Update README.md

tabla de métricas

README.md

@@ -6,96 +6,17 @@ 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
+## Training and Validation Metrics
+
+| Epoch | Training Loss | Validation Loss | Accuracy |
+|-------|---------------|-----------------|----------|
+| 1     | No log        | 0.943289        | 0.856589 |
+| 2     | No log        | 0.502713        | 0.953488 |
+| 3     | No log        | 0.333218        | 0.953488 |
+| 4     | 0.682700      | 0.248680        | 0.976744 |
+| 5     | 0.682700      | 0.210933        | 0.972868 |
+| 6     | 0.682700      | 0.193087        | 0.976744 |
+| 7     | 0.682700      | 0.180329        | 0.976744 |
+| 8     | 0.124400      | 0.173558        | 0.976744 |
+| 9     | 0.124400      | 0.169496        | 0.976744 |
+| 10    | 0.124400      | 0.168264        | 0.976744 |