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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Imene/vit-base-patch16-224-in21k-Writer-Identification
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. -->
# Imene/vit-base-patch16-224-in21k-Writer-Identification
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: 2.9065
- Train Accuracy: 0.6173
- Train Top-3-accuracy: 0.8384
- Validation Loss: 3.0602
- Validation Accuracy: 0.4255
- Validation Top-3-accuracy: 0.6884
- Epoch: 10
## 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16
### Training results
| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
| 3.8889 | 0.0401 | 0.0971 | 3.8524 | 0.0501 | 0.1577 | 0 |
| 3.7785 | 0.1516 | 0.3210 | 3.7267 | 0.1464 | 0.3392 | 1 |
| 3.6188 | 0.2656 | 0.4854 | 3.5946 | 0.2115 | 0.4143 | 2 |
| 3.4631 | 0.3276 | 0.5860 | 3.4570 | 0.2728 | 0.5232 | 3 |
| 3.3386 | 0.3959 | 0.6599 | 3.3664 | 0.3091 | 0.5757 | 4 |
| 3.2366 | 0.4500 | 0.7094 | 3.2844 | 0.3342 | 0.5895 | 5 |
| 3.1510 | 0.4879 | 0.7526 | 3.2364 | 0.3442 | 0.6170 | 6 |
| 3.0757 | 0.5246 | 0.7823 | 3.1752 | 0.3830 | 0.6508 | 7 |
| 3.0107 | 0.5612 | 0.8058 | 3.1281 | 0.4043 | 0.6596 | 8 |
| 2.9549 | 0.5894 | 0.8212 | 3.0903 | 0.4255 | 0.6834 | 9 |
| 2.9065 | 0.6173 | 0.8384 | 3.0602 | 0.4255 | 0.6884 | 10 |
### Framework versions
- Transformers 4.21.3
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1
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