---
library_name: transformers
license: mit
base_model: Salesforce/blip2-opt-2.7b
tags:
- generated_from_trainer
model-index:
- name: blip-gqa-ft2
  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-gqa-ft2

This model is a fine-tuned version of [Salesforce/blip2-opt-2.7b](https://huggingface.co/Salesforce/blip2-opt-2.7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3643

## 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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Use OptimizerNames.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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.3951        | 1.0    | 834  | 2.3899          |
| 2.1612        | 2.0    | 1668 | 2.3136          |
| 1.9679        | 3.0    | 2502 | 2.3081          |
| 1.6637        | 4.0    | 3336 | 2.4092          |
| 1.3671        | 5.0    | 4170 | 2.5614          |
| 1.0208        | 6.0    | 5004 | 2.8319          |
| 0.7236        | 7.0    | 5838 | 3.1588          |
| 0.4731        | 8.0    | 6672 | 3.5582          |
| 0.3325        | 9.0    | 7506 | 3.9899          |
| 0.2296        | 9.9886 | 8330 | 4.3643          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.1