deit-finetuned-rocks
This model is a fine-tuned version of facebook/deit-base-distilled-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7955
- Accuracy: 0.4722
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: 96
- eval_batch_size: 96
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 384
- 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 |
---|---|---|---|---|
4.9442 | 0.9796 | 24 | 4.5671 | 0.1471 |
3.8755 | 2.0 | 49 | 3.6098 | 0.3345 |
2.7159 | 2.9796 | 73 | 3.0998 | 0.4149 |
2.2093 | 4.0 | 98 | 2.8513 | 0.4534 |
1.9325 | 4.8980 | 120 | 2.7955 | 0.4722 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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