results
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.3452
- Accuracy: 0.5
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 40 | 1.5498 | 0.4188 |
| 1.7801 | 2.0 | 80 | 1.4184 | 0.4938 |
| 0.8728 | 3.0 | 120 | 1.3452 | 0.5 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 4
Inference API (serverless) is not available, repository is disabled.
Model tree for michellewidjaja/EmotionAgeModel
Base model
google/vit-base-patch16-224
Finetuned
this model