---
library_name: transformers
license: apache-2.0
datasets:
- ncauchi1/general_cv_dataset_1
base_model:
- Qwen/Qwen2.5-VL-3B-Instruct
---

# Model Card for Model ID

Second version of VLLM fine tuned to answer general questions about cyclic voltammographs.
Evaluated on bxw315-umd/general-cv-questions


## Uses

Used to answer general multiple choice questions about cyclic voltammogram graphs


## Training Details
Trained on ncauchi1/general_questions_dataset with 12k samples. Logs found here:
[https://wandb.ai/ncauchi-university-of-maryland/huggingface/runs/i3455num/logs]

**Training dataset consists of a mix of data:**  
### 10k Pointing samples  
- Given graphs with a range 2-4 CVs and points out all peaks in voltage/currents  
- *graphs do not have legends*
### 2k Question samples  
- Given question, graph, and four options  
- gives reasononing and correct answer  
- graphs are catagorized into templates and questions/reasoning are generated based on graph template  
- Graphs are generated from raw data gathered by me, consisting of CV's of Ferrocene and Tryptophan in PBS with concentrations of 0uM, 100uM and 200uM.



## Evaluation
**35% ± 5** chance to answer correct
Evaluation done on bxw315-umd/general-cv-questions, with an **15% increase in performance** over base model (35% chance to answer correct)

Error analysis reveals trying to identify features and connecting them to reasoning.
Error analysis shows model still has trouble percieving graphs correctly