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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: timm/resnet18.a1_in1k |
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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: vit-base-beans |
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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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# vit-base-beans |
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This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7412 |
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- Accuracy: 0.8120 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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- optimizer: Use 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: 15.0 |
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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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| 1.0864 | 1.0 | 130 | 1.0878 | 0.4286 | |
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| 1.0629 | 2.0 | 260 | 1.0594 | 0.5489 | |
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| 1.0434 | 3.0 | 390 | 1.0230 | 0.6767 | |
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| 1.0214 | 4.0 | 520 | 0.9965 | 0.6767 | |
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| 1.0026 | 5.0 | 650 | 0.9569 | 0.7444 | |
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| 0.9753 | 6.0 | 780 | 0.9288 | 0.7820 | |
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| 0.9252 | 7.0 | 910 | 0.8875 | 0.7970 | |
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| 0.9192 | 8.0 | 1040 | 0.8506 | 0.8120 | |
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| 0.9008 | 9.0 | 1170 | 0.8338 | 0.8045 | |
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| 0.8079 | 10.0 | 1300 | 0.8104 | 0.8421 | |
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| 0.8332 | 11.0 | 1430 | 0.7806 | 0.8346 | |
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| 0.8103 | 12.0 | 1560 | 0.7586 | 0.8346 | |
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| 0.8149 | 13.0 | 1690 | 0.7571 | 0.8421 | |
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| 0.8186 | 14.0 | 1820 | 0.7540 | 0.8271 | |
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| 0.7929 | 15.0 | 1950 | 0.7412 | 0.8120 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.4.1+cu118 |
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- Datasets 2.21.0 |
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- Tokenizers 0.20.0 |
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