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clip-vit-base-patch32-finetuned-eurosat – AI Model by MF21377197 | AlphaNeural AI
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clip-vit-base-patch32-finetuned-eurosat
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transformers
tensorboard
safetensors
clip
image-classification
generated_from_trainer
openai/clip-vit-base-patch32
finetune
autotrain_compatible
endpoints_compatible
us
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clip-vit-base-patch32-finetuned-eurosat
This model is a fine-tuned version of
openai/clip-vit-base-patch32
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1225
Accuracy: 0.9614
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
0.6844
1.0
351
0.3243
0.8944
0.4737
2.0
703
0.1788
0.9384
0.3252
2.99
1053
0.1225
0.9614
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
