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# convnext-tiny-224-wikiart

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the huggan/wikiart dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8022
- Accuracy: 0.7140

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.9779        | 1.0   | 8654  | 0.9191          | 0.6743   |
| 0.9959        | 2.0   | 17308 | 0.8523          | 0.6941   |
| 1.0344        | 3.0   | 25962 | 0.8277          | 0.7023   |
| 0.8853        | 4.0   | 34616 | 0.8126          | 0.7100   |
| 0.9557        | 5.0   | 43270 | 0.8022          | 0.7140   |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["image-classification", "vision", "generated_from_trainer"], "datasets": ["wiki_art"], "metrics": ["accuracy"], "base_model": "facebook/convnext-tiny-224", "model-index": [{"name": "convnext-tiny-224-wikiart", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "huggan/wikiart", "type": "wiki_art", "config": "default", "split": "train", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.7140050748956372, "name": "Accuracy"}]}]}]}
transformers pytorch tensorboard safetensors convnext image-classification vision generated_from_trainer dataset:wiki_art base_model:facebook/convnext-tiny-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #convnext #image-classification #vision #generated_from_trainer #dataset-wiki_art #base_model-facebook/convnext-tiny-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

convnext-tiny-224-wikiart
=========================


This model is a fine-tuned version of facebook/convnext-tiny-224 on the huggan/wikiart dataset.
It achieves the following results on the evaluation set:


* Loss: 0.8022
* Accuracy: 0.7140


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: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 1337
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0


### Training results



### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 1.13.0+cu117
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 1337
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0 ### Training results ### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 1.13.0+cu117
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #safetensors #convnext #image-classification #vision #generated_from_trainer #dataset-wiki_art #base_model-facebook/convnext-tiny-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 1337
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0 ### Training results ### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 1.13.0+cu117
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #safetensors #convnext #image-classification #vision #generated_from_trainer #dataset-wiki_art #base_model-facebook/convnext-tiny-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 1337
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0### Training results### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 1.13.0+cu117
* Datasets 2.10.1
* Tokenizers 0.13.2