| ---
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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: SCUTFVD-resnet50-fold02
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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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|
|
| # SCUTFVD-resnet50-fold02
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|
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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: 0.2553
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| - Accuracy: 1.0
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|
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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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|
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| ## Training and evaluation data
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| More information needed
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|
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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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| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 10
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|
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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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| | 3.3939 | 1.0 | 75 | 3.5459 | 0.8125 |
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| | 2.6004 | 2.0 | 150 | 2.7319 | 0.75 |
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| | 2.1055 | 3.0 | 225 | 2.5355 | 0.6875 |
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| | 1.5796 | 4.0 | 300 | 1.8482 | 0.9688 |
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| | 1.3936 | 5.0 | 375 | 2.8199 | 0.5312 |
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| | 1.2338 | 6.0 | 450 | 1.6173 | 0.8438 |
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| | 0.9104 | 7.0 | 525 | 1.2332 | 0.9688 |
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| | 0.8993 | 8.0 | 600 | 0.5451 | 1.0 |
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| | 0.7933 | 9.0 | 675 | 0.9290 | 1.0 |
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| | 0.7451 | 10.0 | 750 | 0.2553 | 1.0 |
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| ### Framework versions
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| - Transformers 5.1.0
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| - Pytorch 2.10.0+cu128
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| - Datasets 4.8.4
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| - Tokenizers 0.22.2
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| |
