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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: microsoft/resnet-50 |
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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: resnet-50-cocoa |
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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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# resnet-50-cocoa |
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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8971 |
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- Accuracy: 0.8628 |
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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 OptimizerNames.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: 5.0 |
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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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| 1.4094 | 1.0 | 196 | 1.4768 | 0.8592 | |
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| 1.0664 | 2.0 | 392 | 1.2090 | 0.8628 | |
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| 1.0295 | 3.0 | 588 | 0.9924 | 0.8628 | |
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| 0.8401 | 4.0 | 784 | 0.9143 | 0.8628 | |
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| 0.8213 | 5.0 | 980 | 0.8971 | 0.8628 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.3.0+cu118 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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