metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flowers-vit-base-patch16-224-in21k
results: []
flowers-vit-base-patch16-224-in21k
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2048
- Model Preparation Time: 0.0068
- Accuracy: 0.9673
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 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 | Model Preparation Time | Accuracy |
|---|---|---|---|---|---|
| No log | 1.0 | 92 | 0.6178 | 0.0068 | 0.9700 |
| No log | 2.0 | 184 | 0.3102 | 0.0068 | 0.9646 |
| No log | 3.0 | 276 | 0.2315 | 0.0068 | 0.9700 |
| No log | 4.0 | 368 | 0.2097 | 0.0068 | 0.9673 |
| No log | 5.0 | 460 | 0.2048 | 0.0068 | 0.9673 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0