In the first epoch of training, the model achieved a loss of 115,231,383,552. This indicates the initial performance of the model and its progress towards optimization. The training process involves iterating through the entire dataset multiple times, adjusting the model's parameters based on the calculated loss. The loss value reflects the discrepancy between the model's predictions and the actual target values. A lower loss generally indicates better model performance.

Epoch 1/10: Training Loss - 115,231,383,552

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