---
license: bsd-3-clause
tags:
- generated_from_trainer
model-index:
- name: blip-image-captioning-base-blip-dummy-temp-1
  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-blip-dummy-temp-1

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: 1.7117
- Wer Score: 0.4618

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 7.1762        | 3.23  | 50   | 4.4355          | 0.8626    |
| 2.7292        | 6.45  | 100  | 1.8212          | 0.7393    |
| 1.6499        | 9.68  | 150  | 1.7030          | 0.5773    |
| 1.4923        | 12.9  | 200  | 1.6767          | 0.5157    |
| 1.4285        | 16.13 | 250  | 1.6746          | 0.4752    |
| 1.3994        | 19.35 | 300  | 1.6786          | 0.4720    |
| 1.3862        | 22.58 | 350  | 1.6862          | 0.4611    |
| 1.3801        | 25.81 | 400  | 1.6925          | 0.4572    |
| 1.3764        | 29.03 | 450  | 1.6972          | 0.4590    |
| 1.3742        | 32.26 | 500  | 1.7026          | 0.4583    |
| 1.3727        | 35.48 | 550  | 1.7066          | 0.4604    |
| 1.3718        | 38.71 | 600  | 1.7087          | 0.4600    |
| 1.3712        | 41.94 | 650  | 1.7102          | 0.4597    |
| 1.3708        | 45.16 | 700  | 1.7113          | 0.4614    |
| 1.3707        | 48.39 | 750  | 1.7117          | 0.4618    |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3