---
license: bsd-3-clause
base_model: Salesforce/blip-vqa-base
tags:
- generated_from_trainer
model-index:
- name: blip_finetuned_fashion
  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_finetuned_fashion

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: 0.0916

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.4382        | 1.0   | 28   | 8.7410          |
| 5.7906        | 2.0   | 56   | 4.4909          |
| 2.6817        | 3.0   | 84   | 1.9184          |
| 0.6839        | 4.0   | 112  | 0.4660          |
| 0.1304        | 5.0   | 140  | 0.1403          |
| 0.0621        | 6.0   | 168  | 0.1171          |
| 0.0322        | 7.0   | 196  | 0.0961          |
| 0.0178        | 8.0   | 224  | 0.0963          |
| 0.0119        | 9.0   | 252  | 0.0918          |
| 0.0088        | 10.0  | 280  | 0.0916          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2