custom-vgg19
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3984
- Accuracy: 0.9216
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 13 | 0.5019 | 0.8235 |
| No log | 2.0 | 26 | 0.4287 | 0.9020 |
| No log | 3.0 | 39 | 0.4242 | 0.9020 |
| No log | 4.0 | 52 | 0.5184 | 0.8039 |
| No log | 5.0 | 65 | 0.4223 | 0.8824 |
| No log | 6.0 | 78 | 0.4254 | 0.8824 |
| No log | 7.0 | 91 | 0.4310 | 0.8824 |
| No log | 8.0 | 104 | 0.3984 | 0.9216 |
| No log | 9.0 | 117 | 0.4275 | 0.8824 |
| No log | 10.0 | 130 | 0.4264 | 0.8824 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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