pvt_v2_b0-finetuned-eurosat
This model is a fine-tuned version of OpenGVLab/pvt_v2_b0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4068
- Accuracy: 0.4615
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 | 1.4068 | 0.4615 |
| No log | 1.8947 | 9 | 1.3297 | 0.4615 |
| 1.4031 | 2.5263 | 12 | 1.3203 | 0.4423 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1