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Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 2.208200 2.119271 0.000000 0.000000 0.000000 0.980338 2 1.417800 1.337759 0.000000 0.000000 0.000000 0.980338 3 0.602800 0.555833 0.000000 0.000000 0.000000 0.980338 4 0.254100 0.233581 0.000000 0.000000 0.000000 0.980338 5 0.183300 0.186824 0.000000 0.000000 0.000000 0.980338 6 0.173600 0.176202 0.000000 0.000000 0.000000 0.980338 7 0.178000 0.171230 0.000000 0.000000 0.000000 0.980338 8 0.163400 0.164535 0.000000 0.000000 0.000000 0.980338 9 0.127000 0.114168 0.000000 0.000000 0.000000 0.980335 10 0.090600 0.103904 0.154052 0.093287 0.116205 0.981430 11 0.089800 0.100236 0.176934 0.163386 0.169891 0.981809 12 0.077900 0.092586 0.288121 0.267458 0.277405 0.983225 13 0.067800 0.089250 0.304672 0.297115 0.300846 0.983307 14 0.059400 0.086743 0.327498 0.327851 0.327674 0.983603 15 0.055400 0.088072 0.337137 0.350499 0.343688 0.983988 16 0.046800 0.086495 0.363776 0.384470 0.373837 0.984486 17 0.040500 0.086944 0.372215 0.382853 0.377459 0.984484 18 0.032100 0.085658 0.384933 0.402265 0.393408 0.984912 19 0.031100 0.088963 0.380247 0.415206 0.396958 0.985005 20 0.025200 0.088633 0.384929 0.407657 0.395967 0.984789 21 0.027400 0.087063 0.375304 0.416285 0.394733 0.984531 22 0.021900 0.087375 0.411872 0.424643 0.418160 0.985287 23 0.022700 0.087777 0.405183 0.438393 0.421134 0.985056 24 0.020800 0.086840 0.403841 0.436506 0.419539 0.985085

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108M params
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F32
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