Human-action-convnext – AI Model by luciagil | AlphaNeural AI

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luciagil/
Human-action-convnext

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image-classification

generated_from_trainer

facebook/convnext-tiny-224

autotrain_compatible

endpoints_compatible

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Human-action-convnext

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: 0.5382
Accuracy: 0.8365

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: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7559	0.99	78	0.6921	0.7940
0.6605	1.99	157	0.6305	0.8163
0.5673	3.0	236	0.5968	0.8179
0.4815	4.0	315	0.5834	0.8167
0.4497	4.99	393	0.5617	0.8294
0.4009	5.99	472	0.5505	0.8298
0.3469	7.0	551	0.5466	0.8333
0.3096	8.0	630	0.5417	0.8361
0.3083	8.99	708	0.5450	0.8313
0.333	9.99	787	0.5417	0.8345
0.2979	11.0	866	0.5386	0.8377
0.2469	11.89	936	0.5382	0.8365

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2