| | --- |
| | license: apache-2.0 |
| | base_model: microsoft/beit-base-patch16-224-pt22k-ft22k |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: testTigAluminium1 |
| | 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. --> |
| |
|
| | # testTigAluminium1 |
| |
|
| | This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0590 |
| | - Accuracy: 0.98 |
| |
|
| | ## 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 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 128 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | | 0.2375 | 0.9858 | 52 | 0.1549 | 0.952 | |
| | | 0.1213 | 1.9905 | 105 | 0.1028 | 0.9662 | |
| | | 0.0967 | 2.9953 | 158 | 0.0909 | 0.9671 | |
| | | 0.0766 | 4.0 | 211 | 0.0734 | 0.972 | |
| | | 0.0741 | 4.9289 | 260 | 0.0590 | 0.98 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.44.0 |
| | - Pytorch 2.4.0 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.19.1 |
| |
|
