tcvrishank
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update model card README.md
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 64
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.375
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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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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2257
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- Accuracy: 0.375
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 64
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.2218 | 1.67 | 10 | 1.3308 | 0.475 |
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| 1.1647 | 3.33 | 20 | 1.1842 | 0.525 |
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| 1.132 | 5.0 | 30 | 1.1902 | 0.5 |
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| 1.1372 | 6.67 | 40 | 1.1355 | 0.5 |
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| 1.1006 | 8.33 | 50 | 1.0911 | 0.45 |
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| 1.0876 | 10.0 | 60 | 1.2257 | 0.375 |
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### Framework versions
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