cvt-13-finetuned-ibird
This model is a fine-tuned version of microsoft/cvt-13 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0637
- Accuracy: 0.9853
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0089 | 1.0 | 565 | 0.2878 | 0.9649 |
| 0.7855 | 2.0 | 1131 | 0.1079 | 0.9791 |
| 0.6657 | 3.0 | 1696 | 0.0706 | 0.9867 |
| 0.7475 | 4.0 | 2262 | 0.0668 | 0.9867 |
| 0.6021 | 5.0 | 2825 | 0.0637 | 0.9853 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2
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Base model
microsoft/cvt-13