0/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.696, Loss: 0.425 Epoch 1 Batch 381/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.705, Loss: 0.457 Epoch 1 Batch 382/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.714, Loss: 0.462 Epoch 1 Batch 383/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.703, Loss: 0.420 Epoch 1 Batch 384/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.708, Loss: 0.432 Epoch 1 Batch 385/1077 - Train Accuracy: 0.686, Validation Accuracy: 0.697, Loss: 0.436 Epoch 1 Batch 386/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.705, Loss: 0.417 Epoch 1 Batch 387/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.689, Loss: 0.416 Epoch 1 Batch 388/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.672, Loss: 0.446 Epoch 1 Batch 389/1077 - Train Accuracy: 0.701, Validation Accuracy: 0.660, Loss: 0.441 Epoch 1 Batch 390/1077 - Train Accuracy: 0.662, Validation Accuracy: 0.684, Loss: 0.465 Epoch 1 Batch 391/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.673, Loss: 0.440 Epoch 1 Batch 392/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.669, Loss: 0.430 Epoch 1 Batch 393/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.673, Loss: 0.411 Epoch 1 Batch 394/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.679, Loss: 0.448 Epoch 1 Batch 395/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.685, Loss: 0.415 Epoch 1 Batch 396/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.687, Loss: 0.448 Epoch 1 Batch 397/1077 - Train Accuracy: 0.720, Validation Accuracy: 0.693, Loss: 0.434 Epoch 1 Batch 398/1077 - Train Accuracy: 0.692, Validation Accuracy: 0.692, Loss: 0.452 Epoch 1 Batch 399/1077 - Train Accuracy: 0.633, Validation Accuracy: 0.677, Loss: 0.451 Epoch 1 Batch 400/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.676, Loss: 0.452 Epoch 1 Batch 401/1077 - Train Accuracy: 0.690, Validation Accuracy: 0.694, Loss: 0.418 Epoch 1 Batch 402/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.679, Loss: 0.412 Epoch 1 Batch 403/1077 - Train Accuracy: 0.670, Validation Accuracy: 0.674, Loss: 0.455 Epoch 1 Batch 404/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.668, Loss: 0.417 Epoch 1 Batch 405/1077 - Train Accuracy: 0.688, Validation Accuracy: 0.677, Loss: 0.471 Epoch 1 Batch 406/1077 - Train Accuracy: 0.745, Validation Accuracy: 0.681, Loss: 0.425 Epoch 1 Batch 407/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.681, Loss: 0.451 Epoch 1 Batch 408/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.698, Loss: 0.434 Epoch 1 Batch 409/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.701, Loss: 0.453 Epoch 1 Batch 410/1077 - Train Accuracy: 0.666, Validation Accuracy: 0.710, Loss: 0.461 Epoch 1 Batch 411/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.690, Loss: 0.430 Epoch 1 Batch 412/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.695, Loss: 0.423 Epoch 1 Batch 413/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.691, Loss: 0.420 Epoch 1 Batch 414/1077 - Train Accuracy: 0.670, Validation Accuracy: 0.681, Loss: 0.461 Epoch 1 Batch 415/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.690, Loss: 0.403 Epoch 1 Batch 416/1077 - Train Accuracy: 0.710, Validation Accuracy: 0.691, Loss: 0.425 Epoch 1 Batch 417/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.684, Loss: 0.447 Epoch 1 Batch 418/1077 - Train Accuracy: 0.697, Validation Accuracy: 0.701, Loss: 0.433 Epoch 1 Batch 419/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.703, Loss: 0.437 Epoch 1 Batch 420/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.701, Loss: 0.406 Epoch 1 Batch 421/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.695, Loss: 0.440 Epoch 1 Batch 422/1077 - Train Accuracy: 0.692, Validation Accuracy: 0.691, Loss: 0.427 Epoch 1 Batch 423/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.696, Loss: 0.427 Epoch 1 Batch 424/1077 - Train Accuracy: 0.688, Validation Accuracy: 0.681, Loss: 0.440 Epoch 1 Batch 425/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.682, Loss: 0.415 Epoch 1 Batch 426/1077 - Train Accuracy: 0.623, Validation Accuracy: 0.681, Loss: 0.447 Epoch 1 Batch 427/1077 - Train Accuracy: 0.667, Validation Accuracy: 0.695, Loss: 0.437 Epoch 1 Batch 428/1077 - Train Accuracy: 0.687, Validation Accuracy: 0.682, Loss: 0.401 Epoch 1 Batch 429/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.696, Loss: 0.423 Epoch 1 Batch 430/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.671, Loss: 0.434 Epoch 1 Batch 431/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.680, Loss: 0.434 Epoch 1 Batch 432/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.696, Loss: 0.420 Epoch 1 Batch 433/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.686, Loss: 0.439 Epoch 1 Batch 434/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.680, Loss: 0.431 Epoch 1 Batch 435/1077 - Train Accuracy: 0.688, Validation Accuracy: 0.681, Loss: 0.458 Epoch 1 Batch 436/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.681, Loss: 0.413 Epoch 1 Batch 437/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.685, Loss: 0.442 Epoch 1 Batch 438/1077 - Train Accuracy: 0.689, Validation Accuracy: 0.701, Loss: 0.436 Epoch 1 Batch 439/1077 - Train Accuracy: 0.698, Validation Accuracy: 0.706, Loss: 0.447 Epoch 1 Batch 440/1077 - Train Accuracy: 0.701, Validation Accuracy: 0.697, Loss: 0.447 Epoch 1 Batch 441/1077 - Train Accuracy: 0.681, Validation Accuracy: 0.703, Loss: 0.421 Epoch 1 Batch 442/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.708, Loss: 0.422 Epoch 1 Batch 443/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.686, Loss: 0.408 Epoch 1 Batch 444/1077 - Train Accuracy: 0.692, Validation Accuracy: 0.696, Loss: 0.433 Epoch 1 Batch 445/1077 - Train Accuracy: 0.654, Validation Accuracy: 0.671, Loss: 0.447 Epoch 1 Batch 446/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.668, Loss: 0.406 Epoch 1 Batch 447/1077 - Train Accuracy: 0.665, Validation Accuracy: 0.657, Loss: 0.434 Epoch 1 Batch 448/1077 - Train Accuracy: 0.659, Validation Accuracy: 0.650, Loss: 0.434 Epoch 1 Batch 449/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.683, Loss: 0.457 Epoch 1 Batch 450/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.657, Loss: 0.416 Epoch 1 Batch 451/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.648, Loss: 0.401 Epoch 1 Batch 452/1077 - Train Accuracy: 0.678, Validation Accuracy: 0.681, Loss: 0.454 Epoch 1 Batch 453/1077 - Train Accuracy: 0.724, Validation Accuracy: 0.672, Loss: 0.414 Epoch 1 Batch 454/1077 - Train Accuracy: 0.679, Validation Accuracy: 0.670, Loss: 0.458 Epoch 1 Batch 455/1077 - Train Accuracy: 0.685, Validation Accuracy: 0.682, Loss: 0.415 Epoch 1 Batch 456/1077 - Train Accuracy: 0.687, Validation Accuracy: 0.673, Loss: 0.425 Epoch 1 Batch 457/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.699, Loss: 0.428 Epoch 1 Batch 458/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.682, Loss: 0.448 Epoch 1 Batch 459/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.689, Loss: 0.404 Epoch 1 Batch 460/1077 - Train Accuracy: 0.698, Validation Accuracy: 0.687, Loss: 0.443 Epoch 1 Batch 461/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.684, Loss: 0.415 Epoch 1 Batch 462/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.669, Loss: 0.420 Epoch 1 Batch 463/1077 - Train Accuracy: 0.668, Validation Accuracy: 0.668, Loss: 0.439 Epoch 1 Batch 464/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.686, Loss: 0.416 Epoch 1 Batch 465/1077 - Train Accuracy: 0.694, Validation Accuracy: 0.686, Loss: 0.479 Epoch 1 Batch 466/1077 - Train Accuracy: 0.701, Validation Accuracy: 0.697, Loss: 0.452 Epoch 1 Batch 467/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.675, Loss: 0.406 Epoch 1 Batch 468/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.672, Loss: 0.424 Epoch 1 Batch 469/1077 - Train Accuracy: 0.689, Validation Accuracy: 0.657, Loss: 0.434 Epoch 1 Batch 470/1077 - Train Accuracy: 0.679, Validation Accuracy: 0.686, Loss: 0.452 Epoch 1 Batch 471/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.702, Loss: 0.417 Epoch 1 Batch 472/1077 - Train Accuracy: 0.701, Validation Accuracy: 0.703, Loss: 0.398 Epoch 1 Batch 473/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.697, Loss: 0.427 Epoch 1 Batch 474/1077 - Train Accuracy: 0.719, Validation Accuracy: 0.690, Loss: 0.440 Epoch 1 Batch 475/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.692, Loss: 0.414 Epoch 1 Batch 476/1077 - Train Accuracy: 0.708, Validation Accuracy: 0.689, Loss: 0.429 Epoch 1 Batch 477/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.690, Loss: 0.394 Epoch 1 Batch 478/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.696, Loss: 0.463 Epoch 1 Batch 479/1077 - Train Accuracy: 0.669, Validation Accuracy: 0.695, Loss: 0.429 Epoch 1 Batch 480/1077 - Train Accuracy: 0.731, Validation Accuracy: 0.698, Loss: 0.430 Epoch 1 Batch 481/1077 - Train Accuracy: 0.697, Validation Accuracy: 0.697, Loss: 0.419 Epoch 1 Batch 482/1077 - Train Accuracy: 0.699, Validation Accuracy: 0.711, Loss: 0.427 Epoch 1 Batch 483/1077 - Train Accuracy: 0.685, Validation Accuracy: 0.689, Loss: 0.434 Epoch 1 Batch 484/1077 - Train Accuracy: 0.708, Validation Accuracy: 0.690, Loss: 0.417 Epoch 1 Batch 485/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.687, Loss: 0.429 Epoch 1 Batch 486/1077 - Train Accuracy: 0.697, Validation Accuracy: 0.676, Loss: 0.419 Epoch 1 Batch 487/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.680, Loss: 0.436 Epoch 1 Batch 488/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.680, Loss: 0.435 Epoch 1 Batch 489/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.697, Loss: 0.401 Epoch 1 Batch 490/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.699, Loss: 0.435 Epoch 1 Batch 491/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.711, Loss: 0.421 Epoch 1 Batch 492/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.720, Loss: 0.438 Epoch 1 Batch 493/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.711, Loss: 0.383 Epoch 1 Batch 494/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.718, Loss: 0.408 Epoch 1 Batch 495/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.713, Loss: 0.410 Epoch 1 Batch 496/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.706, Loss: 0.431 Epoch 1 Batch 497/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.708, Loss: 0.460 Epoch 1 Batch 498/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.702, Loss: 0.407 Epoch 1 Batch 499/1077 - Train Accuracy: 0.698, Validation Accuracy: 0.703, Loss: 0.403 Epoch 1 Batch 500/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.708, Loss: 0.414 Epoch 1 Batch 501/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.707, Loss: 0.418 Epoch 1 Batch 502/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.691, Loss: 0.419 Epoch 1 Batch 503/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.700, Loss: 0.417 Epoch 1 Batch 504/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.692, Loss: 0.436 Epoch 1 Batch 505/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.708, Loss: 0.385 Epoch 1 Batch 506/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.707, Loss: 0.419 Epoch 1 Batch 507/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.704, Loss: 0.414 Epoch 1 Batch 508/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.698, Loss: 0.401 Epoch 1 Batch 509/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.687, Loss: 0.432 Epoch 1 Batch 510/1077 - Train Accuracy: 0.699, Validation Accuracy: 0.699, Loss: 0.400 Epoch 1 Batch 511/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.706, Loss: 0.419 Epoch 1 Batch 512/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.716, Loss: 0.404 Epoch 1 Batch 513/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.718, Loss: 0.424 Epoch 1 Batch 514/1077 - Train Accuracy: 0.694, Validation Accuracy: 0.713, Loss: 0.421 Epoch 1 Batch 515/1077 - Train Accuracy: 0.699, Validation Accuracy: 0.703, Loss: 0.444 Epoch 1 Batch 516/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.678, Loss: 0.382 Epoch 1 Batch 517/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.692, Loss: 0.412 Epoch 1 Batch 518/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.694, Loss: 0.404 Epoch 1 Batch 519/1077 - Train Accuracy: 0.703, Validation Accuracy: 0.699, Loss: 0.415 Epoch 1 Batch 520/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.692, Loss: 0.380 Epoch 1 Batch 521/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.711, Loss: 0.383 Epoch 1 Batch 522/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.710, Loss: 0.426 Epoch 1 Batch 523/1077 - Train Accuracy: 0.680, Validation Accuracy: 0.684, Loss: 0.430 Epoch 1 Batch 524/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.664, Loss: 0.425 Epoch 1 Batch 525/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.660, Loss: 0.406 Epoch 1 Batch 526/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.681, Loss: 0.415 Epoch 1 Batch 527/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.695, Loss: 0.419 Epoch 1 Batch 528/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.695, Loss: 0.412 Epoch 1 Batch 529/1077 - Train Accuracy: 0.703, Validation Accuracy: 0.698, Loss: 0.422 Epoch 1 Batch 530/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.698, Loss: 0.438 Epoch 1 Batch 531/1077 - Train Accuracy: 0.699, Validation Accuracy: 0.720, Loss: 0.407 Epoch 1 Batch 532/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.709, Loss: 0.447 Epoch 1 Batch 533/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.686, Loss: 0.425 Epoch 1 Batch 534/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.695, Loss: 0.414 Epoch 1 Batch 535/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.688, Loss: 0.412 Epoch 1 Batch 536/1077 - Train Accuracy: 0.720, Validation Accuracy: 0.706, Loss: 0.393 Epoch 1 Batch 537/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.698, Loss: 0.411 Epoch 1 Batch 538/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.702, Loss: 0.382 Epoch 1 Batch 539/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.696, Loss: 0.422 Epoch 1 Batch 540/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.681, Loss: 0.384 Epoch 1 Batch 541/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.676, Loss: 0.421 Epoch 1 Batch 542/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.690, Loss: 0.403 Epoch 1 Batch 543/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.703, Loss: 0.408 Epoch 1 Batch 544/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.699, Loss: 0.406 Epoch 1 Batch 545/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.694, Loss: 0.430 Epoch 1 Batch 546/1077 - Train Accuracy: 0.684, Validation Accuracy: 0.696, Loss: 0.428 Epoch 1 Batch 547/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.710, Loss: 0.413 Epoch 1 Batch 548/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.713, Loss: 0.418 Epoch 1 Batch 