metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-beans-2
results: []
vit-base-beans-2
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: 1.1144
- Accuracy: 0.375
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: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 2 | 1.1243 | 0.4375 |
| No log | 2.0 | 4 | 1.1204 | 0.375 |
| No log | 3.0 | 6 | 1.1172 | 0.375 |
| No log | 4.0 | 8 | 1.1152 | 0.375 |
| 0.9751 | 5.0 | 10 | 1.1144 | 0.375 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.1
- Datasets 2.15.1.dev0
- Tokenizers 0.15.0