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--- |
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license: apache-2.0 |
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base_model: google/efficientnet-b3 |
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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: danbooru-effnet |
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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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# danbooru-effnet |
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This model is a fine-tuned version of [google/efficientnet-b3](https://huggingface.co/google/efficientnet-b3) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3229 |
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- Accuracy: 0.8810 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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| 2.9823 | 1.0 | 86 | 1.3710 | 0.7734 | |
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| 0.4826 | 1.99 | 172 | 0.4535 | 0.8378 | |
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| 0.4562 | 2.99 | 258 | 0.3866 | 0.8525 | |
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| 0.4149 | 4.0 | 345 | 0.3690 | 0.8533 | |
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| 0.3943 | 5.0 | 431 | 0.3443 | 0.8688 | |
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| 0.394 | 5.99 | 517 | 0.3362 | 0.8794 | |
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| 0.3416 | 6.99 | 603 | 0.3392 | 0.8712 | |
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| 0.3644 | 8.0 | 690 | 0.3335 | 0.8753 | |
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| 0.3581 | 9.0 | 776 | 0.3229 | 0.8810 | |
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| 0.3414 | 9.97 | 860 | 0.3369 | 0.8745 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.0 |
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