549/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.712, Loss: 0.439 Epoch 1 Batch 550/1077 - Train Accuracy: 0.672, Validation Accuracy: 0.712, Loss: 0.432 Epoch 1 Batch 551/1077 - Train Accuracy: 0.739, Validation Accuracy: 0.712, Loss: 0.428 Epoch 1 Batch 552/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.714, Loss: 0.417 Epoch 1 Batch 553/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.712, Loss: 0.409 Epoch 1 Batch 554/1077 - Train Accuracy: 0.677, Validation Accuracy: 0.701, Loss: 0.421 Epoch 1 Batch 555/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.694, Loss: 0.409 Epoch 1 Batch 556/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.712, Loss: 0.398 Epoch 1 Batch 557/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.703, Loss: 0.422 Epoch 1 Batch 558/1077 - Train Accuracy: 0.740, Validation Accuracy: 0.699, Loss: 0.394 Epoch 1 Batch 559/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.706, Loss: 0.397 Epoch 1 Batch 560/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.706, Loss: 0.394 Epoch 1 Batch 561/1077 - Train Accuracy: 0.724, Validation Accuracy: 0.686, Loss: 0.393 Epoch 1 Batch 562/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.679, Loss: 0.385 Epoch 1 Batch 563/1077 - Train Accuracy: 0.700, Validation Accuracy: 0.686, Loss: 0.423 Epoch 1 Batch 564/1077 - Train Accuracy: 0.719, Validation Accuracy: 0.694, Loss: 0.443 Epoch 1 Batch 565/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.694, Loss: 0.395 Epoch 1 Batch 566/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.696, Loss: 0.435 Epoch 1 Batch 567/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.701, Loss: 0.411 Epoch 1 Batch 568/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.695, Loss: 0.384 Epoch 1 Batch 569/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.683, Loss: 0.407 Epoch 1 Batch 570/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.695, Loss: 0.423 Epoch 1 Batch 571/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.707, Loss: 0.380 Epoch 1 Batch 572/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.696, Loss: 0.379 Epoch 1 Batch 573/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.674, Loss: 0.431 Epoch 1 Batch 574/1077 - Train Accuracy: 0.692, Validation Accuracy: 0.699, Loss: 0.417 Epoch 1 Batch 575/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.703, Loss: 0.399 Epoch 1 Batch 576/1077 - Train Accuracy: 0.700, Validation Accuracy: 0.699, Loss: 0.406 Epoch 1 Batch 577/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.701, Loss: 0.418 Epoch 1 Batch 578/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.708, Loss: 0.419 Epoch 1 Batch 579/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.708, Loss: 0.395 Epoch 1 Batch 580/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.712, Loss: 0.370 Epoch 1 Batch 581/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.708, Loss: 0.385 Epoch 1 Batch 582/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.706, Loss: 0.390 Epoch 1 Batch 583/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.713, Loss: 0.448 Epoch 1 Batch 584/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.689, Loss: 0.403 Epoch 1 Batch 585/1077 - Train Accuracy: 0.739, Validation Accuracy: 0.675, Loss: 0.375 Epoch 1 Batch 586/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.687, Loss: 0.413 Epoch 1 Batch 587/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.686, Loss: 0.392 Epoch 1 Batch 588/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.673, Loss: 0.402 Epoch 1 Batch 589/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.686, Loss: 0.409 Epoch 1 Batch 590/1077 - Train Accuracy: 0.682, Validation Accuracy: 0.699, Loss: 0.432 Epoch 1 Batch 591/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.704, Loss: 0.373 Epoch 1 Batch 592/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.694, Loss: 0.401 Epoch 1 Batch 593/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.691, Loss: 0.398 Epoch 1 Batch 594/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.696, Loss: 0.419 Epoch 1 Batch 595/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.702, Loss: 0.408 Epoch 1 Batch 596/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.699, Loss: 0.422 Epoch 1 Batch 597/1077 - Train Accuracy: 0.687, Validation Accuracy: 0.697, Loss: 0.423 Epoch 1 Batch 598/1077 - Train Accuracy: 0.740, Validation Accuracy: 0.690, Loss: 0.388 Epoch 1 Batch 599/1077 - Train Accuracy: 0.688, Validation Accuracy: 0.684, Loss: 0.446 Epoch 1 Batch 600/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.686, Loss: 0.378 Epoch 1 Batch 601/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.706, Loss: 0.397 Epoch 1 Batch 602/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.716, Loss: 0.405 Epoch 1 Batch 603/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.719, Loss: 0.386 Epoch 1 Batch 604/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.711, Loss: 0.408 Epoch 1 Batch 605/1077 - Train Accuracy: 0.720, Validation Accuracy: 0.710, Loss: 0.435 Epoch 1 Batch 606/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.721, Loss: 0.375 Epoch 1 Batch 607/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.733, Loss: 0.382 Epoch 1 Batch 608/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.735, Loss: 0.428 Epoch 1 Batch 609/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.719, Loss: 0.405 Epoch 1 Batch 610/1077 - Train Accuracy: 0.699, Validation Accuracy: 0.699, Loss: 0.407 Epoch 1 Batch 611/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.692, Loss: 0.413 Epoch 1 Batch 612/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.698, Loss: 0.382 Epoch 1 Batch 613/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.706, Loss: 0.415 Epoch 1 Batch 614/1077 - Train Accuracy: 0.720, Validation Accuracy: 0.707, Loss: 0.385 Epoch 1 Batch 615/1077 - Train Accuracy: 0.724, Validation Accuracy: 0.713, Loss: 0.392 Epoch 1 Batch 616/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.712, Loss: 0.409 Epoch 1 Batch 617/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.731, Loss: 0.376 Epoch 1 Batch 618/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.703, Loss: 0.398 Epoch 1 Batch 619/1077 - Train Accuracy: 0.710, Validation Accuracy: 0.722, Loss: 0.420 Epoch 1 Batch 620/1077 - Train Accuracy: 0.724, Validation Accuracy: 0.713, Loss: 0.384 Epoch 1 Batch 621/1077 - Train Accuracy: 0.745, Validation Accuracy: 0.707, Loss: 0.391 Epoch 1 Batch 622/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.691, Loss: 0.424 Epoch 1 Batch 623/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.706, Loss: 0.422 Epoch 1 Batch 624/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.702, Loss: 0.384 Epoch 1 Batch 625/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.710, Loss: 0.408 Epoch 1 Batch 626/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.702, Loss: 0.367 Epoch 1 Batch 627/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.700, Loss: 0.402 Epoch 1 Batch 628/1077 - Train Accuracy: 0.686, Validation Accuracy: 0.703, Loss: 0.421 Epoch 1 Batch 629/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.710, Loss: 0.414 Epoch 1 Batch 630/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.712, Loss: 0.403 Epoch 1 Batch 631/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.715, Loss: 0.398 Epoch 1 Batch 632/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.729, Loss: 0.405 Epoch 1 Batch 633/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.724, Loss: 0.402 Epoch 1 Batch 634/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.719, Loss: 0.372 Epoch 1 Batch 635/1077 - Train Accuracy: 0.720, Validation Accuracy: 0.725, Loss: 0.427 Epoch 1 Batch 636/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.716, Loss: 0.392 Epoch 1 Batch 637/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.714, Loss: 0.425 Epoch 1 Batch 638/1077 - Train Accuracy: 0.700, Validation Accuracy: 0.696, Loss: 0.388 Epoch 1 Batch 639/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.702, Loss: 0.395 Epoch 1 Batch 640/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.702, Loss: 0.379 Epoch 1 Batch 641/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.719, Loss: 0.389 Epoch 1 Batch 642/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.718, Loss: 0.394 Epoch 1 Batch 643/1077 - Train Accuracy: 0.700, Validation Accuracy: 0.710, Loss: 0.367 Epoch 1 Batch 644/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.714, Loss: 0.394 Epoch 1 Batch 645/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.691, Loss: 0.375 Epoch 1 Batch 646/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.710, Loss: 0.389 Epoch 1 Batch 647/1077 - Train Accuracy: 0.700, Validation Accuracy: 0.675, Loss: 0.403 Epoch 1 Batch 648/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.692, Loss: 0.384 Epoch 1 Batch 649/1077 - Train Accuracy: 0.697, Validation Accuracy: 0.686, Loss: 0.396 Epoch 1 Batch 650/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.686, Loss: 0.405 Epoch 1 Batch 651/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.673, Loss: 0.384 Epoch 1 Batch 652/1077 - Train Accuracy: 0.703, Validation Accuracy: 0.685, Loss: 0.417 Epoch 1 Batch 653/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.694, Loss: 0.402 Epoch 1 Batch 654/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.698, Loss: 0.391 Epoch 1 Batch 655/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.685, Loss: 0.400 Epoch 1 Batch 656/1077 - Train Accuracy: 0.719, Validation Accuracy: 0.698, Loss: 0.401 Epoch 1 Batch 657/1077 - Train Accuracy: 0.731, Validation Accuracy: 0.699, Loss: 0.417 Epoch 1 Batch 658/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.683, Loss: 0.373 Epoch 1 Batch 659/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.686, Loss: 0.384 Epoch 1 Batch 660/1077 - Train Accuracy: 0.724, Validation Accuracy: 0.676, Loss: 0.386 Epoch 1 Batch 661/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.669, Loss: 0.370 Epoch 1 Batch 662/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.673, Loss: 0.376 Epoch 1 Batch 663/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.652, Loss: 0.385 Epoch 1 Batch 664/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.675, Loss: 0.393 Epoch 1 Batch 665/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.676, Loss: 0.402 Epoch 1 Batch 666/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.683, Loss: 0.421 Epoch 1 Batch 667/1077 - Train Accuracy: 0.690, Validation Accuracy: 0.695, Loss: 0.431 Epoch 1 Batch 668/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.702, Loss: 0.397 Epoch 1 Batch 669/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.684, Loss: 0.394 Epoch 1 Batch 670/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.688, Loss: 0.376 Epoch 1 Batch 671/1077 - Train Accuracy: 0.665, Validation Accuracy: 0.689, Loss: 0.421 Epoch 1 Batch 672/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.686, Loss: 0.386 Epoch 1 Batch 673/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.691, Loss: 0.385 Epoch 1 Batch 674/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.693, Loss: 0.408 Epoch 1 Batch 675/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.685, Loss: 0.389 Epoch 1 Batch 676/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.692, Loss: 0.406 Epoch 1 Batch 677/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.689, Loss: 0.424 Epoch 1 Batch 678/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.690, Loss: 0.383 Epoch 1 Batch 679/1077 - Train Accuracy: 0.708, Validation Accuracy: 0.676, Loss: 0.411 Epoch 1 Batch 680/1077 - Train Accuracy: 0.683, Validation Accuracy: 0.681, Loss: 0.391 Epoch 1 Batch 681/1077 - Train Accuracy: 0.701, Validation Accuracy: 0.682, Loss: 0.408 Epoch 1 Batch 682/1077 - Train Accuracy: 0.673, Validation Accuracy: 0.681, Loss: 0.413 Epoch 1 Batch 683/1077 - Train Accuracy: 0.683, Validation Accuracy: 0.687, Loss: 0.394 Epoch 1 Batch 684/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.678, Loss: 0.381 Epoch 1 Batch 685/1077 - Train Accuracy: 0.674, Validation Accuracy: 0.695, Loss: 0.404 Epoch 1 Batch 686/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.691, Loss: 0.386 Epoch 1 Batch 687/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.694, Loss: 0.413 Epoch 1 Batch 688/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.705, Loss: 0.386 Epoch 1 Batch 689/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.705, Loss: 0.394 Epoch 1 Batch 690/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.712, Loss: 0.396 Epoch 1 Batch 691/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.720, Loss: 0.447 Epoch 1 Batch 692/1077 - Train Accuracy: 0.739, Validation Accuracy: 0.709, Loss: 0.386 Epoch 1 Batch 693/1077 - Train Accuracy: 0.641, Validation Accuracy: 0.706, Loss: 0.443 Epoch 1 Batch 694/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.693, Loss: 0.368 Epoch 1 Batch 695/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.683, Loss: 0.382 Epoch 1 Batch 696/1077 - Train Accuracy: 0.719, Validation Accuracy: 0.701, Loss: 0.428 Epoch 1 Batch 697/1077 - Train Accuracy: 0.749, Validation Accuracy: 0.710, Loss: 0.381 Epoch 1 Batch 698/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.715, Loss: 0.381 Epoch 1 Batch 699/1077 - Train Accuracy: 0.710, Validation Accuracy: 0.709, Loss: 0.408 Epoch 1 Batch 700/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.711, Loss: 0.381 Epoch 1 Batch 701/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.712, Loss: 0.391 Epoch 1 Batch 702/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.710, Loss: 0.394 Epoch 1 Batch 703/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.691, Loss: 0.401 Epoch 1 Batch 704/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.686, Loss: 0.406 Epoch 1 Batch 705/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.677, Loss: 0.431 Epoch 1 Batch 706/1077 - Train Accuracy: 0.683, Validation Accuracy: 0.676, Loss: 0.409 Epoch 1 Batch 707/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.696, Loss: 0.408 Epoch 1 Batch 708/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.695, Loss: 0.400 Epoch 1 Batch 709/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.695, Loss: 0.422 Epoch 1 Batch 710/1077 - Train Accuracy: 0.708, Validation Accuracy: 0.703, Loss: 0.390 Epoch 1 Batch 711/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.721, Loss: 0.420 Epoch 1 Batch 712/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.718, Loss: 0.377 Epoch 1 Batch 713/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.722, Loss: 0.361 Epoch 1 Batch 714/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.722, Loss: 0.388 Epoch 1 Batch 715/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.715, Loss: 0.389 Epoch 1 Batch 716/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.716, Loss: 0.368 Epoch 1 Batch 717/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.729, Loss: 0.403 Epoch 1 Batch 