| library_name: transformers | |
| license: apache-2.0 | |
| base_model: microsoft/resnet-18 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: results | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # results | |
| This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0032 | |
| - Accuracy: 0.9997 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 5e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.4431 | 1.0 | 1744 | 0.2970 | 0.8746 | | |
| | 0.3311 | 2.0 | 3488 | 0.1297 | 0.9613 | | |
| | 0.1967 | 3.0 | 5232 | 0.0333 | 0.9945 | | |
| | 0.0671 | 4.0 | 6976 | 0.0094 | 0.9987 | | |
| | 0.1663 | 5.0 | 8720 | 0.0032 | 0.9997 | | |
| ### Framework versions | |
| - Transformers 4.44.2 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.19.1 | |