| # Description | |
| A Blip-2 classifier fine-tuned for classification tasks on the EasyVQA dataset. See the [github repository](https://github.com/atomwalk12/VisualQA/). | |
| If you decide to reuse this model, here are the LoRa and bnb configurations that were used for training: | |
| ```python | |
| BitsAndBytesConfig( | |
| load_in_4bit=True, | |
| bnb_4bit_quant_type="nf4", | |
| bnb_4bit_compute_dtype=torch.float32, | |
| ) | |
| LoraConfig( | |
| r=8, | |
| lora_alpha=8, | |
| lora_dropout=0.1, | |
| target_modules="all-linear", | |
| init_lora_weights="gaussian", | |
| ) | |
| ``` |