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--- |
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license: apache-2.0 |
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base_model: microsoft/resnet-152 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: Resnet152-5e-5 |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: validation |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7614314115308151 |
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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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# Resnet152-5e-5 |
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This model is a fine-tuned version of [microsoft/resnet-152](https://huggingface.co/microsoft/resnet-152) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8255 |
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- Accuracy: 0.7614 |
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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: 64 |
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- eval_batch_size: 64 |
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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: cosine |
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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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| 3.2352 | 1.0 | 275 | 2.9196 | 0.1984 | |
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| 2.5896 | 2.0 | 550 | 1.9631 | 0.4736 | |
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| 1.8864 | 3.0 | 825 | 1.3420 | 0.6231 | |
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| 1.5969 | 4.0 | 1100 | 1.1232 | 0.6918 | |
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| 1.465 | 5.0 | 1375 | 0.9717 | 0.7213 | |
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| 1.371 | 6.0 | 1650 | 0.9014 | 0.7483 | |
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| 1.2795 | 7.0 | 1925 | 0.8566 | 0.7491 | |
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| 1.2448 | 8.0 | 2200 | 0.8272 | 0.7594 | |
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| 1.2234 | 9.0 | 2475 | 0.8145 | 0.7630 | |
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| 1.2143 | 10.0 | 2750 | 0.8255 | 0.7614 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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