metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- 3_class
- ViT
- generated_from_trainer
model-index:
- name: ViT_model_output
results: []
ViT_model_output
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the lewtun/dog_food dataset. It achieves the following results on the evaluation set:
- Loss: 0.4552
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 36 | 0.4552 |
| No log | 2.0 | 72 | 0.1703 |
| No log | 3.0 | 108 | 0.1101 |
| No log | 4.0 | 144 | 0.0927 |
| No log | 5.0 | 180 | 0.0876 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4