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--- |
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license: apache-2.0 |
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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: beit-base-patch16-224-pt22k-finetuned-IDRiD |
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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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# beit-base-patch16-224-pt22k-finetuned-IDRiD |
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1881 |
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- Accuracy: 0.5714 |
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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: 5e-05 |
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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: 10 |
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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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| No log | 1.0 | 3 | 1.5369 | 0.4762 | |
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| No log | 2.0 | 6 | 1.4999 | 0.3333 | |
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| No log | 3.0 | 9 | 1.3085 | 0.4524 | |
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| 1.6051 | 4.0 | 12 | 1.3072 | 0.4524 | |
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| 1.6051 | 5.0 | 15 | 1.2578 | 0.5238 | |
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| 1.6051 | 6.0 | 18 | 1.2376 | 0.5476 | |
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| 1.3665 | 7.0 | 21 | 1.2073 | 0.5714 | |
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| 1.3665 | 8.0 | 24 | 1.1972 | 0.5714 | |
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| 1.3665 | 9.0 | 27 | 1.1942 | 0.5714 | |
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| 1.3024 | 10.0 | 30 | 1.1881 | 0.5714 | |
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### Framework versions |
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- Transformers 4.30.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.13.3 |
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