metadata
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-patch16-224-perros-y-gatos
results: []
vit-base-patch16-224-perros-y-gatos
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1577
- Accuracy: 1.0
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.8889 | 6 | 0.6543 | 0.5789 |
| 0.5484 | 1.9259 | 13 | 0.3385 | 0.8421 |
| 0.5484 | 2.9630 | 20 | 0.2123 | 0.9474 |
| 0.2164 | 4.0 | 27 | 0.1577 | 1.0 |
| 0.2164 | 4.8889 | 33 | 0.1404 | 1.0 |
| 0.1367 | 5.9259 | 40 | 0.1375 | 0.9474 |
| 0.1367 | 6.9630 | 47 | 0.1312 | 1.0 |
| 0.1155 | 8.0 | 54 | 0.1140 | 1.0 |
| 0.0878 | 8.8889 | 60 | 0.1107 | 1.0 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1