---
library_name: transformers
license: bsd-3-clause
base_model: Salesforce/blip-vqa-base
tags:
- generated_from_trainer
model-index:
- name: blip-vqa-rad-checkpoints
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# blip-vqa-rad-checkpoints

This model is a fine-tuned version of [Salesforce/blip-vqa-base](https://huggingface.co/Salesforce/blip-vqa-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2937

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5519        | 1.0   | 897  | 3.2781          |
| 3.3939        | 2.0   | 1794 | 3.1030          |
| 2.8817        | 3.0   | 2691 | 3.1648          |
| 2.4931        | 4.0   | 3588 | 3.1978          |
| 2.5096        | 5.0   | 4485 | 3.2937          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0