tiny-random-vit-finetuned-eurosat

This model is a fine-tuned version of hf-internal-testing/tiny-random-vit on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 1.0488
• Accuracy: 0.6647

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
1.1192	0.99	70	1.0867	0.6627
1.067	1.99	140	1.0563	0.6657
0.9719	2.99	210	1.0488	0.6647

Framework versions

• Transformers 4.21.0
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1