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resnet-50-finetuned-eurosat – AI Model by lalla123 | AlphaNeural AI
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lalla123
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resnet-50-finetuned-eurosat
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transformers
safetensors
resnet
image-classification
generated_from_trainer
microsoft/resnet-50
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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resnet-50-finetuned-eurosat
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: 2.2964
Accuracy: 0.2929
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
No log
0.8889
4
2.3017
0.2643
No log
2.0
9
2.2989
0.2286
2.2991
2.6667
12
2.2964
0.2929
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
