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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21K |
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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: finetuned-cards-blackjack |
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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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# finetuned-cards-blackjack |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21K](https://huggingface.co/google/vit-base-patch16-224-in21K) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9121 |
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- Accuracy: 0.7710 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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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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| 3.1307 | 0.24 | 100 | 3.0180 | 0.2093 | |
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| 2.7372 | 0.48 | 200 | 2.5301 | 0.2762 | |
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| 2.4969 | 0.73 | 300 | 2.1760 | 0.3439 | |
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| 2.1973 | 0.97 | 400 | 2.0103 | 0.3756 | |
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| 1.8847 | 1.21 | 500 | 1.8402 | 0.4108 | |
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| 1.746 | 1.45 | 600 | 1.7051 | 0.4803 | |
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| 1.8698 | 1.69 | 700 | 1.5985 | 0.4889 | |
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| 1.7261 | 1.94 | 800 | 1.4312 | 0.5840 | |
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| 1.7385 | 2.18 | 900 | 1.3585 | 0.6286 | |
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| 1.5873 | 2.42 | 1000 | 1.2374 | 0.6758 | |
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| 1.4775 | 2.66 | 1100 | 1.1352 | 0.7024 | |
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| 1.2697 | 2.91 | 1200 | 1.1044 | 0.7093 | |
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| 1.2137 | 3.15 | 1300 | 1.0006 | 0.7616 | |
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| 1.423 | 3.39 | 1400 | 0.9589 | 0.7744 | |
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| 1.0098 | 3.63 | 1500 | 0.9360 | 0.7684 | |
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| 1.1325 | 3.87 | 1600 | 0.9121 | 0.7710 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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