---
license: apache-2.0
base_model: facebook/convnext-large-224-22k-1k
tags:
- generated_from_trainer
datasets:
- imagenet_10
metrics:
- accuracy
model-index:
- name: image_classification
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagenet_10
      type: imagenet_10
      config: default
      split: train[:7000]
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9942857142857143
---

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

This model is a fine-tuned version of [facebook/convnext-large-224-22k-1k](https://huggingface.co/facebook/convnext-large-224-22k-1k) on the imagenet_10 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0357
- Accuracy: 0.9943

## 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: 0.0001
- train_batch_size: 17
- eval_batch_size: 17
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 330  | 0.0637          | 0.9843   |
| 0.0602        | 2.0   | 660  | 0.0664          | 0.9821   |
| 0.0602        | 3.0   | 990  | 0.0843          | 0.9843   |
| 0.0468        | 4.0   | 1320 | 0.0452          | 0.9879   |
| 0.0313        | 5.0   | 1650 | 0.0347          | 0.9914   |
| 0.0313        | 6.0   | 1980 | 0.0432          | 0.9914   |
| 0.0232        | 7.0   | 2310 | 0.0314          | 0.99     |
| 0.0223        | 8.0   | 2640 | 0.0337          | 0.9921   |
| 0.0223        | 9.0   | 2970 | 0.0381          | 0.99     |
| 0.0177        | 10.0  | 3300 | 0.0321          | 0.9921   |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3