---
library_name: transformers
license: bsd-3-clause
base_model: Salesforce/blip-image-captioning-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: blip-image-captioning-base-blip2
  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-image-captioning-base-blip2

This model is a fine-tuned version of [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4501
- Wer: 0.8353

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 1.1988        | 1.576  | 50   | 0.3600          | 0.8457 |
| 0.2346        | 3.128  | 100  | 0.3105          | 0.8388 |
| 0.1382        | 4.704  | 150  | 0.3111          | 0.8431 |
| 0.0779        | 6.256  | 200  | 0.3312          | 0.8388 |
| 0.0429        | 7.832  | 250  | 0.3430          | 0.8397 |
| 0.0248        | 9.384  | 300  | 0.3507          | 0.8448 |
| 0.0169        | 10.96  | 350  | 0.3602          | 0.8267 |
| 0.0113        | 12.512 | 400  | 0.3684          | 0.8448 |
| 0.0087        | 14.064 | 450  | 0.3737          | 0.8414 |
| 0.0059        | 15.64  | 500  | 0.3814          | 0.8422 |
| 0.0049        | 17.192 | 550  | 0.3762          | 0.8284 |
| 0.0036        | 18.768 | 600  | 0.3785          | 0.8388 |
| 0.0026        | 20.32  | 650  | 0.3805          | 0.8422 |
| 0.0023        | 21.896 | 700  | 0.3892          | 0.8414 |
| 0.0019        | 23.448 | 750  | 0.3901          | 0.8414 |
| 0.0016        | 25.0   | 800  | 0.3903          | 0.8371 |
| 0.0012        | 26.576 | 850  | 0.3999          | 0.8431 |
| 0.0009        | 28.128 | 900  | 0.4078          | 0.8457 |
| 0.0008        | 29.704 | 950  | 0.4049          | 0.8414 |
| 0.0008        | 31.256 | 1000 | 0.4063          | 0.8345 |
| 0.0005        | 32.832 | 1050 | 0.4133          | 0.8362 |
| 0.0004        | 34.384 | 1100 | 0.4173          | 0.8353 |
| 0.0003        | 35.96  | 1150 | 0.4238          | 0.8405 |
| 0.0003        | 37.512 | 1200 | 0.4254          | 0.8388 |
| 0.0002        | 39.064 | 1250 | 0.4263          | 0.8293 |
| 0.0001        | 40.64  | 1300 | 0.4326          | 0.8293 |
| 0.0001        | 42.192 | 1350 | 0.4376          | 0.8371 |
| 0.0001        | 43.768 | 1400 | 0.4391          | 0.8302 |
| 0.0           | 45.32  | 1450 | 0.4450          | 0.8388 |
| 0.0001        | 46.896 | 1500 | 0.4464          | 0.8328 |
| 0.0           | 48.448 | 1550 | 0.4488          | 0.8353 |
| 0.0           | 50.0   | 1600 | 0.4501          | 0.8353 |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2