Update README.md
Browse files
README.md
CHANGED
|
@@ -20,7 +20,7 @@ metrics:
|
|
| 20 |
library_name: transformers
|
| 21 |
---
|
| 22 |
|
| 23 |
-
# Model Card for CowCorpus/
|
| 24 |
|
| 25 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 26 |
This model is a **specialized fine-tune** of the general [CowCorpus-Llava](https://huggingface.co/CowCorpus/CowCorpus-llama3-llava-next-8b) model.
|
|
@@ -56,14 +56,12 @@ The model is trained on a rich, multimodal state representation:
|
|
| 56 |
|
| 57 |
For inference code, prompt templates, and setup instructions, please refer to our [GitHub Repository](https://github.com/oaishi/CowCorpus).
|
| 58 |
|
| 59 |
-
## Training Details
|
| 60 |
-
|
| 61 |
### Training Data
|
| 62 |
|
| 63 |
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 64 |
The model underwent a two-stage training process:
|
| 65 |
1. **Stage 1 (General Adaptation):** Fine-tuned on the complete CowCorpus dataset.
|
| 66 |
-
2. **Stage 2 (User Personalization):** Further fine-tuned on the **User Cluster 3 subset** of CowCorpus, consists of 26 trajectories and 131 steps.
|
| 67 |
|
| 68 |
**User Cluster 2 Characteristics:**
|
| 69 |
* **Data Source:** A subset of the collaborative trajectories specific to User Group 3.
|
|
|
|
| 20 |
library_name: transformers
|
| 21 |
---
|
| 22 |
|
| 23 |
+
# Model Card for CowCorpus/Cluster3-Takeover-Llava
|
| 24 |
|
| 25 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 26 |
This model is a **specialized fine-tune** of the general [CowCorpus-Llava](https://huggingface.co/CowCorpus/CowCorpus-llama3-llava-next-8b) model.
|
|
|
|
| 56 |
|
| 57 |
For inference code, prompt templates, and setup instructions, please refer to our [GitHub Repository](https://github.com/oaishi/CowCorpus).
|
| 58 |
|
|
|
|
|
|
|
| 59 |
### Training Data
|
| 60 |
|
| 61 |
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 62 |
The model underwent a two-stage training process:
|
| 63 |
1. **Stage 1 (General Adaptation):** Fine-tuned on the complete CowCorpus dataset.
|
| 64 |
+
2. **Stage 2 (User Personalization):** Further fine-tuned on the **User Cluster 3 subset** of CowCorpus, consists of 26 trajectories and 131 steps.
|
| 65 |
|
| 66 |
**User Cluster 2 Characteristics:**
|
| 67 |
* **Data Source:** A subset of the collaborative trajectories specific to User Group 3.
|