Upload folder using huggingface_hub
Browse files- README.md +52 -0
- adapter_config.json +50 -0
- adapter_model.safetensors +3 -0
README.md
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Coda-Robotics/OpenVLA-ER-Select-Book-LoRA
|
| 2 |
+
|
| 3 |
+
## Model Description
|
| 4 |
+
|
| 5 |
+
This is a LoRA adapter weights only (requires base OpenVLA model) of OpenVLA, fine-tuned on the select_book dataset.
|
| 6 |
+
|
| 7 |
+
## Training Details
|
| 8 |
+
|
| 9 |
+
- **Dataset:** select_book
|
| 10 |
+
- **Number of Episodes:** 479
|
| 11 |
+
- **Batch Size:** 8
|
| 12 |
+
- **Training Steps:** 20000
|
| 13 |
+
- **Learning Rate:** 2e-5
|
| 14 |
+
- **LoRA Configuration:**
|
| 15 |
+
- Rank: 32
|
| 16 |
+
- Dropout: 0.0
|
| 17 |
+
- Target Modules: all-linear
|
| 18 |
+
|
| 19 |
+
## Usage
|
| 20 |
+
|
| 21 |
+
```python
|
| 22 |
+
from transformers import AutoProcessor, AutoModelForVision2Seq
|
| 23 |
+
|
| 24 |
+
# Load the model and processor
|
| 25 |
+
processor = AutoProcessor.from_pretrained("Coda-Robotics/OpenVLA-ER-Select-Book-LoRA")
|
| 26 |
+
model = AutoModelForVision2Seq.from_pretrained("Coda-Robotics/OpenVLA-ER-Select-Book-LoRA")
|
| 27 |
+
|
| 28 |
+
# Process an image
|
| 29 |
+
image = ... # Load your image
|
| 30 |
+
inputs = processor(images=image, return_tensors="pt")
|
| 31 |
+
outputs = model.generate(**inputs)
|
| 32 |
+
text = processor.decode(outputs[0], skip_special_tokens=True)
|
| 33 |
+
```
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
## Using with PEFT
|
| 37 |
+
|
| 38 |
+
To use this adapter with the base OpenVLA model:
|
| 39 |
+
|
| 40 |
+
```python
|
| 41 |
+
from transformers import AutoProcessor, AutoModelForVision2Seq
|
| 42 |
+
from peft import PeftModel, PeftConfig
|
| 43 |
+
|
| 44 |
+
# Load the base model
|
| 45 |
+
base_model = AutoModelForVision2Seq.from_pretrained("openvla/openvla-7b")
|
| 46 |
+
|
| 47 |
+
# Load the LoRA adapter
|
| 48 |
+
adapter_model = PeftModel.from_pretrained(base_model, "{model_name}")
|
| 49 |
+
|
| 50 |
+
# Merge weights for faster inference (optional)
|
| 51 |
+
merged_model = adapter_model.merge_and_unload()
|
| 52 |
+
```
|
adapter_config.json
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "OpenVLAForActionPrediction",
|
| 5 |
+
"parent_library": "transformers_modules.openvla.openvla-7b.31f090d05236101ebfc381b61c674dd4746d4ce0.modeling_prismatic"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "openvla/openvla-7b",
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"r": 32,
|
| 27 |
+
"rank_pattern": {},
|
| 28 |
+
"revision": null,
|
| 29 |
+
"target_modules": [
|
| 30 |
+
"gate_proj",
|
| 31 |
+
"v_proj",
|
| 32 |
+
"qkv",
|
| 33 |
+
"attn.proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"q_proj",
|
| 36 |
+
"fc1",
|
| 37 |
+
"k_proj",
|
| 38 |
+
"attn_pool.proj",
|
| 39 |
+
"fc2",
|
| 40 |
+
"down_proj",
|
| 41 |
+
"fc3",
|
| 42 |
+
"up_proj",
|
| 43 |
+
"q",
|
| 44 |
+
"kv"
|
| 45 |
+
],
|
| 46 |
+
"task_type": null,
|
| 47 |
+
"trainable_token_indices": null,
|
| 48 |
+
"use_dora": false,
|
| 49 |
+
"use_rslora": false
|
| 50 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bbafa2881d7852f9ae8e5ef39d49f394fb7d08be1b211f9cfbcdadf8cae87083
|
| 3 |
+
size 438387152
|