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README.md
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---
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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
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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
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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: 1.0320
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- Accuracy: 0.5186
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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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- lr_scheduler_warmup_ratio: 0.1
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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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| 1.3301 | 1.0 | 32 | 1.3377 | 0.3477 |
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| 1.2001 | 2.0 | 64 | 1.2172 | 0.4414 |
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| 1.1188 | 3.0 | 96 | 1.1265 | 0.5010 |
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| 1.0655 | 4.0 | 128 | 1.1025 | 0.5010 |
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| 1.0437 | 5.0 | 160 | 1.0753 | 0.5010 |
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| 1.0374 | 6.0 | 192 | 1.0629 | 0.5029 |
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| 1.0181 | 7.0 | 224 | 1.0452 | 0.5137 |
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| 1.0011 | 8.0 | 256 | 1.0381 | 0.5127 |
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| 1.0074 | 9.0 | 288 | 1.0268 | 0.5098 |
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| 0.9977 | 10.0 | 320 | 1.0320 | 0.5186 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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