Model save
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README.md
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metrics:
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- name: F1
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type: f1
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value: 0.
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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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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- F1: 0.
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## Model description
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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:
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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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| 1.
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### Framework versions
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metrics:
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- name: F1
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type: f1
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value: 0.7716535433070866
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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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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8842
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- F1: 0.7717
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## Model description
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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 | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.731 | 0.98 | 35 | 1.6748 | 0.3386 |
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| 1.5196 | 1.99 | 71 | 1.4890 | 0.4173 |
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| 1.3727 | 2.99 | 107 | 1.2938 | 0.5276 |
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| 1.2194 | 4.0 | 143 | 1.1519 | 0.6457 |
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| 1.1538 | 4.98 | 178 | 1.0544 | 0.6693 |
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| 1.0379 | 5.99 | 214 | 0.9852 | 0.7165 |
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| 1.0232 | 6.99 | 250 | 0.9439 | 0.7323 |
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| 0.9586 | 8.0 | 286 | 0.9136 | 0.7480 |
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| 0.9374 | 8.98 | 321 | 0.8946 | 0.7638 |
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| 0.96 | 9.79 | 350 | 0.8842 | 0.7717 |
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### Framework versions
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