Update README.md

README.md

@@ -9,14 +9,44 @@ tags:
 license: apache-2.0
 language:
 - en
+- th
 ---
 
-# Uploaded  model
+# Model Card for Model ID
 
-- **Developed by:** Teera
-- **License:** apache-2.0
-- **Finetuned from model :** Xkev/Llama-3.2V-11B-cot
+Teera/Llama-3.2v-COT-Thai is a fine-tuned model based on Llama-3.2V-11B-co, developed with inspiration from the LLaVA-CoT framework.
 
-This mllama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+The concept was introduced in **LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.**
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+## Training Details
+
+# Training Data
+
+The model is trained on the LLaVA-CoT-100k dataset, preprocess and translat to thai language. 
+
+# Training Procedure
+The model is finetuned on llama-recipes with the following settings. Using the same setting should accurately reproduce our results.
+
+| Parameter                     | Value                                             |
+|-------------------------------|---------------------------------------------------|
+| FSDP                          | enabled                                           |
+| lr                            | 1e-4                                              |
+| num_epochs                    | 1                                                 |
+| batch_size_training           | 2                                                 |
+| use_fast_kernels              | True                                              |
+| run_validation                | False                                             |
+| batching_strategy             | padding                                           |
+| context_length                | 4096                                              |
+| gradient_accumulation_steps   | 1                                                 |
+| gradient_clipping             | False                                             |
+| gradient_clipping_threshold   | 1.0                                               |
+| weight_decay                  | 0.0                                               |
+| gamma                         | 0.85                                              |
+| seed                          | 42                                                |
+| use_fp16                      | False                                             |
+| mixed_precision               | True                                              |
+
+
+## Bias, Risks, and Limitations
+
+The model may generate biased or offensive content, similar to other VLMs, due to limitations in the training data. Technically, the model's performance in aspects like instruction following still falls short of leading industry models.