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--- |
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license: apache-2.0 |
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base_model: microsoft/beit-base-patch16-224 |
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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: clasificador-de-pesos |
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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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# clasificador-de-pesos |
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0739 |
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- Accuracy: 0.9843 |
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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: 0.0005 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 8 |
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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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| 1.0999 | 0.96 | 13 | 0.7987 | 0.6440 | |
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| 0.6342 | 2.0 | 27 | 0.2414 | 0.9424 | |
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| 0.4882 | 2.96 | 40 | 0.1646 | 0.9634 | |
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| 0.463 | 4.0 | 54 | 0.2528 | 0.9424 | |
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| 0.4609 | 4.96 | 67 | 0.1130 | 0.9791 | |
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| 0.4251 | 6.0 | 81 | 0.1304 | 0.9634 | |
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| 0.3802 | 6.96 | 94 | 0.0739 | 0.9843 | |
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| 0.4147 | 7.7 | 104 | 0.0675 | 0.9843 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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