dark-pond-236 – AI Model by BeckerAnas | AlphaNeural AI

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BeckerAnas/
dark-pond-236

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image-classification

generated_from_trainer

facebook/convnext-tiny-224

autotrain_compatible

endpoints_compatible

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dark-pond-236

This model is a fine-tuned version of facebook/convnext-tiny-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1304
Accuracy: 0.9611
Precision: 0.9611
Recall: 0.9611
F1: 0.9611
Roc Auc: 0.9990

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: 256
eval_batch_size: 256
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Roc Auc
1.4605	1.0	161	0.4303	0.8863	0.8910	0.8863	0.8860	0.9934
0.6333	2.0	322	0.2051	0.9418	0.9423	0.9418	0.9418	0.9980
0.5099	3.0	483	0.1538	0.9539	0.9540	0.9539	0.9538	0.9987
0.4501	4.0	644	0.1353	0.9606	0.9605	0.9606	0.9605	0.9989
0.4281	5.0	805	0.1304	0.9611	0.9611	0.9611	0.9611	0.9990

Framework versions

Transformers 4.52.3
Pytorch 2.7.0+cpu
Datasets 3.6.0
Tokenizers 0.21.0