--- license: apache-2.0 tags: - generated_from_trainer metrics: - f1 model-index: - name: vilt-b32-mlm-mami results: [] --- # 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 None dataset. It achieves the following results on the evaluation set: - Loss: 0.8414 - F1: 0.7822 ## 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: constant_with_warmup - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 10.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 0.5835 | 0.96 | 200 | 0.5061 | 0.7544 | | 0.4219 | 1.91 | 400 | 0.4394 | 0.7948 | | 0.2613 | 2.87 | 600 | 0.4886 | 0.7897 | | 0.1399 | 3.83 | 800 | 0.6446 | 0.7892 | | 0.0707 | 4.78 | 1000 | 0.8414 | 0.7822 | ### Framework versions - Transformers 4.30.2 - Pytorch 2.0.1+cu117 - Datasets 2.12.0 - Tokenizers 0.13.3