---
license: apache-2.0
base_model: facebook/convnext-large-224-22k-1k
tags:
- generated_from_trainer
datasets:
- amazonian_fish_classifier_data
metrics:
- accuracy
model-index:
- name: image_classification
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: amazonian_fish_classifier_data
      type: amazonian_fish_classifier_data
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9332247557003257
---

<!-- 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. -->

# 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 amazonian_fish_classifier_data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2562
- Accuracy: 0.9332

## 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: 7e-05
- 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   | 145  | 0.6864          | 0.8420   |
| No log        | 2.0   | 290  | 0.5780          | 0.8306   |
| No log        | 3.0   | 435  | 0.4466          | 0.8860   |
| 0.7812        | 4.0   | 580  | 0.3810          | 0.8958   |
| 0.7812        | 5.0   | 725  | 0.4124          | 0.8860   |
| 0.7812        | 6.0   | 870  | 0.3617          | 0.9007   |
| 0.3315        | 7.0   | 1015 | 0.3397          | 0.8990   |
| 0.3315        | 8.0   | 1160 | 0.3746          | 0.9055   |
| 0.3315        | 9.0   | 1305 | 0.3379          | 0.9023   |
| 0.3315        | 10.0  | 1450 | 0.3825          | 0.8958   |


### Framework versions

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