---
license: apache-2.0
base_model: facebook/convnext-tiny-224
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: akram-convNeXt-flipkarts
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# akram-convNeXt-flipkarts

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the flipkarts_images dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4581
- Accuracy: 0.8734

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3777        | 0.57  | 32   | 0.5409          | 0.8228   |
| 0.131         | 1.14  | 64   | 0.5633          | 0.8418   |
| 0.1426        | 1.71  | 96   | 0.5171          | 0.8291   |
| 0.2413        | 2.29  | 128  | 0.4775          | 0.8608   |
| 0.1852        | 2.86  | 160  | 0.4648          | 0.8608   |
| 0.2165        | 3.43  | 192  | 0.4581          | 0.8734   |
| 0.1529        | 4.0   | 224  | 0.4617          | 0.8734   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2