The image shows an example of the Metrics section.
On the left, accuracy figures are shown, with a figure of Training accuracy 0.6957, and a figure of Validation accuracy 0.7168.
To the right, the image shows a line chart displaying the loss function with each successive training epoch, with that loss being evaluated for the sample of training records.
A blue curve shows shows the fine-tuned model’s training loss function starts at about loss 2.5 at 1st epoch, descends to about 1.9 at 2nd epoch, about 1.7 at 3rd epoch, 1.5 by the 6th epoch, and becomes a very shallow curve flattening to about 1.45 through the 12th epoch.
A green curve shows the fine-tuned model’s validation loss. It starts at about loss 1.8 at 1st epoch, descends to about 1.6 at 2nd epoch, about 1.45 at 3rd epoch, about 1.3 by the 6th epoch, and becomes a very shallow curve flattening to about 1.35 through the 12th epoch.