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convnext-tiny-224-finetuned-Human_Action_Recognition-albumentations – AI Model by gulsmyigit | AlphaNeural AI
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convnext-tiny-224-finetuned-Human_Action_Recognition-albumentations
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transformers
tensorboard
safetensors
convnext
image-classification
generated_from_trainer
facebook/convnext-tiny-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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convnext-tiny-224-finetuned-Human_Action_Recognition-albumentations
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: 1.2847
Accuracy: 0.7111
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.1936
0.9915
88
1.9662
0.5929
1.5495
1.9944
177
1.4167
0.6817
1.4223
2.9746
264
1.2847
0.7111
Framework versions
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
