sample_foot
This model is a fine-tuned version of facebook/dinov2-small-imagenet1k-1-layer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0754
- Accuracy: 0.4545
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.6026 | 1.0 | 21 | 4.9823 | 0.4545 |
| 3.7497 | 2.0 | 42 | 3.6049 | 0.4545 |
| 3.1278 | 3.0 | 63 | 3.7326 | 0.4545 |
| 2.4551 | 4.0 | 84 | 2.0051 | 0.4545 |
| 2.3722 | 5.0 | 105 | 3.1027 | 0.4545 |
| 2.3023 | 6.0 | 126 | 2.6815 | 0.4545 |
| 2.8063 | 7.0 | 147 | 2.9446 | 0.4545 |
| 2.2692 | 8.0 | 168 | 3.1585 | 0.4545 |
| 2.545 | 9.0 | 189 | 2.8486 | 0.4545 |
| 2.2706 | 10.0 | 210 | 3.0754 | 0.4545 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
facebook/dinov2-small-imagenet1k-1-layer