---
library_name: transformers
license: bsd-3-clause
base_model: Salesforce/blip-image-captioning-large
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: blip-image-captioning-large-shyam
  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-large-shyam

This model is a fine-tuned version of [Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2169
- Wer Score: 0.9091

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 6.7457        | 5.0   | 50   | 3.7819          | 0.9091    |
| 1.9042        | 10.0  | 100  | 0.6590          | 0.9091    |
| 0.3114        | 15.0  | 150  | 0.2169          | 0.9091    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1