metadata
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
image_classification
This model is a fine-tuned version of 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