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Training phase
Epoch 1 - Train Loss: 0.4776, Val Loss: 1.0034 precision recall f1-score support
bot 0.60 1.00 0.75 1992
human 0.99 0.34 0.51 2008
accuracy 0.67
Epoch 2 - Train Loss: 0.3890, Val Loss: 0.3751 precision recall f1-score support
bot 0.80 0.86 0.83 1992
human 0.85 0.78 0.82 2008
accuracy 0.82
Epoch 3 - Train Loss: 0.3466, Val Loss: 0.6948 precision recall f1-score support
bot 0.96 0.38 0.55 1992
human 0.62 0.99 0.76 2008
accuracy 0.69
Epoch 4 - Train Loss: 0.3166, Val Loss: 0.8864 precision recall f1-score support
bot 1.00 0.21 0.35 1992
human 0.56 1.00 0.72 2008
accuracy 0.61
Epoch 5 - Train Loss: 0.2824, Val Loss: 0.7895 precision recall f1-score support
bot 0.98 0.31 0.47 1992
human 0.59 0.99 0.74 2008
accuracy 0.66 4000
Epoch 6 - Train Loss: 0.2310, Val Loss: 1.2581 precision recall f1-score support
bot 0.99 0.20 0.33 1992
human 0.56 1.00 0.72 2008
accuracy 0.60
Epoch 7 - Train Loss: 0.2132, Val Loss: 0.7035 precision recall f1-score support
bot 0.97 0.47 0.64 1992
human 0.65 0.98 0.79 2008
accuracy 0.73 4000
Epoch 8 - Train Loss: 0.1991, Val Loss: 1.5236 precision recall f1-score support
bot 0.99 0.15 0.27 1992
human 0.54 1.00 0.70 2008
accuracy 0.58
Epoch 9 - Train Loss: 0.1904, Val Loss: 1.1593 precision recall f1-score support
bot 0.98 0.27 0.43 1992
human 0.58 1.00 0.73 2008
accuracy 0.64
Epoch 10 - Train Loss: 0.1904, Val Loss: 1.3020 precision recall f1-score support
bot 0.98 0.24 0.39 1992
human 0.57 1.00 0.73 2008
accuracy 0.62
Confusion Matrix
Training Matrix
