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license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_keras_callback
model-index:
- name: TirathP/vit-base-patch16-224-finetuned-customData
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. -->
# TirathP/vit-base-patch16-224-finetuned-customData
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2775
- Validation Loss: 0.3297
- Validation Accuracy: 0.8571
- Epoch: 19
## 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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:---------------:|:-------------------:|:-----:|
| 1.1397 | 1.0223 | 0.5714 | 0 |
| 0.8312 | 0.8338 | 0.5714 | 1 |
| 0.7131 | 0.7099 | 0.5714 | 2 |
| 0.5754 | 0.6120 | 0.7143 | 3 |
| 0.4804 | 0.5374 | 0.7143 | 4 |
| 0.3934 | 0.4630 | 0.8571 | 5 |
| 0.4258 | 0.3979 | 0.8571 | 6 |
| 0.3739 | 0.3455 | 1.0 | 7 |
| 0.3143 | 0.2909 | 1.0 | 8 |
| 0.3113 | 0.2572 | 0.8571 | 9 |
| 0.3327 | 0.2623 | 0.8571 | 10 |
| 0.2227 | 0.2993 | 0.8571 | 11 |
| 0.2860 | 0.3299 | 0.8571 | 12 |
| 0.2081 | 0.3553 | 0.8571 | 13 |
| 0.2243 | 0.3360 | 0.8571 | 14 |
| 0.2246 | 0.2942 | 0.8571 | 15 |
| 0.2570 | 0.2131 | 0.8571 | 16 |
| 0.3173 | 0.1850 | 0.8571 | 17 |
| 0.1572 | 0.2134 | 0.8571 | 18 |
| 0.2775 | 0.3297 | 0.8571 | 19 |
### Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
|