| Tipo de Projeto | Modelo Selecionado | Linguagem |
|---|---|---|
| Classificação de Imagens |
ResNet50 | Tensorflow |
O modelo treinado possui performance de 0.9245%.
Clique para expandir!
Epoch 1/10
6/6 [==============================] - 16s 2s/step - loss: 1.2724 - accuracy: 0.4920 - val_loss: 0.6448 - val_accuracy: 0.7736
Epoch 2/10
6/6 [==============================] - 11s 2s/step - loss: 0.6347 - accuracy: 0.7487 - val_loss: 0.4063 - val_accuracy: 0.9245
Epoch 3/10
6/6 [==============================] - 8s 1s/step - loss: 0.4444 - accuracy: 0.8289 - val_loss: 0.4285 - val_accuracy: 0.8491
Epoch 4/10
6/6 [==============================] - 7s 1s/step - loss: 0.2704 - accuracy: 0.9198 - val_loss: 0.3364 - val_accuracy: 0.9245
Epoch 5/10
6/6 [==============================] - 7s 1s/step - loss: 0.2234 - accuracy: 0.9198 - val_loss: 0.4044 - val_accuracy: 0.8491
Epoch 6/10
6/6 [==============================] - 7s 1s/step - loss: 0.1736 - accuracy: 0.9358 - val_loss: 0.2674 - val_accuracy: 0.9057
Epoch 7/10
6/6 [==============================] - 7s 1s/step - loss: 0.1625 - accuracy: 0.9519 - val_loss: 0.2651 - val_accuracy: 0.9057
Epoch 8/10
6/6 [==============================] - 8s 1s/step - loss: 0.1231 - accuracy: 0.9572 - val_loss: 0.2541 - val_accuracy: 0.9057
Epoch 9/10
6/6 [==============================] - 7s 1s/step - loss: 0.0947 - accuracy: 0.9626 - val_loss: 0.2606 - val_accuracy: 0.9245
Epoch 10/10
6/6 [==============================] - 7s 1s/step - loss: 0.0761 - accuracy: 0.9786 - val_loss: 0.2467 - val_accuracy: 0.9245
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Test accuracy: 1.0
Test loss: 0.058346349745988846
Nessa seção você deve colocar qualquer evidência do treinamento, como por exemplo gráficos de perda, performance, matriz de confusão etc.
Perdas X Épocas:
Acurácia:
Link: RoboFlow
Link: HugginhFace