---
license: apache-2.0
language:
- en
metrics:
- accuracy
pipeline_tag: image-classification
---
model-index:
  - name: modelo_prediccion_enfermedades_pepinos
    results:
      - task:
          type: image-classification
        dataset:
          name: cucumber-disease-recognition-dataset
          type: image_classification
        metrics:
          - name: Training Loss (Epoch 4)
            type: training_loss
            value: 0.682700
          - name: Validation Loss (Epoch 4)
            type: validation_loss
            value: 0.248680
          - name: Accuracy (Epoch 4)
            type: accuracy
            value: 0.976744
          - name: Training Loss (Epoch 5)
            type: training_loss
            value: 0.682700
          - name: Validation Loss (Epoch 5)
            type: validation_loss
            value: 0.210933
          - name: Accuracy (Epoch 5)
            type: accuracy
            value: 0.972868
          - name: Training Loss (Epoch 6)
            type: training_loss
            value: 0.682700
          - name: Validation Loss (Epoch 6)
            type: validation_loss
            value: 0.193087
          - name: Accuracy (Epoch 6)
            type: accuracy
            value: 0.976744
          - name: Training Loss (Epoch 7)
            type: training_loss
            value: 0.682700
          - name: Validation Loss (Epoch 7)
            type: validation_loss
            value: 0.180329
          - name: Accuracy (Epoch 7)
            type: accuracy
            value: 0.976744
          - name: Training Loss (Epoch 8)
            type: training_loss
            value: 0.124400
          - name: Validation Loss (Epoch 8)
            type: validation_loss
            value: 0.173558
          - name: Accuracy (Epoch 8)
            type: accuracy
            value: 0.976744
          - name: Training Loss (Epoch 9)
            type: training_loss
            value: 0.124400
          - name: Validation Loss (Epoch 9)
            type: validation_loss
            value: 0.169496
          - name: Accuracy (Epoch 9)
            type: accuracy
            value: 0.976744
          - name: Training Loss (Epoch 10)
            type: training_loss
            value: 0.124400
          - name: Validation Loss (Epoch 10)
            type: validation_loss
            value: 0.168264
          - name: Accuracy (Epoch 10)
            type: accuracy
            value: 0.976744
          - name: Evaluation Loss
            type: eval_loss
            value: 0.168263778090477
          - name: Evaluation Accuracy
            type: eval_accuracy
            value: 0.9767441860465116
          - name: Evaluation Runtime
            type: eval_runtime
            value: 4.0429
          - name: Evaluation Samples per Second
            type: eval_samples_per_second
            value: 63.816
          - name: Evaluation Steps per Second
            type: eval_steps_per_second
            value: 8.162
          - name: Epoch
            type: epoch
            value: 10.0
        source:
          name: riabayonaor
          url: https://huggingface.co/riabayonaor/modelo_prediccion_enfermedades_pepinos