---
library_name: transformers
license: apache-2.0
base_model: dandelin/vilt-b32-mlm
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results_outputs
  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. -->

# results_outputs

This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9943
- Accuracy: 0.63

## 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: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5853        | 1.0   | 125  | 0.7203          | 0.92     |
| 0.7268        | 2.0   | 250  | 0.6818          | 0.92     |
| 0.6477        | 3.0   | 375  | 0.7565          | 0.715    |
| 0.2816        | 4.0   | 500  | 0.9305          | 0.7      |
| 0.0624        | 5.0   | 625  | 0.9943          | 0.63     |


### Framework versions

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