update model card README.md
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README.md
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name: imagefolder
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type: imagefolder
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config: MaxP--agro_riego
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split:
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args: MaxP--agro_riego
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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: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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### Framework versions
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- Transformers 4.
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- Pytorch 1.13.
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- Datasets 2.
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- Tokenizers 0.13.2
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name: imagefolder
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type: imagefolder
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config: MaxP--agro_riego
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split: test
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args: MaxP--agro_riego
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metrics:
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- name: F1
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type: f1
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value: 0.9885057471264367
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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: 0.0410
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- F1: 0.9885
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.4811 | 0.34 | 100 | 0.4447 | 0.7468 |
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| 0.2985 | 0.67 | 200 | 0.2198 | 0.8793 |
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| 0.1199 | 1.01 | 300 | 0.0846 | 0.9709 |
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| 0.128 | 1.35 | 400 | 0.1119 | 0.9574 |
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| 0.1387 | 1.68 | 500 | 0.1222 | 0.9496 |
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| 0.0899 | 2.02 | 600 | 0.0800 | 0.9765 |
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| 0.0048 | 2.36 | 700 | 0.0731 | 0.9769 |
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| 0.0195 | 2.69 | 800 | 0.0410 | 0.9885 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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