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---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: arieg/spec_cls_80_v2
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# arieg/spec_cls_80_v2
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.0698
- Validation Loss: 1.0517
- Train Accuracy: 1.0
- Epoch: 9
## 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:
- optimizer: {'name': 'AdamWeightDecay', 'clipnorm': 1.0, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 14400, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 4.2243 | 4.0115 | 0.575 | 0 |
| 3.6964 | 3.4678 | 0.9125 | 1 |
| 3.1703 | 2.9932 | 0.9938 | 2 |
| 2.7155 | 2.5826 | 0.9938 | 3 |
| 2.3313 | 2.2229 | 1.0 | 4 |
| 2.0025 | 1.9208 | 1.0 | 5 |
| 1.7153 | 1.6639 | 1.0 | 6 |
| 1.4721 | 1.4462 | 1.0 | 7 |
| 1.2586 | 1.2279 | 1.0 | 8 |
| 1.0698 | 1.0517 | 1.0 | 9 |
### Framework versions
- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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