---
license: bsd-3-clause
base_model: Salesforce/blip-image-captioning-base
tags:
- generated_from_trainer
model-index:
- name: blip-image-captioning-base-kag100
  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-kag100

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: 0.1444
- Wer Score: 0.7172

## 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: 1
- eval_batch_size: 1
- 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 | Wer Score |
|:-------------:|:------:|:----:|:---------------:|:---------:|
| 0.8613        | 0.9259 | 500  | 0.1123          | 0.7625    |
| 0.079         | 1.8519 | 1000 | 0.1131          | 0.7234    |
| 0.055         | 2.7778 | 1500 | 0.1228          | 0.7312    |
| 0.0389        | 3.7037 | 2000 | 0.1313          | 0.7531    |
| 0.0277        | 4.6296 | 2500 | 0.1360          | 0.7469    |
| 0.0205        | 5.5556 | 3000 | 0.1367          | 0.7188    |
| 0.0167        | 6.4815 | 3500 | 0.1410          | 0.7188    |
| 0.0154        | 7.4074 | 4000 | 0.1405          | 0.7188    |
| 0.0145        | 8.3333 | 4500 | 0.1435          | 0.7172    |
| 0.0137        | 9.2593 | 5000 | 0.1444          | 0.7172    |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1