718/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.729, Loss: 0.395 Epoch 1 Batch 719/1077 - Train Accuracy: 0.710, Validation Accuracy: 0.717, Loss: 0.381 Epoch 1 Batch 720/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.701, Loss: 0.399 Epoch 1 Batch 721/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.698, Loss: 0.391 Epoch 1 Batch 722/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.706, Loss: 0.380 Epoch 1 Batch 723/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.702, Loss: 0.380 Epoch 1 Batch 724/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.687, Loss: 0.392 Epoch 1 Batch 725/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.698, Loss: 0.375 Epoch 1 Batch 726/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.699, Loss: 0.363 Epoch 1 Batch 727/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.690, Loss: 0.345 Epoch 1 Batch 728/1077 - Train Accuracy: 0.666, Validation Accuracy: 0.676, Loss: 0.383 Epoch 1 Batch 729/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.681, Loss: 0.408 Epoch 1 Batch 730/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.691, Loss: 0.381 Epoch 1 Batch 731/1077 - Train Accuracy: 0.689, Validation Accuracy: 0.713, Loss: 0.387 Epoch 1 Batch 732/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.697, Loss: 0.407 Epoch 1 Batch 733/1077 - Train Accuracy: 0.731, Validation Accuracy: 0.682, Loss: 0.383 Epoch 1 Batch 734/1077 - Train Accuracy: 0.731, Validation Accuracy: 0.709, Loss: 0.410 Epoch 1 Batch 735/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.692, Loss: 0.372 Epoch 1 Batch 736/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.699, Loss: 0.373 Epoch 1 Batch 737/1077 - Train Accuracy: 0.745, Validation Accuracy: 0.718, Loss: 0.402 Epoch 1 Batch 738/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.715, Loss: 0.336 Epoch 1 Batch 739/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.722, Loss: 0.369 Epoch 1 Batch 740/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.717, Loss: 0.372 Epoch 1 Batch 741/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.714, Loss: 0.385 Epoch 1 Batch 742/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.714, Loss: 0.374 Epoch 1 Batch 743/1077 - Train Accuracy: 0.731, Validation Accuracy: 0.714, Loss: 0.382 Epoch 1 Batch 744/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.712, Loss: 0.364 Epoch 1 Batch 745/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.725, Loss: 0.370 Epoch 1 Batch 746/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.732, Loss: 0.367 Epoch 1 Batch 747/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.728, Loss: 0.356 Epoch 1 Batch 748/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.717, Loss: 0.370 Epoch 1 Batch 749/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.727, Loss: 0.386 Epoch 1 Batch 750/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.728, Loss: 0.369 Epoch 1 Batch 751/1077 - Train Accuracy: 0.770, Validation Accuracy: 0.738, Loss: 0.364 Epoch 1 Batch 752/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.731, Loss: 0.351 Epoch 1 Batch 753/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.714, Loss: 0.354 Epoch 1 Batch 754/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.713, Loss: 0.379 Epoch 1 Batch 755/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.720, Loss: 0.388 Epoch 1 Batch 756/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.712, Loss: 0.368 Epoch 1 Batch 757/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.722, Loss: 0.398 Epoch 1 Batch 758/1077 - Train Accuracy: 0.749, Validation Accuracy: 0.720, Loss: 0.358 Epoch 1 Batch 759/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.722, Loss: 0.340 Epoch 1 Batch 760/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.724, Loss: 0.378 Epoch 1 Batch 761/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.713, Loss: 0.395 Epoch 1 Batch 762/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.698, Loss: 0.360 Epoch 1 Batch 763/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.699, Loss: 0.360 Epoch 1 Batch 764/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.707, Loss: 0.387 Epoch 1 Batch 765/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.712, Loss: 0.357 Epoch 1 Batch 766/1077 - Train Accuracy: 0.695, Validation Accuracy: 0.714, Loss: 0.393 Epoch 1 Batch 767/1077 - Train Accuracy: 0.770, Validation Accuracy: 0.708, Loss: 0.376 Epoch 1 Batch 768/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.708, Loss: 0.376 Epoch 1 Batch 769/1077 - Train Accuracy: 0.720, Validation Accuracy: 0.704, Loss: 0.377 Epoch 1 Batch 770/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.708, Loss: 0.351 Epoch 1 Batch 771/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.714, Loss: 0.369 Epoch 1 Batch 772/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.719, Loss: 0.352 Epoch 1 Batch 773/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.728, Loss: 0.350 Epoch 1 Batch 774/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.717, Loss: 0.375 Epoch 1 Batch 775/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.713, Loss: 0.355 Epoch 1 Batch 776/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.709, Loss: 0.360 Epoch 1 Batch 777/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.717, Loss: 0.368 Epoch 1 Batch 778/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.717, Loss: 0.353 Epoch 1 Batch 779/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.708, Loss: 0.369 Epoch 1 Batch 780/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.723, Loss: 0.379 Epoch 1 Batch 781/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.737, Loss: 0.346 Epoch 1 Batch 782/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.724, Loss: 0.365 Epoch 1 Batch 783/1077 - Train Accuracy: 0.749, Validation Accuracy: 0.732, Loss: 0.373 Epoch 1 Batch 784/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.718, Loss: 0.360 Epoch 1 Batch 785/1077 - Train Accuracy: 0.745, Validation Accuracy: 0.728, Loss: 0.342 Epoch 1 Batch 786/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.739, Loss: 0.370 Epoch 1 Batch 787/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.721, Loss: 0.347 Epoch 1 Batch 788/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.721, Loss: 0.369 Epoch 1 Batch 789/1077 - Train Accuracy: 0.693, Validation Accuracy: 0.723, Loss: 0.378 Epoch 1 Batch 790/1077 - Train Accuracy: 0.663, Validation Accuracy: 0.724, Loss: 0.390 Epoch 1 Batch 791/1077 - Train Accuracy: 0.719, Validation Accuracy: 0.696, Loss: 0.380 Epoch 1 Batch 792/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.699, Loss: 0.385 Epoch 1 Batch 793/1077 - Train Accuracy: 0.745, Validation Accuracy: 0.701, Loss: 0.368 Epoch 1 Batch 794/1077 - Train Accuracy: 0.710, Validation Accuracy: 0.696, Loss: 0.371 Epoch 1 Batch 795/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.686, Loss: 0.376 Epoch 1 Batch 796/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.713, Loss: 0.385 Epoch 1 Batch 797/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.706, Loss: 0.362 Epoch 1 Batch 798/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.714, Loss: 0.383 Epoch 1 Batch 799/1077 - Train Accuracy: 0.700, Validation Accuracy: 0.716, Loss: 0.403 Epoch 1 Batch 800/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.707, Loss: 0.370 Epoch 1 Batch 801/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.707, Loss: 0.378 Epoch 1 Batch 802/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.699, Loss: 0.364 Epoch 1 Batch 803/1077 - Train Accuracy: 0.740, Validation Accuracy: 0.681, Loss: 0.376 Epoch 1 Batch 804/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.692, Loss: 0.364 Epoch 1 Batch 805/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.703, Loss: 0.359 Epoch 1 Batch 806/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.706, Loss: 0.373 Epoch 1 Batch 807/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.703, Loss: 0.365 Epoch 1 Batch 808/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.715, Loss: 0.376 Epoch 1 Batch 809/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.705, Loss: 0.409 Epoch 1 Batch 810/1077 - Train Accuracy: 0.749, Validation Accuracy: 0.712, Loss: 0.339 Epoch 1 Batch 811/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.707, Loss: 0.344 Epoch 1 Batch 812/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.700, Loss: 0.378 Epoch 1 Batch 813/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.718, Loss: 0.363 Epoch 1 Batch 814/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.707, Loss: 0.374 Epoch 1 Batch 815/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.717, Loss: 0.368 Epoch 1 Batch 816/1077 - Train Accuracy: 0.765, Validation Accuracy: 0.717, Loss: 0.386 Epoch 1 Batch 817/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.716, Loss: 0.393 Epoch 1 Batch 818/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.719, Loss: 0.372 Epoch 1 Batch 819/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.728, Loss: 0.371 Epoch 1 Batch 820/1077 - Train Accuracy: 0.698, Validation Accuracy: 0.705, Loss: 0.391 Epoch 1 Batch 821/1077 - Train Accuracy: 0.739, Validation Accuracy: 0.708, Loss: 0.368 Epoch 1 Batch 822/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.703, Loss: 0.367 Epoch 1 Batch 823/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.719, Loss: 0.367 Epoch 1 Batch 824/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.728, Loss: 0.356 Epoch 1 Batch 825/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.726, Loss: 0.358 Epoch 1 Batch 826/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.727, Loss: 0.337 Epoch 1 Batch 827/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.717, Loss: 0.385 Epoch 1 Batch 828/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.711, Loss: 0.368 Epoch 1 Batch 829/1077 - Train Accuracy: 0.705, Validation Accuracy: 0.712, Loss: 0.396 Epoch 1 Batch 830/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.702, Loss: 0.360 Epoch 1 Batch 831/1077 - Train Accuracy: 0.686, Validation Accuracy: 0.702, Loss: 0.387 Epoch 1 Batch 832/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.711, Loss: 0.363 Epoch 1 Batch 833/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.715, Loss: 0.391 Epoch 1 Batch 834/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.717, Loss: 0.347 Epoch 1 Batch 835/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.735, Loss: 0.367 Epoch 1 Batch 836/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.732, Loss: 0.371 Epoch 1 Batch 837/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.730, Loss: 0.382 Epoch 1 Batch 838/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.725, Loss: 0.357 Epoch 1 Batch 839/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.726, Loss: 0.351 Epoch 1 Batch 840/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.712, Loss: 0.343 Epoch 1 Batch 841/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.721, Loss: 0.368 Epoch 1 Batch 842/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.710, Loss: 0.352 Epoch 1 Batch 843/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.699, Loss: 0.337 Epoch 1 Batch 844/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.712, Loss: 0.343 Epoch 1 Batch 845/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.725, Loss: 0.359 Epoch 1 Batch 846/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.719, Loss: 0.368 Epoch 1 Batch 847/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.723, Loss: 0.358 Epoch 1 Batch 848/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.716, Loss: 0.357 Epoch 1 Batch 849/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.722, Loss: 0.344 Epoch 1 Batch 850/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.728, Loss: 0.394 Epoch 1 Batch 851/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.712, Loss: 0.347 Epoch 1 Batch 852/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.717, Loss: 0.373 Epoch 1 Batch 853/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.721, Loss: 0.338 Epoch 1 Batch 854/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.723, Loss: 0.361 Epoch 1 Batch 855/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.725, Loss: 0.371 Epoch 1 Batch 856/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.723, Loss: 0.363 Epoch 1 Batch 857/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.726, Loss: 0.338 Epoch 1 Batch 858/1077 - Train Accuracy: 0.724, Validation Accuracy: 0.729, Loss: 0.342 Epoch 1 Batch 859/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.741, Loss: 0.370 Epoch 1 Batch 860/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.731, Loss: 0.360 Epoch 1 Batch 861/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.723, Loss: 0.352 Epoch 1 Batch 862/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.728, Loss: 0.345 Epoch 1 Batch 863/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.724, Loss: 0.337 Epoch 1 Batch 864/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.716, Loss: 0.351 Epoch 1 Batch 865/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.723, Loss: 0.323 Epoch 1 Batch 866/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.724, Loss: 0.348 Epoch 1 Batch 867/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.723, Loss: 0.400 Epoch 1 Batch 868/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.721, Loss: 0.363 Epoch 1 Batch 869/1077 - Train Accuracy: 0.731, Validation Accuracy: 0.721, Loss: 0.356 Epoch 1 Batch 870/1077 - Train Accuracy: 0.666, Validation Accuracy: 0.726, Loss: 0.358 Epoch 1 Batch 871/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.727, Loss: 0.362 Epoch 1 Batch 872/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.717, Loss: 0.363 Epoch 1 Batch 873/1077 - Train Accuracy: 0.696, Validation Accuracy: 0.732, Loss: 0.350 Epoch 1 Batch 874/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.741, Loss: 0.378 Epoch 1 Batch 875/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.720, Loss: 0.352 Epoch 1 Batch 876/1077 - Train Accuracy: 0.762, Validation Accuracy: 0.725, Loss: 0.360 Epoch 1 Batch 877/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.719, Loss: 0.335 Epoch 1 Batch 878/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.725, Loss: 0.346 Epoch 1 Batch 879/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.735, Loss: 0.330 Epoch 1 Batch 880/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.738, Loss: 0.351 Epoch 1 Batch 881/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.747, Loss: 0.360 Epoch 1 Batch 882/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.750, Loss: 0.357 Epoch 1 Batch 883/1077 - Train Accuracy: 0.692, Validation Accuracy: 0.747, Loss: 0.396 Epoch 1 Batch 884/1077 - Train Accuracy: 0.710, Validation Accuracy: 0.740, Loss: 0.354 Epoch 1 Batch 885/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.727, Loss: 0.304 Epoch 1 Batch 886/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.728, Loss: 0.361 Epoch 1 Batch 