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paper_model_DP_2 – AI Model by ricardoSLabs | AlphaNeural AI
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ricardoSLabs
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paper_model_DP_2
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transformers
tf
convnext
image-classification
generated_from_keras_callback
facebook/convnextv2-tiny-1k-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ricardoSLabs/paper_model_DP_2
This model is a fine-tuned version of
facebook/convnextv2-tiny-1k-224
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.2601
Validation Loss: 0.2486
Train Accuracy: 0.9320
Epoch: 4
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:
optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Accuracy
Epoch
0.4287
0.3455
0.8473
0
0.3304
0.3161
0.8742
1
0.2992
0.2814
0.8943
2
0.2766
0.2632
0.9211
3
0.2601
0.2486
0.9320
4
Framework versions
Transformers 4.41.2
TensorFlow 2.15.0
Datasets 2.19.2
Tokenizers 0.19.1
