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update model card README.md
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README.md
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---
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license: apache-2.0
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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: resnet50
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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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# resnet50
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This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8.2042
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- Accuracy: 0.0
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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: 0.0001
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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: 10
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- total_train_batch_size: 320
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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: 5
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- mixed_precision_training: Native AMP
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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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| 6.8491 | 1.0 | 1 | 8.1612 | 0.0 |
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| 6.7309 | 2.0 | 2 | 7.3393 | 0.0 |
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| 6.8199 | 3.0 | 3 | 7.9807 | 0.0 |
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| 6.8118 | 4.0 | 4 | 8.6801 | 0.0 |
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| 6.7573 | 5.0 | 5 | 8.2042 | 0.0 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1
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- Datasets 2.6.0
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- Tokenizers 0.13.1
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