887/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.729, Loss: 0.364 Epoch 1 Batch 888/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.722, Loss: 0.343 Epoch 1 Batch 889/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.727, Loss: 0.382 Epoch 1 Batch 890/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.718, Loss: 0.336 Epoch 1 Batch 891/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.713, Loss: 0.381 Epoch 1 Batch 892/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.720, Loss: 0.346 Epoch 1 Batch 893/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.740, Loss: 0.369 Epoch 1 Batch 894/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.727, Loss: 0.344 Epoch 1 Batch 895/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.711, Loss: 0.358 Epoch 1 Batch 896/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.730, Loss: 0.380 Epoch 1 Batch 897/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.726, Loss: 0.327 Epoch 1 Batch 898/1077 - Train Accuracy: 0.749, Validation Accuracy: 0.736, Loss: 0.334 Epoch 1 Batch 899/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.728, Loss: 0.363 Epoch 1 Batch 900/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.727, Loss: 0.369 Epoch 1 Batch 901/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.735, Loss: 0.378 Epoch 1 Batch 902/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.733, Loss: 0.346 Epoch 1 Batch 903/1077 - Train Accuracy: 0.765, Validation Accuracy: 0.734, Loss: 0.364 Epoch 1 Batch 904/1077 - Train Accuracy: 0.710, Validation Accuracy: 0.716, Loss: 0.355 Epoch 1 Batch 905/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.723, Loss: 0.359 Epoch 1 Batch 906/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.723, Loss: 0.343 Epoch 1 Batch 907/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.724, Loss: 0.363 Epoch 1 Batch 908/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.718, Loss: 0.363 Epoch 1 Batch 909/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.716, Loss: 0.351 Epoch 1 Batch 910/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.720, Loss: 0.354 Epoch 1 Batch 911/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.721, Loss: 0.326 Epoch 1 Batch 912/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.717, Loss: 0.365 Epoch 1 Batch 913/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.717, Loss: 0.362 Epoch 1 Batch 914/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.713, Loss: 0.330 Epoch 1 Batch 915/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.718, Loss: 0.374 Epoch 1 Batch 916/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.707, Loss: 0.356 Epoch 1 Batch 917/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.712, Loss: 0.356 Epoch 1 Batch 918/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.707, Loss: 0.321 Epoch 1 Batch 919/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.699, Loss: 0.349 Epoch 1 Batch 920/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.708, Loss: 0.356 Epoch 1 Batch 921/1077 - Train Accuracy: 0.745, Validation Accuracy: 0.732, Loss: 0.348 Epoch 1 Batch 922/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.718, Loss: 0.347 Epoch 1 Batch 923/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.712, Loss: 0.369 Epoch 1 Batch 924/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.711, Loss: 0.384 Epoch 1 Batch 925/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.732, Loss: 0.329 Epoch 1 Batch 926/1077 - Train Accuracy: 0.707, Validation Accuracy: 0.738, Loss: 0.354 Epoch 1 Batch 927/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.726, Loss: 0.367 Epoch 1 Batch 928/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.728, Loss: 0.339 Epoch 1 Batch 929/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.734, Loss: 0.363 Epoch 1 Batch 930/1077 - Train Accuracy: 0.751, Validation Accuracy: 0.728, Loss: 0.337 Epoch 1 Batch 931/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.732, Loss: 0.342 Epoch 1 Batch 932/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.714, Loss: 0.363 Epoch 1 Batch 933/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.729, Loss: 0.357 Epoch 1 Batch 934/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.727, Loss: 0.354 Epoch 1 Batch 935/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.720, Loss: 0.351 Epoch 1 Batch 936/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.709, Loss: 0.358 Epoch 1 Batch 937/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.707, Loss: 0.381 Epoch 1 Batch 938/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.696, Loss: 0.366 Epoch 1 Batch 939/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.687, Loss: 0.345 Epoch 1 Batch 940/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.696, Loss: 0.336 Epoch 1 Batch 941/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.695, Loss: 0.326 Epoch 1 Batch 942/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.722, Loss: 0.351 Epoch 1 Batch 943/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.729, Loss: 0.357 Epoch 1 Batch 944/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.724, Loss: 0.348 Epoch 1 Batch 945/1077 - Train Accuracy: 0.770, Validation Accuracy: 0.699, Loss: 0.339 Epoch 1 Batch 946/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.709, Loss: 0.352 Epoch 1 Batch 947/1077 - Train Accuracy: 0.681, Validation Accuracy: 0.707, Loss: 0.383 Epoch 1 Batch 948/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.719, Loss: 0.352 Epoch 1 Batch 949/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.723, Loss: 0.316 Epoch 1 Batch 950/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.728, Loss: 0.329 Epoch 1 Batch 951/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.739, Loss: 0.337 Epoch 1 Batch 952/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.714, Loss: 0.333 Epoch 1 Batch 953/1077 - Train Accuracy: 0.739, Validation Accuracy: 0.720, Loss: 0.358 Epoch 1 Batch 954/1077 - Train Accuracy: 0.698, Validation Accuracy: 0.699, Loss: 0.353 Epoch 1 Batch 955/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.691, Loss: 0.353 Epoch 1 Batch 956/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.713, Loss: 0.346 Epoch 1 Batch 957/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.699, Loss: 0.318 Epoch 1 Batch 958/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.721, Loss: 0.348 Epoch 1 Batch 959/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.721, Loss: 0.325 Epoch 1 Batch 960/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.713, Loss: 0.334 Epoch 1 Batch 961/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.732, Loss: 0.355 Epoch 1 Batch 962/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.728, Loss: 0.334 Epoch 1 Batch 963/1077 - Train Accuracy: 0.701, Validation Accuracy: 0.722, Loss: 0.371 Epoch 1 Batch 964/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.718, Loss: 0.317 Epoch 1 Batch 965/1077 - Train Accuracy: 0.719, Validation Accuracy: 0.699, Loss: 0.361 Epoch 1 Batch 966/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.718, Loss: 0.307 Epoch 1 Batch 967/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.714, Loss: 0.338 Epoch 1 Batch 968/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.732, Loss: 0.368 Epoch 1 Batch 969/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.730, Loss: 0.358 Epoch 1 Batch 970/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.712, Loss: 0.349 Epoch 1 Batch 971/1077 - Train Accuracy: 0.774, Validation Accuracy: 0.721, Loss: 0.345 Epoch 1 Batch 972/1077 - Train Accuracy: 0.719, Validation Accuracy: 0.695, Loss: 0.348 Epoch 1 Batch 973/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.696, Loss: 0.332 Epoch 1 Batch 974/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.696, Loss: 0.355 Epoch 1 Batch 975/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.699, Loss: 0.342 Epoch 1 Batch 976/1077 - Train Accuracy: 0.740, Validation Accuracy: 0.716, Loss: 0.349 Epoch 1 Batch 977/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.711, Loss: 0.342 Epoch 1 Batch 978/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.722, Loss: 0.358 Epoch 1 Batch 979/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.729, Loss: 0.375 Epoch 1 Batch 980/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.737, Loss: 0.361 Epoch 1 Batch 981/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.730, Loss: 0.350 Epoch 1 Batch 982/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.727, Loss: 0.345 Epoch 1 Batch 983/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.734, Loss: 0.369 Epoch 1 Batch 984/1077 - Train Accuracy: 0.713, Validation Accuracy: 0.742, Loss: 0.378 Epoch 1 Batch 985/1077 - Train Accuracy: 0.751, Validation Accuracy: 0.732, Loss: 0.346 Epoch 1 Batch 986/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.729, Loss: 0.341 Epoch 1 Batch 987/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.733, Loss: 0.326 Epoch 1 Batch 988/1077 - Train Accuracy: 0.711, Validation Accuracy: 0.733, Loss: 0.346 Epoch 1 Batch 989/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.733, Loss: 0.356 Epoch 1 Batch 990/1077 - Train Accuracy: 0.702, Validation Accuracy: 0.736, Loss: 0.364 Epoch 1 Batch 991/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.732, Loss: 0.334 Epoch 1 Batch 992/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.729, Loss: 0.335 Epoch 1 Batch 993/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.742, Loss: 0.316 Epoch 1 Batch 994/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.753, Loss: 0.328 Epoch 1 Batch 995/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.752, Loss: 0.319 Epoch 1 Batch 996/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.740, Loss: 0.334 Epoch 1 Batch 997/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.743, Loss: 0.369 Epoch 1 Batch 998/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.719, Loss: 0.333 Epoch 1 Batch 999/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.703, Loss: 0.343 Epoch 1 Batch 1000/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.717, Loss: 0.301 Epoch 1 Batch 1001/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.706, Loss: 0.302 Epoch 1 Batch 1002/1077 - Train Accuracy: 0.777, Validation Accuracy: 0.697, Loss: 0.314 Epoch 1 Batch 1003/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.718, Loss: 0.334 Epoch 1 Batch 1004/1077 - Train Accuracy: 0.765, Validation Accuracy: 0.719, Loss: 0.332 Epoch 1 Batch 1005/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.727, Loss: 0.334 Epoch 1 Batch 1006/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.721, Loss: 0.339 Epoch 1 Batch 1007/1077 - Train Accuracy: 0.749, Validation Accuracy: 0.714, Loss: 0.321 Epoch 1 Batch 1008/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.717, Loss: 0.348 Epoch 1 Batch 1009/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.718, Loss: 0.323 Epoch 1 Batch 1010/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.727, Loss: 0.337 Epoch 1 Batch 1011/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.720, Loss: 0.344 Epoch 1 Batch 1012/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.714, Loss: 0.316 Epoch 1 Batch 1013/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.728, Loss: 0.323 Epoch 1 Batch 1014/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.725, Loss: 0.347 Epoch 1 Batch 1015/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.718, Loss: 0.351 Epoch 1 Batch 1016/1077 - Train Accuracy: 0.708, Validation Accuracy: 0.716, Loss: 0.344 Epoch 1 Batch 1017/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.719, Loss: 0.342 Epoch 1 Batch 1018/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.722, Loss: 0.337 Epoch 1 Batch 1019/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.707, Loss: 0.369 Epoch 1 Batch 1020/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.702, Loss: 0.321 Epoch 1 Batch 1021/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.711, Loss: 0.325 Epoch 1 Batch 1022/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.732, Loss: 0.304 Epoch 1 Batch 1023/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.720, Loss: 0.303 Epoch 1 Batch 1024/1077 - Train Accuracy: 0.719, Validation Accuracy: 0.737, Loss: 0.351 Epoch 1 Batch 1025/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.731, Loss: 0.324 Epoch 1 Batch 1026/1077 - Train Accuracy: 0.788, Validation Accuracy: 0.749, Loss: 0.310 Epoch 1 Batch 1027/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.738, Loss: 0.331 Epoch 1 Batch 1028/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.747, Loss: 0.342 Epoch 1 Batch 1029/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.733, Loss: 0.315 Epoch 1 Batch 1030/1077 - Train Accuracy: 0.720, Validation Accuracy: 0.714, Loss: 0.340 Epoch 1 Batch 1031/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.732, Loss: 0.347 Epoch 1 Batch 1032/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.735, Loss: 0.335 Epoch 1 Batch 1033/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.724, Loss: 0.323 Epoch 1 Batch 1034/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.714, Loss: 0.342 Epoch 1 Batch 1035/1077 - Train Accuracy: 0.798, Validation Accuracy: 0.716, Loss: 0.291 Epoch 1 Batch 1036/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.717, Loss: 0.332 Epoch 1 Batch 1037/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.698, Loss: 0.349 Epoch 1 Batch 1038/1077 - Train Accuracy: 0.724, Validation Accuracy: 0.706, Loss: 0.346 Epoch 1 Batch 1039/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.710, Loss: 0.321 Epoch 1 Batch 1040/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.712, Loss: 0.333 Epoch 1 Batch 1041/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.708, Loss: 0.346 Epoch 1 Batch 1042/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.708, Loss: 0.337 Epoch 1 Batch 1043/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.733, Loss: 0.351 Epoch 1 Batch 1044/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.724, Loss: 0.328 Epoch 1 Batch 1045/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.728, Loss: 0.344 Epoch 1 Batch 1046/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.725, Loss: 0.309 Epoch 1 Batch 1047/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.718, Loss: 0.317 Epoch 1 Batch 1048/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.695, Loss: 0.334 Epoch 1 Batch 1049/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.712, Loss: 0.341 Epoch 1 Batch 1050/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.713, Loss: 0.342 Epoch 1 Batch 1051/1077 - Train Accuracy: 0.762, Validation Accuracy: 0.719, Loss: 0.314 Epoch 1 Batch 1052/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.721, Loss: 0.315 Epoch 1 Batch 1053/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.726, Loss: 0.313 Epoch 1 Batch 1054/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.716, Loss: 0.320 Epoch 1 Batch 1055/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.707, Loss: 