| --- |
| 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: 0.5796 |
| - F1: 0.7899 |
|
|
| ## 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: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.6898 | 0.48 | 100 | 0.6631 | 0.6076 | |
| | 0.5824 | 0.96 | 200 | 0.5055 | 0.7545 | |
| | 0.4306 | 1.44 | 300 | 0.4586 | 0.7861 | |
| | 0.4207 | 1.91 | 400 | 0.4439 | 0.7927 | |
| | 0.3055 | 2.39 | 500 | 0.4912 | 0.7949 | |
| | 0.2582 | 2.87 | 600 | 0.4921 | 0.7873 | |
| | 0.1875 | 3.35 | 700 | 0.5796 | 0.7899 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.30.2 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
| |
