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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- wiki_art
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metrics:
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- accuracy
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model-index:
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- name: convnext-tiny-224-wikiart
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: wiki_art
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type: wiki_art
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7140050748956372
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# convnext-tiny-224-wikiart
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the wiki_art dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8022
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- Accuracy: 0.7140
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 1337
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.9779 | 1.0 | 8654 | 0.9191 | 0.6743 |
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| 0.9959 | 2.0 | 17308 | 0.8523 | 0.6941 |
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| 1.0344 | 3.0 | 25962 | 0.8277 | 0.7023 |
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| 0.8853 | 4.0 | 34616 | 0.8126 | 0.7100 |
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| 0.9557 | 5.0 | 43270 | 0.8022 | 0.7140 |
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### Framework versions
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- Transformers 4.28.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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