0.338 Epoch 1 Batch 1056/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.713, Loss: 0.327 Epoch 1 Batch 1057/1077 - Train Accuracy: 0.700, Validation Accuracy: 0.696, Loss: 0.332 Epoch 1 Batch 1058/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.711, Loss: 0.361 Epoch 1 Batch 1059/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.704, Loss: 0.363 Epoch 1 Batch 1060/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.723, Loss: 0.321 Epoch 1 Batch 1061/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.709, Loss: 0.352 Epoch 1 Batch 1062/1077 - Train Accuracy: 0.745, Validation Accuracy: 0.700, Loss: 0.347 Epoch 1 Batch 1063/1077 - Train Accuracy: 0.720, Validation Accuracy: 0.703, Loss: 0.346 Epoch 1 Batch 1064/1077 - Train Accuracy: 0.751, Validation Accuracy: 0.705, Loss: 0.318 Epoch 1 Batch 1065/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.707, Loss: 0.339 Epoch 1 Batch 1066/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.700, Loss: 0.314 Epoch 1 Batch 1067/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.723, Loss: 0.350 Epoch 1 Batch 1068/1077 - Train Accuracy: 0.777, Validation Accuracy: 0.743, Loss: 0.320 Epoch 1 Batch 1069/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.736, Loss: 0.306 Epoch 1 Batch 1070/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.732, Loss: 0.339 Epoch 1 Batch 1071/1077 - Train Accuracy: 0.739, Validation Accuracy: 0.718, Loss: 0.321 Epoch 1 Batch 1072/1077 - Train Accuracy: 0.740, Validation Accuracy: 0.728, Loss: 0.326 Epoch 1 Batch 1073/1077 - Train Accuracy: 0.726, Validation Accuracy: 0.739, Loss: 0.328 Epoch 1 Batch 1074/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.730, Loss: 0.337 Epoch 1 Batch 1075/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.733, Loss: 0.358 Epoch 2 Batch 0/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.728, Loss: 0.301 Epoch 2 Batch 1/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.723, Loss: 0.326 Epoch 2 Batch 2/1077 - Train Accuracy: 0.704, Validation Accuracy: 0.719, Loss: 0.350 Epoch 2 Batch 3/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.730, Loss: 0.341 Epoch 2 Batch 4/1077 - Train Accuracy: 0.727, Validation Accuracy: 0.706, Loss: 0.335 Epoch 2 Batch 5/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.717, Loss: 0.343 Epoch 2 Batch 6/1077 - Train Accuracy: 0.740, Validation Accuracy: 0.717, Loss: 0.336 Epoch 2 Batch 7/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.714, Loss: 0.309 Epoch 2 Batch 8/1077 - Train Accuracy: 0.762, Validation Accuracy: 0.710, Loss: 0.316 Epoch 2 Batch 9/1077 - Train Accuracy: 0.745, Validation Accuracy: 0.710, Loss: 0.327 Epoch 2 Batch 10/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.715, Loss: 0.334 Epoch 2 Batch 11/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.722, Loss: 0.331 Epoch 2 Batch 12/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.735, Loss: 0.338 Epoch 2 Batch 13/1077 - Train Accuracy: 0.745, Validation Accuracy: 0.727, Loss: 0.328 Epoch 2 Batch 14/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.716, Loss: 0.303 Epoch 2 Batch 15/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.700, Loss: 0.312 Epoch 2 Batch 16/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.707, Loss: 0.327 Epoch 2 Batch 17/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.716, Loss: 0.305 Epoch 2 Batch 18/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.724, Loss: 0.330 Epoch 2 Batch 19/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.722, Loss: 0.325 Epoch 2 Batch 20/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.739, Loss: 0.314 Epoch 2 Batch 21/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.728, Loss: 0.338 Epoch 2 Batch 22/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.703, Loss: 0.317 Epoch 2 Batch 23/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.700, Loss: 0.315 Epoch 2 Batch 24/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.718, Loss: 0.322 Epoch 2 Batch 25/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.723, Loss: 0.312 Epoch 2 Batch 26/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.738, Loss: 0.342 Epoch 2 Batch 27/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.735, Loss: 0.298 Epoch 2 Batch 28/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.741, Loss: 0.319 Epoch 2 Batch 29/1077 - Train Accuracy: 0.731, Validation Accuracy: 0.744, Loss: 0.341 Epoch 2 Batch 30/1077 - Train Accuracy: 0.765, Validation Accuracy: 0.733, Loss: 0.321 Epoch 2 Batch 31/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.737, Loss: 0.321 Epoch 2 Batch 32/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.718, Loss: 0.297 Epoch 2 Batch 33/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.702, Loss: 0.309 Epoch 2 Batch 34/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.703, Loss: 0.323 Epoch 2 Batch 35/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.717, Loss: 0.318 Epoch 2 Batch 36/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.717, Loss: 0.310 Epoch 2 Batch 37/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.734, Loss: 0.328 Epoch 2 Batch 38/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.732, Loss: 0.367 Epoch 2 Batch 39/1077 - Train Accuracy: 0.740, Validation Accuracy: 0.735, Loss: 0.343 Epoch 2 Batch 40/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.745, Loss: 0.327 Epoch 2 Batch 41/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.744, Loss: 0.322 Epoch 2 Batch 42/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.745, Loss: 0.332 Epoch 2 Batch 43/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.748, Loss: 0.321 Epoch 2 Batch 44/1077 - Train Accuracy: 0.770, Validation Accuracy: 0.729, Loss: 0.320 Epoch 2 Batch 45/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.721, Loss: 0.323 Epoch 2 Batch 46/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.729, Loss: 0.345 Epoch 2 Batch 47/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.738, Loss: 0.323 Epoch 2 Batch 48/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.724, Loss: 0.351 Epoch 2 Batch 49/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.717, Loss: 0.319 Epoch 2 Batch 50/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.728, Loss: 0.325 Epoch 2 Batch 51/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.732, Loss: 0.323 Epoch 2 Batch 52/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.708, Loss: 0.333 Epoch 2 Batch 53/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.727, Loss: 0.338 Epoch 2 Batch 54/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.724, Loss: 0.347 Epoch 2 Batch 55/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.731, Loss: 0.310 Epoch 2 Batch 56/1077 - Train Accuracy: 0.762, Validation Accuracy: 0.725, Loss: 0.312 Epoch 2 Batch 57/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.730, Loss: 0.301 Epoch 2 Batch 58/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.732, Loss: 0.306 Epoch 2 Batch 59/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.705, Loss: 0.320 Epoch 2 Batch 60/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.708, Loss: 0.301 Epoch 2 Batch 61/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.729, Loss: 0.341 Epoch 2 Batch 62/1077 - Train Accuracy: 0.715, Validation Accuracy: 0.704, Loss: 0.332 Epoch 2 Batch 63/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.718, Loss: 0.300 Epoch 2 Batch 64/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.724, Loss: 0.319 Epoch 2 Batch 65/1077 - Train Accuracy: 0.692, Validation Accuracy: 0.726, Loss: 0.337 Epoch 2 Batch 66/1077 - Train Accuracy: 0.740, Validation Accuracy: 0.732, Loss: 0.311 Epoch 2 Batch 67/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.733, Loss: 0.304 Epoch 2 Batch 68/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.732, Loss: 0.346 Epoch 2 Batch 69/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.742, Loss: 0.330 Epoch 2 Batch 70/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.731, Loss: 0.334 Epoch 2 Batch 71/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.748, Loss: 0.310 Epoch 2 Batch 72/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.731, Loss: 0.315 Epoch 2 Batch 73/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.714, Loss: 0.313 Epoch 2 Batch 74/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.703, Loss: 0.302 Epoch 2 Batch 75/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.704, Loss: 0.336 Epoch 2 Batch 76/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.721, Loss: 0.297 Epoch 2 Batch 77/1077 - Train Accuracy: 0.739, Validation Accuracy: 0.717, Loss: 0.319 Epoch 2 Batch 78/1077 - Train Accuracy: 0.706, Validation Accuracy: 0.720, Loss: 0.326 Epoch 2 Batch 79/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.713, Loss: 0.312 Epoch 2 Batch 80/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.711, Loss: 0.304 Epoch 2 Batch 81/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.701, Loss: 0.310 Epoch 2 Batch 82/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.718, Loss: 0.287 Epoch 2 Batch 83/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.726, Loss: 0.334 Epoch 2 Batch 84/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.717, Loss: 0.306 Epoch 2 Batch 85/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.721, Loss: 0.312 Epoch 2 Batch 86/1077 - Train Accuracy: 0.780, Validation Accuracy: 0.718, Loss: 0.329 Epoch 2 Batch 87/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.713, Loss: 0.340 Epoch 2 Batch 88/1077 - Train Accuracy: 0.712, Validation Accuracy: 0.695, Loss: 0.317 Epoch 2 Batch 89/1077 - Train Accuracy: 0.721, Validation Accuracy: 0.690, Loss: 0.332 Epoch 2 Batch 90/1077 - Train Accuracy: 0.739, Validation Accuracy: 0.724, Loss: 0.336 Epoch 2 Batch 91/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.730, Loss: 0.279 Epoch 2 Batch 92/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.723, Loss: 0.305 Epoch 2 Batch 93/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.737, Loss: 0.327 Epoch 2 Batch 94/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.745, Loss: 0.288 Epoch 2 Batch 95/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.751, Loss: 0.314 Epoch 2 Batch 96/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.742, Loss: 0.295 Epoch 2 Batch 97/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.740, Loss: 0.304 Epoch 2 Batch 98/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.747, Loss: 0.299 Epoch 2 Batch 99/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.765, Loss: 0.312 Epoch 2 Batch 100/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.752, Loss: 0.301 Epoch 2 Batch 101/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.743, Loss: 0.303 Epoch 2 Batch 102/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.740, Loss: 0.293 Epoch 2 Batch 103/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.740, Loss: 0.336 Epoch 2 Batch 104/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.738, Loss: 0.333 Epoch 2 Batch 105/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.738, Loss: 0.307 Epoch 2 Batch 106/1077 - Train Accuracy: 0.739, Validation Accuracy: 0.735, Loss: 0.340 Epoch 2 Batch 107/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.741, Loss: 0.307 Epoch 2 Batch 108/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.725, Loss: 0.275 Epoch 2 Batch 109/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.736, Loss: 0.309 Epoch 2 Batch 110/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.741, Loss: 0.282 Epoch 2 Batch 111/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.743, Loss: 0.308 Epoch 2 Batch 112/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.735, Loss: 0.313 Epoch 2 Batch 113/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.743, Loss: 0.312 Epoch 2 Batch 114/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.752, Loss: 0.278 Epoch 2 Batch 115/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.753, Loss: 0.309 Epoch 2 Batch 116/1077 - Train Accuracy: 0.724, Validation Accuracy: 0.744, Loss: 0.338 Epoch 2 Batch 117/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.741, Loss: 0.314 Epoch 2 Batch 118/1077 - Train Accuracy: 0.719, Validation Accuracy: 0.755, Loss: 0.343 Epoch 2 Batch 119/1077 - Train Accuracy: 0.780, Validation Accuracy: 0.746, Loss: 0.306 Epoch 2 Batch 120/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.748, Loss: 0.356 Epoch 2 Batch 121/1077 - Train Accuracy: 0.751, Validation Accuracy: 0.761, Loss: 0.309 Epoch 2 Batch 122/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.745, Loss: 0.302 Epoch 2 Batch 123/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.744, Loss: 0.291 Epoch 2 Batch 124/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.727, Loss: 0.322 Epoch 2 Batch 125/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.722, Loss: 0.311 Epoch 2 Batch 126/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.726, Loss: 0.290 Epoch 2 Batch 127/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.728, Loss: 0.294 Epoch 2 Batch 128/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.717, Loss: 0.282 Epoch 2 Batch 129/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.724, Loss: 0.293 Epoch 2 Batch 130/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.718, Loss: 0.294 Epoch 2 Batch 131/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.702, Loss: 0.303 Epoch 2 Batch 132/1077 - Train Accuracy: 0.737, Validation Accuracy: 0.696, Loss: 0.298 Epoch 2 Batch 133/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.703, Loss: 0.310 Epoch 2 Batch 134/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.699, Loss: 0.282 Epoch 2 Batch 135/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.703, Loss: 0.314 Epoch 2 Batch 136/1077 - Train Accuracy: 0.793, Validation Accuracy: 0.732, Loss: 0.292 Epoch 2 Batch 137/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.719, Loss: 0.284 Epoch 2 Batch 138/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.724, Loss: 0.298 Epoch 2 Batch 139/1077 - Train Accuracy: 0.762, Validation Accuracy: 0.726, Loss: 0.312 Epoch 2 Batch 140/1077 - Train Accuracy: 0.783, Validation Accuracy: 0.726, Loss: 0.307 Epoch 2 Batch 141/1077 - Train Accuracy: 0.717, Validation Accuracy: 0.716, Loss: 0.303 Epoch 2 Batch 142/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.717, Loss: 0.286 Epoch 2 Batch 143/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.719, Loss: 0.315 Epoch 2 Batch 144/1077 - Train Accuracy: 0.749, Validation Accuracy: 0.706, Loss: 0.336 Epoch 2 Batch 145/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.722, Loss: 0.308 Epoch 2 Batch 146/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.719, Loss: 0.315 Epoch 2 Batch 147/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.719, Loss: 0.308 Epoch 2 Batch 148/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.721, Loss: 0.296 Epoch 2 Batch 149/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.702, Loss: 