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judith0
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clasificacion_Ine_Pass

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results
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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Apr08_04-52-43_e7c0f18713ab/events.out.tfevents.1712552007.e7c0f18713ab.441.0 +2 -2
README.md CHANGED
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9803921568627451
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1283
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- - Accuracy: 0.9804
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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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- | 0.9149 | 0.93 | 10 | 0.3354 | 0.9085 |
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- | 0.2319 | 1.95 | 21 | 0.1467 | 0.9739 |
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- | 0.1178 | 2.79 | 30 | 0.1283 | 0.9804 |
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  ### Framework versions
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- - Transformers 4.35.2
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- - Pytorch 2.1.0+cu121
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- - Datasets 2.17.0
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- - Tokenizers 0.15.1
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9764705882352941
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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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1135
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+ - Accuracy: 0.9765
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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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+ | 1.2376 | 1.0 | 12 | 0.5182 | 0.7471 |
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+ | 0.4743 | 2.0 | 24 | 0.1666 | 0.9765 |
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+ | 0.2261 | 3.0 | 36 | 0.1135 | 0.9765 |
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  ### Framework versions
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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