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vitmae_largeFunny8
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: 0.7671
- Accuracy: 0.6724
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 |
|---|---|---|---|---|
| 0.6118 | 0.53 | 100 | 0.6690 | 0.5846 |
| 0.5325 | 1.06 | 200 | 0.6718 | 0.6167 |
| 0.5287 | 1.59 | 300 | 0.6752 | 0.6552 |
| 0.4743 | 2.12 | 400 | 0.7116 | 0.6381 |
| 0.5245 | 2.65 | 500 | 0.7786 | 0.6510 |
| 0.3265 | 3.17 | 600 | 0.7442 | 0.6638 |
| 0.3792 | 3.7 | 700 | 0.7671 | 0.6724 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
