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

Alimuddin/amazon_fish_classification

image_classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Alimuddin/
amazon_fish_classification