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---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Image-Classifier-Pokemons
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Image-Classifier-Pokemons
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:
- Loss: 1.8369
- Accuracy: 0.8921
## 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
- training_steps: 1200
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 4.9198 | 0.9943 | 87 | 4.8889 | 0.1158 |
| 4.4617 | 2.0 | 175 | 4.4093 | 0.5868 |
| 3.869 | 2.9943 | 262 | 3.8642 | 0.7534 |
| 3.4201 | 4.0 | 350 | 3.4278 | 0.8170 |
| 3.0186 | 4.9943 | 437 | 3.0832 | 0.8220 |
| 2.6769 | 6.0 | 525 | 2.7755 | 0.8578 |
| 2.4469 | 6.9943 | 612 | 2.5311 | 0.8635 |
| 2.1796 | 8.0 | 700 | 2.3141 | 0.8771 |
| 2.0105 | 8.9943 | 787 | 2.1620 | 0.8849 |
| 1.8571 | 10.0 | 875 | 2.0283 | 0.8885 |
| 1.7549 | 10.9943 | 962 | 1.9372 | 0.8856 |
| 1.6934 | 12.0 | 1050 | 1.8779 | 0.8949 |
| 1.6377 | 12.9943 | 1137 | 1.8180 | 0.9006 |
| 1.6182 | 13.7143 | 1200 | 1.8369 | 0.8921 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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