0.302 Epoch 2 Batch 150/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.710, Loss: 0.299 Epoch 2 Batch 151/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.722, Loss: 0.283 Epoch 2 Batch 152/1077 - Train Accuracy: 0.774, Validation Accuracy: 0.740, Loss: 0.311 Epoch 2 Batch 153/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.735, Loss: 0.309 Epoch 2 Batch 154/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.742, Loss: 0.317 Epoch 2 Batch 155/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.733, Loss: 0.297 Epoch 2 Batch 156/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.741, Loss: 0.298 Epoch 2 Batch 157/1077 - Train Accuracy: 0.733, Validation Accuracy: 0.746, Loss: 0.294 Epoch 2 Batch 158/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.744, Loss: 0.300 Epoch 2 Batch 159/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.744, Loss: 0.283 Epoch 2 Batch 160/1077 - Train Accuracy: 0.783, Validation Accuracy: 0.734, Loss: 0.283 Epoch 2 Batch 161/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.729, Loss: 0.293 Epoch 2 Batch 162/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.717, Loss: 0.331 Epoch 2 Batch 163/1077 - Train Accuracy: 0.748, Validation Accuracy: 0.729, Loss: 0.320 Epoch 2 Batch 164/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.746, Loss: 0.299 Epoch 2 Batch 165/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.761, Loss: 0.298 Epoch 2 Batch 166/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.739, Loss: 0.304 Epoch 2 Batch 167/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.741, Loss: 0.308 Epoch 2 Batch 168/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.738, Loss: 0.314 Epoch 2 Batch 169/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.743, Loss: 0.291 Epoch 2 Batch 170/1077 - Train Accuracy: 0.743, Validation Accuracy: 0.738, Loss: 0.309 Epoch 2 Batch 171/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.743, Loss: 0.282 Epoch 2 Batch 172/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.728, Loss: 0.283 Epoch 2 Batch 173/1077 - Train Accuracy: 0.718, Validation Accuracy: 0.727, Loss: 0.319 Epoch 2 Batch 174/1077 - Train Accuracy: 0.785, Validation Accuracy: 0.730, Loss: 0.303 Epoch 2 Batch 175/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.718, Loss: 0.297 Epoch 2 Batch 176/1077 - Train Accuracy: 0.751, Validation Accuracy: 0.721, Loss: 0.312 Epoch 2 Batch 177/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.718, Loss: 0.308 Epoch 2 Batch 178/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.740, Loss: 0.298 Epoch 2 Batch 179/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.749, Loss: 0.297 Epoch 2 Batch 180/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.766, Loss: 0.287 Epoch 2 Batch 181/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.743, Loss: 0.304 Epoch 2 Batch 182/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.719, Loss: 0.304 Epoch 2 Batch 183/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.725, Loss: 0.304 Epoch 2 Batch 184/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.729, Loss: 0.291 Epoch 2 Batch 185/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.716, Loss: 0.303 Epoch 2 Batch 186/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.708, Loss: 0.296 Epoch 2 Batch 187/1077 - Train Accuracy: 0.751, Validation Accuracy: 0.709, Loss: 0.290 Epoch 2 Batch 188/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.721, Loss: 0.300 Epoch 2 Batch 189/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.735, Loss: 0.300 Epoch 2 Batch 190/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.745, Loss: 0.282 Epoch 2 Batch 191/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.732, Loss: 0.264 Epoch 2 Batch 192/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.729, Loss: 0.294 Epoch 2 Batch 193/1077 - Train Accuracy: 0.794, Validation Accuracy: 0.733, Loss: 0.268 Epoch 2 Batch 194/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.733, Loss: 0.274 Epoch 2 Batch 195/1077 - Train Accuracy: 0.778, Validation Accuracy: 0.728, Loss: 0.287 Epoch 2 Batch 196/1077 - Train Accuracy: 0.783, Validation Accuracy: 0.735, Loss: 0.280 Epoch 2 Batch 197/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.735, Loss: 0.280 Epoch 2 Batch 198/1077 - Train Accuracy: 0.805, Validation Accuracy: 0.741, Loss: 0.267 Epoch 2 Batch 199/1077 - Train Accuracy: 0.762, Validation Accuracy: 0.753, Loss: 0.280 Epoch 2 Batch 200/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.747, Loss: 0.301 Epoch 2 Batch 201/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.743, Loss: 0.268 Epoch 2 Batch 202/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.752, Loss: 0.292 Epoch 2 Batch 203/1077 - Train Accuracy: 0.739, Validation Accuracy: 0.755, Loss: 0.284 Epoch 2 Batch 204/1077 - Train Accuracy: 0.762, Validation Accuracy: 0.742, Loss: 0.308 Epoch 2 Batch 205/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.756, Loss: 0.286 Epoch 2 Batch 206/1077 - Train Accuracy: 0.802, Validation Accuracy: 0.740, Loss: 0.274 Epoch 2 Batch 207/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.745, Loss: 0.296 Epoch 2 Batch 208/1077 - Train Accuracy: 0.765, Validation Accuracy: 0.737, Loss: 0.284 Epoch 2 Batch 209/1077 - Train Accuracy: 0.788, Validation Accuracy: 0.750, Loss: 0.286 Epoch 2 Batch 210/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.758, Loss: 0.282 Epoch 2 Batch 211/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.764, Loss: 0.280 Epoch 2 Batch 212/1077 - Train Accuracy: 0.730, Validation Accuracy: 0.740, Loss: 0.272 Epoch 2 Batch 213/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.737, Loss: 0.271 Epoch 2 Batch 214/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.747, Loss: 0.284 Epoch 2 Batch 215/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.745, Loss: 0.292 Epoch 2 Batch 216/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.741, Loss: 0.285 Epoch 2 Batch 217/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.750, Loss: 0.277 Epoch 2 Batch 218/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.742, Loss: 0.309 Epoch 2 Batch 219/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.758, Loss: 0.287 Epoch 2 Batch 220/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.763, Loss: 0.295 Epoch 2 Batch 221/1077 - Train Accuracy: 0.792, Validation Accuracy: 0.765, Loss: 0.296 Epoch 2 Batch 222/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.762, Loss: 0.292 Epoch 2 Batch 223/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.753, Loss: 0.277 Epoch 2 Batch 224/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.762, Loss: 0.279 Epoch 2 Batch 225/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.756, Loss: 0.294 Epoch 2 Batch 226/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.760, Loss: 0.284 Epoch 2 Batch 227/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.739, Loss: 0.314 Epoch 2 Batch 228/1077 - Train Accuracy: 0.794, Validation Accuracy: 0.733, Loss: 0.272 Epoch 2 Batch 229/1077 - Train Accuracy: 0.790, Validation Accuracy: 0.734, Loss: 0.281 Epoch 2 Batch 230/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.720, Loss: 0.291 Epoch 2 Batch 231/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.716, Loss: 0.301 Epoch 2 Batch 232/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.723, Loss: 0.303 Epoch 2 Batch 233/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.732, Loss: 0.299 Epoch 2 Batch 234/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.749, Loss: 0.284 Epoch 2 Batch 235/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.733, Loss: 0.266 Epoch 2 Batch 236/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.734, Loss: 0.292 Epoch 2 Batch 237/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.743, Loss: 0.273 Epoch 2 Batch 238/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.741, Loss: 0.279 Epoch 2 Batch 239/1077 - Train Accuracy: 0.800, Validation Accuracy: 0.761, Loss: 0.248 Epoch 2 Batch 240/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.757, Loss: 0.262 Epoch 2 Batch 241/1077 - Train Accuracy: 0.799, Validation Accuracy: 0.757, Loss: 0.261 Epoch 2 Batch 242/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.750, Loss: 0.271 Epoch 2 Batch 243/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.751, Loss: 0.311 Epoch 2 Batch 244/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.762, Loss: 0.263 Epoch 2 Batch 245/1077 - Train Accuracy: 0.770, Validation Accuracy: 0.755, Loss: 0.267 Epoch 2 Batch 246/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.749, Loss: 0.278 Epoch 2 Batch 247/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.749, Loss: 0.274 Epoch 2 Batch 248/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.747, Loss: 0.281 Epoch 2 Batch 249/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.737, Loss: 0.275 Epoch 2 Batch 250/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.736, Loss: 0.274 Epoch 2 Batch 251/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.752, Loss: 0.299 Epoch 2 Batch 252/1077 - Train Accuracy: 0.794, Validation Accuracy: 0.760, Loss: 0.282 Epoch 2 Batch 253/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.762, Loss: 0.267 Epoch 2 Batch 254/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.767, Loss: 0.282 Epoch 2 Batch 255/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.752, Loss: 0.277 Epoch 2 Batch 256/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.762, Loss: 0.318 Epoch 2 Batch 257/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.753, Loss: 0.285 Epoch 2 Batch 258/1077 - Train Accuracy: 0.788, Validation Accuracy: 0.761, Loss: 0.284 Epoch 2 Batch 259/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.745, Loss: 0.288 Epoch 2 Batch 260/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.734, Loss: 0.273 Epoch 2 Batch 261/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.728, Loss: 0.287 Epoch 2 Batch 262/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.735, Loss: 0.269 Epoch 2 Batch 263/1077 - Train Accuracy: 0.802, Validation Accuracy: 0.731, Loss: 0.291 Epoch 2 Batch 264/1077 - Train Accuracy: 0.780, Validation Accuracy: 0.733, Loss: 0.289 Epoch 2 Batch 265/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.738, Loss: 0.273 Epoch 2 Batch 266/1077 - Train Accuracy: 0.777, Validation Accuracy: 0.743, Loss: 0.272 Epoch 2 Batch 267/1077 - Train Accuracy: 0.804, Validation Accuracy: 0.722, Loss: 0.256 Epoch 2 Batch 268/1077 - Train Accuracy: 0.793, Validation Accuracy: 0.734, Loss: 0.310 Epoch 2 Batch 269/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.734, Loss: 0.317 Epoch 2 Batch 270/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.738, Loss: 0.302 Epoch 2 Batch 271/1077 - Train Accuracy: 0.778, Validation Accuracy: 0.732, Loss: 0.265 Epoch 2 Batch 272/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.732, Loss: 0.310 Epoch 2 Batch 273/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.720, Loss: 0.269 Epoch 2 Batch 274/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.719, Loss: 0.282 Epoch 2 Batch 275/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.721, Loss: 0.283 Epoch 2 Batch 276/1077 - Train Accuracy: 0.729, Validation Accuracy: 0.722, Loss: 0.319 Epoch 2 Batch 277/1077 - Train Accuracy: 0.783, Validation Accuracy: 0.737, Loss: 0.264 Epoch 2 Batch 278/1077 - Train Accuracy: 0.749, Validation Accuracy: 0.748, Loss: 0.314 Epoch 2 Batch 279/1077 - Train Accuracy: 0.714, Validation Accuracy: 0.724, Loss: 0.316 Epoch 2 Batch 280/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.744, Loss: 0.294 Epoch 2 Batch 281/1077 - Train Accuracy: 0.778, Validation Accuracy: 0.754, Loss: 0.301 Epoch 2 Batch 282/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.755, Loss: 0.312 Epoch 2 Batch 283/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.744, Loss: 0.294 Epoch 2 Batch 284/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.735, Loss: 0.294 Epoch 2 Batch 285/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.741, Loss: 0.294 Epoch 2 Batch 286/1077 - Train Accuracy: 0.801, Validation Accuracy: 0.739, Loss: 0.281 Epoch 2 Batch 287/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.748, Loss: 0.284 Epoch 2 Batch 288/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.751, Loss: 0.301 Epoch 2 Batch 289/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.747, Loss: 0.297 Epoch 2 Batch 290/1077 - Train Accuracy: 0.740, Validation Accuracy: 0.739, Loss: 0.300 Epoch 2 Batch 291/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.743, Loss: 0.298 Epoch 2 Batch 292/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.746, Loss: 0.288 Epoch 2 Batch 293/1077 - Train Accuracy: 0.723, Validation Accuracy: 0.766, Loss: 0.299 Epoch 2 Batch 294/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.770, Loss: 0.270 Epoch 2 Batch 295/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.775, Loss: 0.307 Epoch 2 Batch 296/1077 - Train Accuracy: 0.799, Validation Accuracy: 0.774, Loss: 0.265 Epoch 2 Batch 297/1077 - Train Accuracy: 0.762, Validation Accuracy: 0.773, Loss: 0.305 Epoch 2 Batch 298/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.765, Loss: 0.308 Epoch 2 Batch 299/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.758, Loss: 0.276 Epoch 2 Batch 300/1077 - Train Accuracy: 0.805, Validation Accuracy: 0.749, Loss: 0.278 Epoch 2 Batch 301/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.737, Loss: 0.271 Epoch 2 Batch 302/1077 - Train Accuracy: 0.792, Validation Accuracy: 0.743, Loss: 0.277 Epoch 2 Batch 303/1077 - Train Accuracy: 0.802, Validation Accuracy: 0.729, Loss: 0.300 Epoch 2 Batch 304/1077 - Train Accuracy: 0.770, Validation Accuracy: 0.729, Loss: 0.263 Epoch 2 Batch 305/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.726, Loss: 0.275 Epoch 2 Batch 306/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.727, Loss: 0.282 Epoch 2 Batch 307/1077 - Train Accuracy: 0.722, Validation Accuracy: 0.729, Loss: 0.281 Epoch 2 Batch 308/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.733, Loss: 0.290 Epoch 2 Batch 309/1077 - Train Accuracy: 0.810, Validation Accuracy: 0.738, Loss: 0.256 Epoch 2 Batch 310/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.746, Loss: 0.296 Epoch 2 Batch 311/1077 - Train Accuracy: 0.728, Validation Accuracy: 0.747, Loss: 0.272 Epoch 2 Batch 312/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.762, Loss: 0.302 Epoch 2 Batch 313/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.759, Loss: 0.278 Epoch 2 Batch 314/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.752, Loss: 0.286 Epoch 2 Batch 315/1077 - Train Accuracy: 0.797, Validation Accuracy: 0.767, Loss: 0.259 Epoch 2 Batch 316/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.762, Loss: 0.262 Epoch 2 Batch 317/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.764, Loss: 0.301 Epoch 2 Batch 318/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.756, Loss: 0.287 