judith0/classification_INE_v3

classification_INE_v2-finetuned-eurosat

This model is a fine-tuned version of judith0/classification_INE_v2 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.0682
• Accuracy: 0.9681

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	0.89	6	0.0682	0.9681
0.0563	1.93	13	0.0963	0.9574
0.0563	2.67	18	0.0870	0.9574

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1