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-fruits-360-16-7
results: []
vit-base-patch16-224-fruits-360-16-7
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: 0.0010
- 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.04 | 1.0 | 1057 | 0.0216 | 0.9953 |
| 0.0053 | 2.0 | 2115 | 0.0081 | 0.9974 |
| 0.0252 | 3.0 | 3173 | 0.0043 | 0.9991 |
| 0.0221 | 4.0 | 4231 | 0.0038 | 0.9991 |
| 0.0116 | 5.0 | 5288 | 0.0010 | 1.0 |
| 0.0014 | 6.0 | 6346 | 0.0013 | 0.9997 |
| 0.0003 | 7.0 | 7399 | 0.0011 | 0.9996 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1