0.03,
|
| 32 |
"beta_mi": 0.1,
|
| 33 |
"eta_var": 0.1,
|
|
|
|
|
|
|
| 34 |
"loss_warmup_ratio": 0.4,
|
| 35 |
"lambda_sem_start": 0.2,
|
| 36 |
"lambda_intent_start": 0.2,
|
|
|
|
| 1 |
{
|
| 2 |
"sigma_env": "sigma.env",
|
| 3 |
+
"output_dir": "/workspace/storage/sigma_lora_out",
|
| 4 |
"base_model_id": "lerobot/pi05_base",
|
| 5 |
"load_in_4bit": false,
|
| 6 |
"torch_dtype": "bf16",
|
| 7 |
+
"dataset_id": "lerobot/svla_so101_pickplace",
|
| 8 |
"split": "train",
|
| 9 |
"data_dir": "/workspace/storage/sigma_pickplace",
|
| 10 |
"hf_data_repo": "Veltraxor/Sigma",
|
|
|
|
| 14 |
"hf_cache_keep_latest": 1,
|
| 15 |
"hf_cache_dir": null,
|
| 16 |
"num_workers": 4,
|
| 17 |
+
"epochs": 1,
|
| 18 |
"batch_size": 2,
|
| 19 |
"grad_accum": 8,
|
| 20 |
"lr": 0.0002,
|
|
|
|
| 31 |
"lambda_tau": 0.03,
|
| 32 |
"beta_mi": 0.1,
|
| 33 |
"eta_var": 0.1,
|
| 34 |
+
"hard_mining_ratio": 0.3,
|
| 35 |
+
"hard_mining_lambda": 1.0,
|
| 36 |
"loss_warmup_ratio": 0.4,
|
| 37 |
"lambda_sem_start": 0.2,
|
| 38 |
"lambda_intent_start": 0.2,
|