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dkirman-resnetModel – AI Model by rationalenterprise | AlphaNeural AI
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rationalenterprise
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dkirman-resnetModel
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tensorboard
safetensors
resnet
generated_from_trainer
microsoft/resnet-50
finetune
apache-2.0
us
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dkirman-resnetModel
This model is a fine-tuned version of
microsoft/resnet-50
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.4993
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
18
7.4801
No log
2.0
36
6.8589
No log
3.0
54
6.6268
No log
4.0
72
6.5658
No log
5.0
90
6.4993
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
