---
license: apache-2.0
base_model: dandelin/vilt-b32-mlm
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: vilt_finetuned_200
  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. -->

# vilt_finetuned_200

This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 21.0818
- Accuracy: 0.02
- F1: 0.02

## 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: 8
- 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 | Accuracy | F1   |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:----:|
| 4.1329        | 1.0   | 2678  | 9.9163          | 0.0      | 0.0  |
| 3.7352        | 2.0   | 5356  | 10.4438         | 0.0      | 0.0  |
| 2.1774        | 3.0   | 8034  | 11.5371         | 0.0      | 0.0  |
| 1.1338        | 4.0   | 10712 | 12.9686         | 0.0      | 0.0  |
| 0.6816        | 5.0   | 13390 | 15.4396         | 0.0      | 0.0  |
| 0.3725        | 6.0   | 16068 | 17.1792         | 0.01     | 0.01 |
| 0.1133        | 7.0   | 18746 | 18.8999         | 0.01     | 0.01 |
| 0.0494        | 8.0   | 21424 | 19.9610         | 0.01     | 0.01 |
| 0.0905        | 9.0   | 24102 | 20.6784         | 0.02     | 0.02 |
| 0.0749        | 10.0  | 26780 | 21.0818         | 0.02     | 0.02 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1