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--- |
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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: WS800_DeiT_42820350 |
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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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# WS800_DeiT_42820350 |
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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: 0.0000 |
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- Accuracy: 1.0 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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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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| No log | 0.96 | 6 | 0.1229 | 0.9625 | |
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| No log | 1.92 | 12 | 0.1149 | 0.95 | |
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| No log | 2.88 | 18 | 0.0406 | 0.9875 | |
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| No log | 4.0 | 25 | 0.0004 | 1.0 | |
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| No log | 4.96 | 31 | 0.0001 | 1.0 | |
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| No log | 5.92 | 37 | 0.0001 | 1.0 | |
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| No log | 6.88 | 43 | 0.0000 | 1.0 | |
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| 0.0759 | 8.0 | 50 | 0.0000 | 1.0 | |
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| 0.0759 | 8.96 | 56 | 0.0000 | 1.0 | |
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| 0.0759 | 9.6 | 60 | 0.0000 | 1.0 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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