metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
base_model: dandelin/vilt-b32-mlm
model-index:
- name: vilt-b32-mlm-mami
results: []
vilt-b32-mlm-mami
This model is a fine-tuned version of 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