Epoch 2 Batch 319/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.740, Loss: 0.286 Epoch 2 Batch 320/1077 - Train Accuracy: 0.756, Validation Accuracy: 0.739, Loss: 0.290 Epoch 2 Batch 321/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.744, Loss: 0.280 Epoch 2 Batch 322/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.754, Loss: 0.277 Epoch 2 Batch 323/1077 - Train Accuracy: 0.790, Validation Accuracy: 0.746, Loss: 0.290 Epoch 2 Batch 324/1077 - Train Accuracy: 0.746, Validation Accuracy: 0.740, Loss: 0.275 Epoch 2 Batch 325/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.747, Loss: 0.262 Epoch 2 Batch 326/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.755, Loss: 0.269 Epoch 2 Batch 327/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.754, Loss: 0.302 Epoch 2 Batch 328/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.750, Loss: 0.273 Epoch 2 Batch 329/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.759, Loss: 0.283 Epoch 2 Batch 330/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.733, Loss: 0.282 Epoch 2 Batch 331/1077 - Train Accuracy: 0.794, Validation Accuracy: 0.735, Loss: 0.284 Epoch 2 Batch 332/1077 - Train Accuracy: 0.785, Validation Accuracy: 0.733, Loss: 0.249 Epoch 2 Batch 333/1077 - Train Accuracy: 0.777, Validation Accuracy: 0.717, Loss: 0.269 Epoch 2 Batch 334/1077 - Train Accuracy: 0.804, Validation Accuracy: 0.705, Loss: 0.268 Epoch 2 Batch 335/1077 - Train Accuracy: 0.808, Validation Accuracy: 0.710, Loss: 0.269 Epoch 2 Batch 336/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.722, Loss: 0.300 Epoch 2 Batch 337/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.732, Loss: 0.298 Epoch 2 Batch 338/1077 - Train Accuracy: 0.734, Validation Accuracy: 0.729, Loss: 0.302 Epoch 2 Batch 339/1077 - Train Accuracy: 0.794, Validation Accuracy: 0.737, Loss: 0.261 Epoch 2 Batch 340/1077 - Train Accuracy: 0.793, Validation Accuracy: 0.755, Loss: 0.275 Epoch 2 Batch 341/1077 - Train Accuracy: 0.774, Validation Accuracy: 0.755, Loss: 0.312 Epoch 2 Batch 342/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.757, Loss: 0.269 Epoch 2 Batch 343/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.753, Loss: 0.289 Epoch 2 Batch 344/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.769, Loss: 0.279 Epoch 2 Batch 345/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.751, Loss: 0.266 Epoch 2 Batch 346/1077 - Train Accuracy: 0.750, Validation Accuracy: 0.750, Loss: 0.287 Epoch 2 Batch 347/1077 - Train Accuracy: 0.803, Validation Accuracy: 0.744, Loss: 0.247 Epoch 2 Batch 348/1077 - Train Accuracy: 0.794, Validation Accuracy: 0.738, Loss: 0.273 Epoch 2 Batch 349/1077 - Train Accuracy: 0.770, Validation Accuracy: 0.731, Loss: 0.271 Epoch 2 Batch 350/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.744, Loss: 0.279 Epoch 2 Batch 351/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.744, Loss: 0.286 Epoch 2 Batch 352/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.745, Loss: 0.285 Epoch 2 Batch 353/1077 - Train Accuracy: 0.709, Validation Accuracy: 0.735, Loss: 0.310 Epoch 2 Batch 354/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.732, Loss: 0.297 Epoch 2 Batch 355/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.739, Loss: 0.281 Epoch 2 Batch 356/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.734, Loss: 0.288 Epoch 2 Batch 357/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.711, Loss: 0.267 Epoch 2 Batch 358/1077 - Train Accuracy: 0.700, Validation Accuracy: 0.742, Loss: 0.316 Epoch 2 Batch 359/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.742, Loss: 0.284 Epoch 2 Batch 360/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.737, Loss: 0.280 Epoch 2 Batch 361/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.756, Loss: 0.287 Epoch 2 Batch 362/1077 - Train Accuracy: 0.790, Validation Accuracy: 0.752, Loss: 0.281 Epoch 2 Batch 363/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.744, Loss: 0.290 Epoch 2 Batch 364/1077 - Train Accuracy: 0.749, Validation Accuracy: 0.740, Loss: 0.297 Epoch 2 Batch 365/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.735, Loss: 0.267 Epoch 2 Batch 366/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.740, Loss: 0.271 Epoch 2 Batch 367/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.737, Loss: 0.257 Epoch 2 Batch 368/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.739, Loss: 0.271 Epoch 2 Batch 369/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.732, Loss: 0.271 Epoch 2 Batch 370/1077 - Train Accuracy: 0.805, Validation Accuracy: 0.739, Loss: 0.277 Epoch 2 Batch 371/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.725, Loss: 0.266 Epoch 2 Batch 372/1077 - Train Accuracy: 0.788, Validation Accuracy: 0.704, Loss: 0.260 Epoch 2 Batch 373/1077 - Train Accuracy: 0.805, Validation Accuracy: 0.711, Loss: 0.250 Epoch 2 Batch 374/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.746, Loss: 0.292 Epoch 2 Batch 375/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.739, Loss: 0.253 Epoch 2 Batch 376/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.736, Loss: 0.290 Epoch 2 Batch 377/1077 - Train Accuracy: 0.785, Validation Accuracy: 0.744, Loss: 0.282 Epoch 2 Batch 378/1077 - Train Accuracy: 0.783, Validation Accuracy: 0.755, Loss: 0.268 Epoch 2 Batch 379/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.755, Loss: 0.287 Epoch 2 Batch 380/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.757, Loss: 0.264 Epoch 2 Batch 381/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.763, Loss: 0.283 Epoch 2 Batch 382/1077 - Train Accuracy: 0.788, Validation Accuracy: 0.771, Loss: 0.298 Epoch 2 Batch 383/1077 - Train Accuracy: 0.790, Validation Accuracy: 0.759, Loss: 0.260 Epoch 2 Batch 384/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.772, Loss: 0.267 Epoch 2 Batch 385/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.767, Loss: 0.264 Epoch 2 Batch 386/1077 - Train Accuracy: 0.806, Validation Accuracy: 0.768, Loss: 0.265 Epoch 2 Batch 387/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.754, Loss: 0.266 Epoch 2 Batch 388/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.748, Loss: 0.281 Epoch 2 Batch 389/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.739, Loss: 0.273 Epoch 2 Batch 390/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.746, Loss: 0.302 Epoch 2 Batch 391/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.744, Loss: 0.269 Epoch 2 Batch 392/1077 - Train Accuracy: 0.788, Validation Accuracy: 0.760, Loss: 0.283 Epoch 2 Batch 393/1077 - Train Accuracy: 0.788, Validation Accuracy: 0.760, Loss: 0.252 Epoch 2 Batch 394/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.768, Loss: 0.271 Epoch 2 Batch 395/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.777, Loss: 0.266 Epoch 2 Batch 396/1077 - Train Accuracy: 0.785, Validation Accuracy: 0.786, Loss: 0.274 Epoch 2 Batch 397/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.761, Loss: 0.284 Epoch 2 Batch 398/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.757, Loss: 0.282 Epoch 2 Batch 399/1077 - Train Accuracy: 0.694, Validation Accuracy: 0.755, Loss: 0.293 Epoch 2 Batch 400/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.741, Loss: 0.286 Epoch 2 Batch 401/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.748, Loss: 0.274 Epoch 2 Batch 402/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.711, Loss: 0.256 Epoch 2 Batch 403/1077 - Train Accuracy: 0.725, Validation Accuracy: 0.723, Loss: 0.296 Epoch 2 Batch 404/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.732, Loss: 0.266 Epoch 2 Batch 405/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.739, Loss: 0.289 Epoch 2 Batch 406/1077 - Train Accuracy: 0.802, Validation Accuracy: 0.753, Loss: 0.271 Epoch 2 Batch 407/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.752, Loss: 0.280 Epoch 2 Batch 408/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.749, Loss: 0.279 Epoch 2 Batch 409/1077 - Train Accuracy: 0.778, Validation Accuracy: 0.748, Loss: 0.287 Epoch 2 Batch 410/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.756, Loss: 0.297 Epoch 2 Batch 411/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.750, Loss: 0.269 Epoch 2 Batch 412/1077 - Train Accuracy: 0.793, Validation Accuracy: 0.768, Loss: 0.263 Epoch 2 Batch 413/1077 - Train Accuracy: 0.751, Validation Accuracy: 0.766, Loss: 0.255 Epoch 2 Batch 414/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.757, Loss: 0.289 Epoch 2 Batch 415/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.750, Loss: 0.266 Epoch 2 Batch 416/1077 - Train Accuracy: 0.827, Validation Accuracy: 0.759, Loss: 0.266 Epoch 2 Batch 417/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.767, Loss: 0.299 Epoch 2 Batch 418/1077 - Train Accuracy: 0.806, Validation Accuracy: 0.765, Loss: 0.276 Epoch 2 Batch 419/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.754, Loss: 0.269 Epoch 2 Batch 420/1077 - Train Accuracy: 0.825, Validation Accuracy: 0.748, Loss: 0.257 Epoch 2 Batch 421/1077 - Train Accuracy: 0.744, Validation Accuracy: 0.773, Loss: 0.281 Epoch 2 Batch 422/1077 - Train Accuracy: 0.774, Validation Accuracy: 0.772, Loss: 0.263 Epoch 2 Batch 423/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.765, Loss: 0.273 Epoch 2 Batch 424/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.752, Loss: 0.285 Epoch 2 Batch 425/1077 - Train Accuracy: 0.783, Validation Accuracy: 0.743, Loss: 0.260 Epoch 2 Batch 426/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.749, Loss: 0.290 Epoch 2 Batch 427/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.738, Loss: 0.267 Epoch 2 Batch 428/1077 - Train Accuracy: 0.778, Validation Accuracy: 0.743, Loss: 0.245 Epoch 2 Batch 429/1077 - Train Accuracy: 0.811, Validation Accuracy: 0.758, Loss: 0.250 Epoch 2 Batch 430/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.760, Loss: 0.273 Epoch 2 Batch 431/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.755, Loss: 0.258 Epoch 2 Batch 432/1077 - Train Accuracy: 0.783, Validation Accuracy: 0.749, Loss: 0.264 Epoch 2 Batch 433/1077 - Train Accuracy: 0.765, Validation Accuracy: 0.745, Loss: 0.283 Epoch 2 Batch 434/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.749, Loss: 0.269 Epoch 2 Batch 435/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.728, Loss: 0.287 Epoch 2 Batch 436/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.743, Loss: 0.258 Epoch 2 Batch 437/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.743, Loss: 0.272 Epoch 2 Batch 438/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.738, Loss: 0.266 Epoch 2 Batch 439/1077 - Train Accuracy: 0.751, Validation Accuracy: 0.719, Loss: 0.282 Epoch 2 Batch 440/1077 - Train Accuracy: 0.732, Validation Accuracy: 0.717, Loss: 0.285 Epoch 2 Batch 441/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.738, Loss: 0.270 Epoch 2 Batch 442/1077 - Train Accuracy: 0.798, Validation Accuracy: 0.763, Loss: 0.255 Epoch 2 Batch 443/1077 - Train Accuracy: 0.825, Validation Accuracy: 0.744, Loss: 0.253 Epoch 2 Batch 444/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.758, Loss: 0.272 Epoch 2 Batch 445/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.753, Loss: 0.284 Epoch 2 Batch 446/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.749, Loss: 0.245 Epoch 2 Batch 447/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.741, Loss: 0.271 Epoch 2 Batch 448/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.746, Loss: 0.289 Epoch 2 Batch 449/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.736, Loss: 0.289 Epoch 2 Batch 450/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.722, Loss: 0.256 Epoch 2 Batch 451/1077 - Train Accuracy: 0.798, Validation Accuracy: 0.751, Loss: 0.251 Epoch 2 Batch 452/1077 - Train Accuracy: 0.778, Validation Accuracy: 0.754, Loss: 0.283 Epoch 2 Batch 453/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.749, Loss: 0.265 Epoch 2 Batch 454/1077 - Train Accuracy: 0.749, Validation Accuracy: 0.740, Loss: 0.282 Epoch 2 Batch 455/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.748, Loss: 0.258 Epoch 2 Batch 456/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.750, Loss: 0.273 Epoch 2 Batch 457/1077 - Train Accuracy: 0.742, Validation Accuracy: 0.747, Loss: 0.265 Epoch 2 Batch 458/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.777, Loss: 0.289 Epoch 2 Batch 459/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.765, Loss: 0.256 Epoch 2 Batch 460/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.764, Loss: 0.278 Epoch 2 Batch 461/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.759, Loss: 0.267 Epoch 2 Batch 462/1077 - Train Accuracy: 0.800, Validation Accuracy: 0.748, Loss: 0.275 Epoch 2 Batch 463/1077 - Train Accuracy: 0.741, Validation Accuracy: 0.737, Loss: 0.279 Epoch 2 Batch 464/1077 - Train Accuracy: 0.778, Validation Accuracy: 0.721, Loss: 0.258 Epoch 2 Batch 465/1077 - Train Accuracy: 0.736, Validation Accuracy: 0.722, Loss: 0.328 Epoch 2 Batch 466/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.714, Loss: 0.284 Epoch 2 Batch 467/1077 - Train Accuracy: 0.817, Validation Accuracy: 0.719, Loss: 0.270 Epoch 2 Batch 468/1077 - Train Accuracy: 0.810, Validation Accuracy: 0.692, Loss: 0.259 Epoch 2 Batch 469/1077 - Train Accuracy: 0.751, Validation Accuracy: 0.705, Loss: 0.284 Epoch 2 Batch 470/1077 - Train Accuracy: 0.716, Validation Accuracy: 0.733, Loss: 0.291 Epoch 2 Batch 471/1077 - Train Accuracy: 0.819, Validation Accuracy: 0.739, Loss: 0.264 Epoch 2 Batch 472/1077 - Train Accuracy: 0.752, Validation Accuracy: 0.752, Loss: 0.234 Epoch 2 Batch 473/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.762, Loss: 0.290 Epoch 2 Batch 474/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.763, Loss: 0.276 Epoch 2 Batch 475/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.765, Loss: 0.263 Epoch 2 Batch 476/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.748, Loss: 0.269 Epoch 2 Batch 477/1077 - Train Accuracy: 0.818, Validation Accuracy: 0.743, Loss: 0.244 Epoch 2 Batch 478/1077 - Train Accuracy: 0.780, Validation Accuracy: 0.761, Loss: 0.295 Epoch 2 Batch 479/1077 - Train Accuracy: 0.745, Validation Accuracy: 0.746, Loss: 0.282 Epoch 2 Batch 480/1077 - Train Accuracy: 0.774, Validation Accuracy: 0.764, Loss: 0.274 Epoch 2 Batch 481/1077 - Train Accuracy: 0.778, Validation Accuracy: 0.767, Loss: 0.265 Epoch 2 Batch 482/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.765, Loss: 0.274 Epoch 2 Batch 483/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.746, Loss: 0.289 Epoch 2 Batch 484/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.738, Loss: 0.257 Epoch 2 Batch 485/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.738, Loss: 0.271 Epoch 2 Batch 486/1077 - Train Accuracy: 0.763, Validation Accuracy: 0.756, Loss: 0.264 Epoch 2 Batch 487/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.773, Loss: 0.275 Epoch 2 Batch 