results
This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12-192-22k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5248
- Accuracy: 0.6505
Model description
On ADE20K Dataset, do image classification.
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 |
|---|---|---|---|---|
| 2.8495 | 1.0 | 158 | 2.3313 | 0.5525 |
| 1.8825 | 2.0 | 316 | 1.6815 | 0.623 |
| 1.4956 | 3.0 | 474 | 1.5248 | 0.6505 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2