Model save
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README.md
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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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- image-classification
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- generated_from_trainer
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datasets:
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- renovation
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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: renovation
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config: default
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split: validation
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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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# vit-base-beans-demo-v5
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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
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It achieves the following results on the evaluation set:
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- Loss:
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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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| 0.
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### Framework versions
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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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datasets:
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- renovation
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name: Image Classification
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type: image-classification
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dataset:
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name: renovation
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type: renovation
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config: default
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split: validation
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6986301369863014
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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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# vit-base-beans-demo-v5
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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 renovation dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0644
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- Accuracy: 0.6986
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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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| 0.6438 | 0.81 | 100 | 0.9295 | 0.6347 |
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| 0.3105 | 1.61 | 200 | 0.9350 | 0.6575 |
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| 0.0634 | 2.42 | 300 | 1.0782 | 0.6895 |
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| 0.0257 | 3.23 | 400 | 1.0644 | 0.6986 |
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### Framework versions
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model.safetensors
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runs/Mar23_01-10-51_3ec072334407/events.out.tfevents.1711156269.3ec072334407.4424.2
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