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--- |
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library_name: transformers |
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base_model: RobertZ2011/resnet-18-birb |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: klasifikasiburung |
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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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# klasifikasiburung |
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This model is a fine-tuned version of [RobertZ2011/resnet-18-birb](https://huggingface.co/RobertZ2011/resnet-18-birb) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0513 |
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- Accuracy: 0.7765 |
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- Precision: 0.7801 |
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- Recall: 0.7765 |
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- F1: 0.7734 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 1.4823 | 1.0 | 375 | 1.3049 | 0.7365 | 0.7549 | 0.7365 | 0.7280 | |
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| 1.0529 | 2.0 | 750 | 1.1702 | 0.7641 | 0.7706 | 0.7641 | 0.7588 | |
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| 0.7485 | 3.0 | 1125 | 1.0967 | 0.7689 | 0.7780 | 0.7689 | 0.7662 | |
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| 0.6476 | 4.0 | 1500 | 1.0676 | 0.7717 | 0.7755 | 0.7717 | 0.7688 | |
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| 0.4738 | 5.0 | 1875 | 1.0513 | 0.7765 | 0.7801 | 0.7765 | 0.7734 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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