<!-- 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. -->
vitmae_largeFunny1
This model is a fine-tuned version of facebook/vit-mae-large on the image_folder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6812
- Accuracy: 0.6562
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6899 | 0.54 | 100 | 0.6651 | 0.5917 |
0.607 | 1.09 | 200 | 0.6458 | 0.6167 |
0.6301 | 1.63 | 300 | 0.6230 | 0.65 |
0.4838 | 2.17 | 400 | 0.6257 | 0.65 |
0.5221 | 2.72 | 500 | 0.6977 | 0.6458 |
0.4409 | 3.26 | 600 | 0.6522 | 0.6687 |
0.3685 | 3.8 | 700 | 0.6812 | 0.6562 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3