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
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