Model save
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- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/deit-base-distilled-patch16-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: deit-ena24
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# deit-ena24
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This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1831
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- Accuracy: 0.9542
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.3013 | 0.1302 | 100 | 0.9782 | 0.7145 |
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| 0.8173 | 0.2604 | 200 | 0.5563 | 0.8557 |
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| 0.3854 | 0.3906 | 300 | 0.5591 | 0.8290 |
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| 0.4819 | 0.5208 | 400 | 0.4213 | 0.8916 |
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| 0.5078 | 0.6510 | 500 | 0.3100 | 0.9145 |
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| 0.3561 | 0.7812 | 600 | 0.2305 | 0.9359 |
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| 0.1739 | 0.9115 | 700 | 0.1831 | 0.9542 |
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### Framework versions
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- Transformers 4.51.1
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 343291936
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