cvt-13-finetuned-eurosat

This model is a fine-tuned version of microsoft/cvt-13 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4821
• Accuracy: 0.3846

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	0.8421	4	1.6279	0.1923
No log	1.8947	9	1.5128	0.3462
1.5802	2.5263	12	1.4821	0.3846

Framework versions

• Transformers 4.40.2
• Pytorch 2.4.0+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1