metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: animalmind-breed-classifier
results: []
language:
- pt
animalmind-breed-classifier
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: 0.5476
- Accuracy: 0.8608
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7503 | 1.0 | 515 | 1.5708 | 0.7945 |
| 0.6028 | 2.0 | 1030 | 0.7066 | 0.8554 |
| 0.2734 | 3.0 | 1545 | 0.5432 | 0.8647 |
| 0.1209 | 4.0 | 2060 | 0.5182 | 0.8610 |
| 0.0614 | 5.0 | 2575 | 0.5125 | 0.8610 |
| 0.0335 | 6.0 | 3090 | 0.5184 | 0.8654 |
| 0.0217 | 7.0 | 3605 | 0.5368 | 0.8618 |
| 0.0267 | 8.0 | 4120 | 0.5456 | 0.8593 |
| 0.0179 | 9.0 | 4635 | 0.5433 | 0.8598 |
| 0.0091 | 10.0 | 5150 | 0.5476 | 0.8608 |
Framework versions
- Transformers 5.12.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2