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histo_train_resnet – AI Model by tcvrishank | AlphaNeural AI
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tcvrishank
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histo_train_resnet
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transformers
pytorch
tensorboard
resnet
image-classification
generated_from_trainer
imagefolder
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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histo_train_resnet
This model is a fine-tuned version of
microsoft/resnet-50
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 1.2257
Accuracy: 0.375
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: 0.001
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.2218
1.67
10
1.3308
0.475
1.1647
3.33
20
1.1842
0.525
1.132
5.0
30
1.1902
0.5
1.1372
6.67
40
1.1355
0.5
1.1006
8.33
50
1.0911
0.45
1.0876
10.0
60
1.2257
0.375
Framework versions
Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
