---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: vilt-b32-mlm-mami
  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-b32-mlm-mami

This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on the MAMI dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6324
- F1: 0.7900

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6261        | 0.48  | 100  | 0.5528          | 0.7149 |
| 0.4739        | 0.96  | 200  | 0.4688          | 0.7795 |
| 0.3717        | 1.44  | 300  | 0.4479          | 0.7948 |
| 0.3705        | 1.91  | 400  | 0.4385          | 0.7924 |
| 0.253         | 2.39  | 500  | 0.5210          | 0.7956 |
| 0.2095        | 2.87  | 600  | 0.5216          | 0.7965 |
| 0.1371        | 3.35  | 700  | 0.6324          | 0.7900 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3