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---
license: apache-2.0
base_model: facebook/convnext-tiny-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: convnext-tiny-224-convnext
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9950980392156863
---
<!-- 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. -->
# convnext-tiny-224-convnext
This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0225
- Accuracy: 0.9951
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2175 | 1.0 | 327 | 0.1708 | 0.9436 |
| 0.1476 | 2.0 | 654 | 0.0908 | 0.9672 |
| 0.0961 | 3.0 | 981 | 0.0428 | 0.9862 |
| 0.0677 | 4.0 | 1309 | 0.0654 | 0.9777 |
| 0.049 | 5.0 | 1636 | 0.0498 | 0.9857 |
| 0.0347 | 6.0 | 1963 | 0.0352 | 0.9886 |
| 0.0282 | 7.0 | 2290 | 0.0278 | 0.9913 |
| 0.0694 | 8.0 | 2618 | 0.0299 | 0.9918 |
| 0.0733 | 9.0 | 2945 | 0.0246 | 0.9938 |
| 0.0399 | 10.0 | 3272 | 0.0285 | 0.9918 |
| 0.0276 | 11.0 | 3599 | 0.0249 | 0.9933 |
| 0.0259 | 12.0 | 3927 | 0.0241 | 0.9942 |
| 0.0551 | 13.0 | 4254 | 0.0298 | 0.9920 |
| 0.0658 | 14.0 | 4581 | 0.0288 | 0.9924 |
| 0.0208 | 14.99 | 4905 | 0.0225 | 0.9951 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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