convnext-tiny-224-finetuned – AI Model by karim155 | AlphaNeural AI

You can deploy this model and start earning money today!

karim155/
convnext-tiny-224-finetuned

like

0

image-classification

generated_from_trainer

facebook/convnext-tiny-224

autotrain_compatible

endpoints_compatible

Views

No views yet

convnext-tiny-224-finetuned

This model is a fine-tuned version of facebook/convnext-tiny-224 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9272
Accuracy: 0.6275
Precision: 0.6426
Recall: 0.6275
F1: 0.6068

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.281	0.9846	32	1.2165	0.5428	0.5230	0.5428	0.4989
1.0964	2.0	65	1.0549	0.5823	0.5459	0.5823	0.5427
0.9929	2.9846	97	0.9905	0.6169	0.5755	0.6169	0.5848
0.9804	4.0	130	0.9691	0.6131	0.5734	0.6131	0.5867
0.9389	4.9846	162	0.9539	0.6246	0.5874	0.6246	0.6007
0.9078	6.0	195	0.9536	0.6189	0.5910	0.6189	0.5973
0.8741	6.9846	227	0.9333	0.6333	0.5947	0.6333	0.6098
0.8523	8.0	260	0.9322	0.6323	0.5952	0.6323	0.6122
0.8222	8.9846	292	0.9354	0.6198	0.6361	0.6198	0.5992
0.7975	9.8462	320	0.9272	0.6275	0.6426	0.6275	0.6068

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1