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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: vit-base-patch16-224-in21k |
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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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# vit-base-patch16-224-in21k |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8270 |
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- F1: 0.9461 |
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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: 2e-05 |
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- train_batch_size: 48 |
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- eval_batch_size: 48 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 10 | 1.6377 | 0.6304 | |
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| No log | 2.0 | 20 | 1.4787 | 0.8389 | |
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| No log | 3.0 | 30 | 1.3397 | 0.8549 | |
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| No log | 4.0 | 40 | 1.2044 | 0.9127 | |
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| No log | 5.0 | 50 | 1.0852 | 0.9119 | |
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| No log | 6.0 | 60 | 0.9919 | 0.9125 | |
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| No log | 7.0 | 70 | 0.9203 | 0.9259 | |
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| No log | 8.0 | 80 | 0.8691 | 0.9393 | |
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| No log | 9.0 | 90 | 0.8390 | 0.9461 | |
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| No log | 10.0 | 100 | 0.8270 | 0.9461 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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