SoulPerforms
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End of training
Browse files
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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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: 1.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 40 | 1.
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| No log | 2.0 | 80 | 1.
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| No log | 3.0 | 120 | 1.
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| No log | 4.0 | 160 | 1.
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| No log | 5.0 | 200 | 1.
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| No log | 6.0 | 240 | 1.
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| No log | 7.0 | 280 | 1.
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| No log | 8.0 | 320 | 1.
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| No log | 9.0 | 360 | 1.
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| No log | 10.0 | 400 | 1.
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.51875
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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: 1.3160
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- Accuracy: 0.5188
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 40 | 1.8770 | 0.3812 |
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| No log | 2.0 | 80 | 1.6143 | 0.45 |
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| No log | 3.0 | 120 | 1.5482 | 0.425 |
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| No log | 4.0 | 160 | 1.4722 | 0.4625 |
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| No log | 5.0 | 200 | 1.4074 | 0.5 |
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| No log | 6.0 | 240 | 1.3503 | 0.5125 |
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| No log | 7.0 | 280 | 1.3016 | 0.5687 |
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| No log | 8.0 | 320 | 1.3337 | 0.5188 |
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| No log | 9.0 | 360 | 1.3364 | 0.5188 |
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| No log | 10.0 | 400 | 1.3169 | 0.5188 |
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### Framework versions
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model.safetensors
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