imagenet-tiger
This model is a fine-tuned version of tigeryi/imagenet1k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6595
- Accuracy: 0.8254
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0771 | 1.0 | 1250 | 0.7663 | 0.7971 |
| 0.8206 | 2.0 | 2500 | 0.6772 | 0.8207 |
| 0.7212 | 3.0 | 3750 | 0.6595 | 0.8254 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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