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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: facebook/convnext-base-224-22k |
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tags: |
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- image-classification |
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- vision |
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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: Validated_cracks_raw_dataset_359_convnext_model |
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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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# Validated_cracks_raw_dataset_359_convnext_model |
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This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on the Logiroad/Validated_cracks_raw_dataset_359 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0441 |
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- Accuracy: 0.6021 |
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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: 1e-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: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 30.0 |
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- mixed_precision_training: Native AMP |
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- label_smoothing_factor: 0.05 |
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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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| 1.3724 | 1.0 | 108 | 1.3690 | 0.3134 | |
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| 1.3528 | 2.0 | 216 | 1.3015 | 0.4014 | |
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| 1.2839 | 3.0 | 324 | 1.2375 | 0.4331 | |
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| 1.2608 | 4.0 | 432 | 1.1975 | 0.4930 | |
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| 1.2178 | 5.0 | 540 | 1.1368 | 0.5246 | |
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| 1.1624 | 6.0 | 648 | 1.1164 | 0.4965 | |
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| 1.1108 | 7.0 | 756 | 1.1063 | 0.5282 | |
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| 1.1028 | 8.0 | 864 | 1.1174 | 0.5317 | |
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| 1.1023 | 9.0 | 972 | 1.1123 | 0.5458 | |
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| 1.0572 | 10.0 | 1080 | 1.0755 | 0.5739 | |
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| 0.9874 | 11.0 | 1188 | 1.0952 | 0.5599 | |
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| 1.0132 | 12.0 | 1296 | 1.0767 | 0.5775 | |
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| 0.9898 | 13.0 | 1404 | 1.0616 | 0.5880 | |
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| 1.0182 | 14.0 | 1512 | 1.0420 | 0.5810 | |
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| 0.9889 | 15.0 | 1620 | 1.0441 | 0.6021 | |
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| 0.9446 | 16.0 | 1728 | 1.0512 | 0.6021 | |
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| 0.9519 | 17.0 | 1836 | 1.0737 | 0.5704 | |
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| 0.9458 | 18.0 | 1944 | 1.0471 | 0.5669 | |
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| 0.9347 | 19.0 | 2052 | 1.0513 | 0.5845 | |
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| 0.8863 | 20.0 | 2160 | 1.0428 | 0.5951 | |
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| 0.8507 | 21.0 | 2268 | 1.0527 | 0.5951 | |
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| 0.8712 | 22.0 | 2376 | 1.0560 | 0.5915 | |
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| 0.8857 | 23.0 | 2484 | 1.0447 | 0.5880 | |
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| 0.8848 | 24.0 | 2592 | 1.0512 | 0.5951 | |
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| 0.904 | 25.0 | 2700 | 1.0513 | 0.5845 | |
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| 0.943 | 26.0 | 2808 | 1.0480 | 0.5880 | |
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| 0.862 | 27.0 | 2916 | 1.0476 | 0.5880 | |
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| 0.864 | 28.0 | 3024 | 1.0469 | 0.5880 | |
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| 0.8879 | 29.0 | 3132 | 1.0468 | 0.5880 | |
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| 0.8099 | 30.0 | 3240 | 1.0468 | 0.5880 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.3.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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