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the-clueless-classifier
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SCUTFVD-resnet50-fold01

Image Classification
Transformers
PyTorch
Safetensors
resnet
Generated from Trainer
Model card Files
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the-clueless-classifier commited on
Commit
ec174e8
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1 Parent(s): d390bed

Fine-tune iteration 1 fold 01

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Files changed (5) hide show
  1. README.md +73 -0
  2. config.json +1044 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +23 -0
  5. training_args.bin +3 -0
README.md ADDED
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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: SCUTFVD-resnet50-fold01
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+ results: []
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+ ---
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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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+
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+ # SCUTFVD-resnet50-fold01
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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: 7.7193
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+ - Accuracy: 0.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 12.0
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+ - label_smoothing_factor: 0.1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 5.6373 | 1.0 | 75 | 7.7193 | 0.0 |
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+ | 5.1871 | 2.0 | 150 | 8.3867 | 0.0 |
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+ | 4.7966 | 3.0 | 225 | 8.2593 | 0.0 |
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+ | 4.4306 | 4.0 | 300 | 8.1700 | 0.0 |
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+ | 4.1405 | 5.0 | 375 | 8.5144 | 0.0 |
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+ | 3.7208 | 6.0 | 450 | 7.9797 | 0.0 |
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+ | 3.4242 | 7.0 | 525 | 8.2035 | 0.0 |
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+ | 3.2700 | 8.0 | 600 | 8.3186 | 0.0 |
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+ | 2.9951 | 9.0 | 675 | 8.3527 | 0.0 |
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+ | 2.9013 | 10.0 | 750 | 8.0421 | 0.0 |
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+ | 2.9466 | 11.0 | 825 | 8.2511 | 0.0 |
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+ | 2.8437 | 12.0 | 900 | 8.3375 | 0.0 |
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+
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+
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+ ### Framework versions
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+
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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
config.json ADDED
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