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Model save
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README.md
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---
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license: apache-2.0
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tags:
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- image-classification
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- beans-classification
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- generated_from_trainer
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metrics:
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- accuracy
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widget:
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- src: >-
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https://huggingface.co/jolual2747/vit-model-jose-alcocer/resolve/main/healthy.jpeg
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example_title: Healthy
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- src: >-
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https://huggingface.co/jolual2747/vit-model-jose-alcocer/resolve/main/bean_rust.jpeg
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example_title: Bean Rust
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model-index:
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- name: vit-model-jose-alcocer
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results: []
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# vit-model-jose-alcocer
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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
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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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## Intended uses & limitations
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### Training results
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| Training Loss | Epoch
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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---
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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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metrics:
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- accuracy
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model-index:
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- name: vit-model-jose-alcocer
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results: []
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# vit-model-jose-alcocer
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0879
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- Accuracy: 0.7048
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## Model description
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More information needed
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## Intended uses & limitations
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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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| 2.197 | 1.6287 | 500 | 1.4172 | 0.6444 |
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| 0.851 | 3.2573 | 1000 | 1.0879 | 0.7048 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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runs/Apr23_04-20-18_cfc1d8483d59/events.out.tfevents.1713846317.cfc1d8483d59.418.0
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size
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size 9500
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