S1_M1_R3_deit_42509575
This model is a fine-tuned version of facebook/deit-base-distilled-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0039
- Accuracy: 0.9990
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|---|---|---|---|---|
| 0.0046 | 1.0 | 320 | 0.0065 | 0.9973 |
| 0.0027 | 2.0 | 640 | 0.0124 | 0.9975 |
| 0.0001 | 3.0 | 960 | 0.0013 | 0.9994 |
| 0.0 | 4.0 | 1280 | 0.0028 | 0.9992 |
| 0.0 | 5.0 | 1600 | 0.0039 | 0.9990 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.11.0+cu102
- Datasets 2.16.0
- Tokenizers 0.15.0
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Base model
facebook/deit-base-distilled-patch16-224