Image Classification
Collection
4 items • Updated
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
More information needed
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-5
- 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 | 1.0 | 5 | 1.847501 | 0.260870 |
| 1.9354 | 2.0 | 10 | 1.729485 | 0.333333 |
| 1.9354 | 3.0 | 15 | 1.681863 | 0.391304 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Downloads last month
- 14
Model tree for DamarJati/plastic-recycling-codes
Base model
microsoft/swin-tiny-patch4-window7-224Dataset used to train DamarJati/plastic-recycling-codes
Collection including DamarJati/plastic-recycling-codes
Evaluation results
- Accuracy on imagefolderself-reported0.391