488/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.759, Loss: 0.271 Epoch 2 Batch 489/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.756, Loss: 0.249 Epoch 2 Batch 490/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.755, Loss: 0.284 Epoch 2 Batch 491/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.735, Loss: 0.264 Epoch 2 Batch 492/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.745, Loss: 0.273 Epoch 2 Batch 493/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.745, Loss: 0.238 Epoch 2 Batch 494/1077 - Train Accuracy: 0.793, Validation Accuracy: 0.764, Loss: 0.248 Epoch 2 Batch 495/1077 - Train Accuracy: 0.759, Validation Accuracy: 0.781, Loss: 0.253 Epoch 2 Batch 496/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.782, Loss: 0.276 Epoch 2 Batch 497/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.766, Loss: 0.284 Epoch 2 Batch 498/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.765, Loss: 0.261 Epoch 2 Batch 499/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.771, Loss: 0.248 Epoch 2 Batch 500/1077 - Train Accuracy: 0.800, Validation Accuracy: 0.787, Loss: 0.264 Epoch 2 Batch 501/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.761, Loss: 0.255 Epoch 2 Batch 502/1077 - Train Accuracy: 0.799, Validation Accuracy: 0.769, Loss: 0.272 Epoch 2 Batch 503/1077 - Train Accuracy: 0.825, Validation Accuracy: 0.771, Loss: 0.258 Epoch 2 Batch 504/1077 - Train Accuracy: 0.765, Validation Accuracy: 0.776, Loss: 0.284 Epoch 2 Batch 505/1077 - Train Accuracy: 0.809, Validation Accuracy: 0.767, Loss: 0.229 Epoch 2 Batch 506/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.774, Loss: 0.265 Epoch 2 Batch 507/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.769, Loss: 0.263 Epoch 2 Batch 508/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.774, Loss: 0.254 Epoch 2 Batch 509/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.763, Loss: 0.275 Epoch 2 Batch 510/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.755, Loss: 0.253 Epoch 2 Batch 511/1077 - Train Accuracy: 0.774, Validation Accuracy: 0.767, Loss: 0.253 Epoch 2 Batch 512/1077 - Train Accuracy: 0.809, Validation Accuracy: 0.773, Loss: 0.257 Epoch 2 Batch 513/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.775, Loss: 0.263 Epoch 2 Batch 514/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.776, Loss: 0.269 Epoch 2 Batch 515/1077 - Train Accuracy: 0.758, Validation Accuracy: 0.772, Loss: 0.280 Epoch 2 Batch 516/1077 - Train Accuracy: 0.799, Validation Accuracy: 0.775, Loss: 0.240 Epoch 2 Batch 517/1077 - Train Accuracy: 0.783, Validation Accuracy: 0.763, Loss: 0.257 Epoch 2 Batch 518/1077 - Train Accuracy: 0.813, Validation Accuracy: 0.781, Loss: 0.242 Epoch 2 Batch 519/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.760, Loss: 0.258 Epoch 2 Batch 520/1077 - Train Accuracy: 0.834, Validation Accuracy: 0.752, Loss: 0.235 Epoch 2 Batch 521/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.746, Loss: 0.246 Epoch 2 Batch 522/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.737, Loss: 0.277 Epoch 2 Batch 523/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.736, Loss: 0.269 Epoch 2 Batch 524/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.749, Loss: 0.255 Epoch 2 Batch 525/1077 - Train Accuracy: 0.785, Validation Accuracy: 0.752, Loss: 0.252 Epoch 2 Batch 526/1077 - Train Accuracy: 0.805, Validation Accuracy: 0.747, Loss: 0.255 Epoch 2 Batch 527/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.737, Loss: 0.265 Epoch 2 Batch 528/1077 - Train Accuracy: 0.774, Validation Accuracy: 0.723, Loss: 0.246 Epoch 2 Batch 529/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.730, Loss: 0.263 Epoch 2 Batch 530/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.742, Loss: 0.271 Epoch 2 Batch 531/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.747, Loss: 0.250 Epoch 2 Batch 532/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.767, Loss: 0.276 Epoch 2 Batch 533/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.766, Loss: 0.269 Epoch 2 Batch 534/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.773, Loss: 0.265 Epoch 2 Batch 535/1077 - Train Accuracy: 0.774, Validation Accuracy: 0.756, Loss: 0.258 Epoch 2 Batch 536/1077 - Train Accuracy: 0.777, Validation Accuracy: 0.747, Loss: 0.243 Epoch 2 Batch 537/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.759, Loss: 0.253 Epoch 2 Batch 538/1077 - Train Accuracy: 0.810, Validation Accuracy: 0.760, Loss: 0.233 Epoch 2 Batch 539/1077 - Train Accuracy: 0.788, Validation Accuracy: 0.761, Loss: 0.269 Epoch 2 Batch 540/1077 - Train Accuracy: 0.808, Validation Accuracy: 0.767, Loss: 0.238 Epoch 2 Batch 541/1077 - Train Accuracy: 0.770, Validation Accuracy: 0.754, Loss: 0.258 Epoch 2 Batch 542/1077 - Train Accuracy: 0.809, Validation Accuracy: 0.748, Loss: 0.253 Epoch 2 Batch 543/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.755, Loss: 0.253 Epoch 2 Batch 544/1077 - Train Accuracy: 0.799, Validation Accuracy: 0.767, Loss: 0.245 Epoch 2 Batch 545/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.754, Loss: 0.278 Epoch 2 Batch 546/1077 - Train Accuracy: 0.757, Validation Accuracy: 0.757, Loss: 0.266 Epoch 2 Batch 547/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.764, Loss: 0.266 Epoch 2 Batch 548/1077 - Train Accuracy: 0.780, Validation Accuracy: 0.758, Loss: 0.269 Epoch 2 Batch 549/1077 - Train Accuracy: 0.735, Validation Accuracy: 0.753, Loss: 0.281 Epoch 2 Batch 550/1077 - Train Accuracy: 0.755, Validation Accuracy: 0.762, Loss: 0.269 Epoch 2 Batch 551/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.758, Loss: 0.271 Epoch 2 Batch 552/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.759, Loss: 0.271 Epoch 2 Batch 553/1077 - Train Accuracy: 0.803, Validation Accuracy: 0.759, Loss: 0.267 Epoch 2 Batch 554/1077 - Train Accuracy: 0.776, Validation Accuracy: 0.768, Loss: 0.267 Epoch 2 Batch 555/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.772, Loss: 0.256 Epoch 2 Batch 556/1077 - Train Accuracy: 0.780, Validation Accuracy: 0.775, Loss: 0.259 Epoch 2 Batch 557/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.776, Loss: 0.267 Epoch 2 Batch 558/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.774, Loss: 0.250 Epoch 2 Batch 559/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.759, Loss: 0.254 Epoch 2 Batch 560/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.763, Loss: 0.252 Epoch 2 Batch 561/1077 - Train Accuracy: 0.792, Validation Accuracy: 0.744, Loss: 0.241 Epoch 2 Batch 562/1077 - Train Accuracy: 0.814, Validation Accuracy: 0.752, Loss: 0.236 Epoch 2 Batch 563/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.748, Loss: 0.269 Epoch 2 Batch 564/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.744, Loss: 0.277 Epoch 2 Batch 565/1077 - Train Accuracy: 0.780, Validation Accuracy: 0.740, Loss: 0.269 Epoch 2 Batch 566/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.745, Loss: 0.274 Epoch 2 Batch 567/1077 - Train Accuracy: 0.802, Validation Accuracy: 0.756, Loss: 0.261 Epoch 2 Batch 568/1077 - Train Accuracy: 0.804, Validation Accuracy: 0.753, Loss: 0.252 Epoch 2 Batch 569/1077 - Train Accuracy: 0.785, Validation Accuracy: 0.754, Loss: 0.256 Epoch 2 Batch 570/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.778, Loss: 0.279 Epoch 2 Batch 571/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.786, Loss: 0.234 Epoch 2 Batch 572/1077 - Train Accuracy: 0.788, Validation Accuracy: 0.788, Loss: 0.236 Epoch 2 Batch 573/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.787, Loss: 0.275 Epoch 2 Batch 574/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.790, Loss: 0.257 Epoch 2 Batch 575/1077 - Train Accuracy: 0.814, Validation Accuracy: 0.798, Loss: 0.251 Epoch 2 Batch 576/1077 - Train Accuracy: 0.794, Validation Accuracy: 0.778, Loss: 0.259 Epoch 2 Batch 577/1077 - Train Accuracy: 0.806, Validation Accuracy: 0.793, Loss: 0.260 Epoch 2 Batch 578/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.771, Loss: 0.266 Epoch 2 Batch 579/1077 - Train Accuracy: 0.778, Validation Accuracy: 0.779, Loss: 0.247 Epoch 2 Batch 580/1077 - Train Accuracy: 0.812, Validation Accuracy: 0.773, Loss: 0.235 Epoch 2 Batch 581/1077 - Train Accuracy: 0.798, Validation Accuracy: 0.777, Loss: 0.233 Epoch 2 Batch 582/1077 - Train Accuracy: 0.815, Validation Accuracy: 0.770, Loss: 0.248 Epoch 2 Batch 583/1077 - Train Accuracy: 0.803, Validation Accuracy: 0.766, Loss: 0.277 Epoch 2 Batch 584/1077 - Train Accuracy: 0.797, Validation Accuracy: 0.765, Loss: 0.247 Epoch 2 Batch 585/1077 - Train Accuracy: 0.808, Validation Accuracy: 0.773, Loss: 0.222 Epoch 2 Batch 586/1077 - Train Accuracy: 0.803, Validation Accuracy: 0.770, Loss: 0.249 Epoch 2 Batch 587/1077 - Train Accuracy: 0.823, Validation Accuracy: 0.770, Loss: 0.245 Epoch 2 Batch 588/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.774, Loss: 0.245 Epoch 2 Batch 589/1077 - Train Accuracy: 0.805, Validation Accuracy: 0.763, Loss: 0.256 Epoch 2 Batch 590/1077 - Train Accuracy: 0.747, Validation Accuracy: 0.767, Loss: 0.278 Epoch 2 Batch 591/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.767, Loss: 0.230 Epoch 2 Batch 592/1077 - Train Accuracy: 0.820, Validation Accuracy: 0.768, Loss: 0.257 Epoch 2 Batch 593/1077 - Train Accuracy: 0.797, Validation Accuracy: 0.785, Loss: 0.262 Epoch 2 Batch 594/1077 - Train Accuracy: 0.801, Validation Accuracy: 0.787, Loss: 0.262 Epoch 2 Batch 595/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.799, Loss: 0.248 Epoch 2 Batch 596/1077 - Train Accuracy: 0.816, Validation Accuracy: 0.794, Loss: 0.255 Epoch 2 Batch 597/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.789, Loss: 0.265 Epoch 2 Batch 598/1077 - Train Accuracy: 0.811, Validation Accuracy: 0.781, Loss: 0.247 Epoch 2 Batch 599/1077 - Train Accuracy: 0.766, Validation Accuracy: 0.781, Loss: 0.276 Epoch 2 Batch 600/1077 - Train Accuracy: 0.802, Validation Accuracy: 0.791, Loss: 0.241 Epoch 2 Batch 601/1077 - Train Accuracy: 0.804, Validation Accuracy: 0.789, Loss: 0.240 Epoch 2 Batch 602/1077 - Train Accuracy: 0.821, Validation Accuracy: 0.783, Loss: 0.243 Epoch 2 Batch 603/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.799, Loss: 0.240 Epoch 2 Batch 604/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.801, Loss: 0.260 Epoch 2 Batch 605/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.803, Loss: 0.269 Epoch 2 Batch 606/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.804, Loss: 0.231 Epoch 2 Batch 607/1077 - Train Accuracy: 0.821, Validation Accuracy: 0.785, Loss: 0.239 Epoch 2 Batch 608/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.785, Loss: 0.276 Epoch 2 Batch 609/1077 - Train Accuracy: 0.765, Validation Accuracy: 0.767, Loss: 0.259 Epoch 2 Batch 610/1077 - Train Accuracy: 0.785, Validation Accuracy: 0.770, Loss: 0.272 Epoch 2 Batch 611/1077 - Train Accuracy: 0.800, Validation Accuracy: 0.767, Loss: 0.239 Epoch 2 Batch 612/1077 - Train Accuracy: 0.794, Validation Accuracy: 0.747, Loss: 0.229 Epoch 2 Batch 613/1077 - Train Accuracy: 0.754, Validation Accuracy: 0.753, Loss: 0.270 Epoch 2 Batch 614/1077 - Train Accuracy: 0.806, Validation Accuracy: 0.750, Loss: 0.242 Epoch 2 Batch 615/1077 - Train Accuracy: 0.794, Validation Accuracy: 0.748, Loss: 0.250 Epoch 2 Batch 616/1077 - Train Accuracy: 0.803, Validation Accuracy: 0.768, Loss: 0.255 Epoch 2 Batch 617/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.787, Loss: 0.232 Epoch 2 Batch 618/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.789, Loss: 0.252 Epoch 2 Batch 619/1077 - Train Accuracy: 0.805, Validation Accuracy: 0.797, Loss: 0.248 Epoch 2 Batch 620/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.782, Loss: 0.242 Epoch 2 Batch 621/1077 - Train Accuracy: 0.834, Validation Accuracy: 0.790, Loss: 0.249 Epoch 2 Batch 622/1077 - Train Accuracy: 0.801, Validation Accuracy: 0.790, Loss: 0.263 Epoch 2 Batch 623/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.761, Loss: 0.264 Epoch 2 Batch 624/1077 - Train Accuracy: 0.803, Validation Accuracy: 0.762, Loss: 0.242 Epoch 2 Batch 625/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.775, Loss: 0.259 Epoch 2 Batch 626/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.755, Loss: 0.223 Epoch 2 Batch 627/1077 - Train Accuracy: 0.773, Validation Accuracy: 0.754, Loss: 0.242 Epoch 2 Batch 628/1077 - Train Accuracy: 0.793, Validation Accuracy: 0.768, Loss: 0.263 Epoch 2 Batch 629/1077 - Train Accuracy: 0.797, Validation Accuracy: 0.762, Loss: 0.260 Epoch 2 Batch 630/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.766, Loss: 0.247 Epoch 2 Batch 631/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.772, Loss: 0.248 Epoch 2 Batch 632/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.787, Loss: 0.241 Epoch 2 Batch 633/1077 - Train Accuracy: 0.801, Validation Accuracy: 0.797, Loss: 0.253 Epoch 2 Batch 634/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.796, Loss: 0.225 Epoch 2 Batch 635/1077 - Train Accuracy: 0.785, Validation Accuracy: 0.788, Loss: 0.271 Epoch 2 Batch 636/1077 - Train Accuracy: 0.822, Validation Accuracy: 0.767, Loss: 0.247 Epoch 2 Batch 637/1077 - Train Accuracy: 0.764, Validation Accuracy: 0.766, Loss: 0.260 Epoch 2 Batch 638/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.768, Loss: 0.240 Epoch 2 Batch 639/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.756, Loss: 0.254 Epoch 2 Batch 640/1077 - Train Accuracy: 0.774, Validation Accuracy: 0.770, Loss: 0.246 Epoch 2 Batch 641/1077 - Train Accuracy: 0.806, Validation Accuracy: 0.761, Loss: 0.236 Epoch 2 Batch 642/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.773, Loss: 0.250 Epoch 2 Batch 643/1077 - Train Accuracy: 0.811, Validation Accuracy: 0.775, Loss: 0.228 Epoch 2 Batch 644/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.778, Loss: 0.243 Epoch 2 Batch 645/1077 - Train Accuracy: 0.805, Validation Accuracy: 0.774, Loss: 0.230 Epoch 2 Batch 646/1077 - Train Accuracy: 0.798, Validation Accuracy: 0.785, Loss: 0.247 Epoch 2 Batch 647/1077 - Train Accuracy: 0.760, Validation Accuracy: 0.773, Loss: 0.268 Epoch 2 Batch 648/1077 - Train Accuracy: 0.802, Validation Accuracy: 0.771, Loss: 0.227 Epoch 2 Batch 649/1077 - Train Accuracy: 0.778, Validation Accuracy: 0.779, Loss: 0.256 Epoch 2 Batch 650/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.762, Loss: 0.259 Epoch 2 Batch 651/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.757, Loss: 0.252 Epoch 2 Batch 652/1077 - Train Accuracy: 0.805, Validation Accuracy: 0.767, Loss: 0.254 Epoch 2 Batch 653/1077 - Train Accuracy: 0.805, Validation Accuracy: 0.762, Loss: 0.250 Epoch 2 Batch 654/1077 - Train Accuracy: 0.812, Validation Accuracy: 0.759, Loss: 0.239 Epoch 2 Batch 655/1077 - Train Accuracy: 0.793, Validation Accuracy: 0.771, Loss: 0.254 Epoch 2 Batch 656/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.771, Loss: 0.247 Epoch 2 Batch 657/1077 - Train Accuracy: 0.808, Validation Accuracy: 0.771, Loss: 0.260 Epoch 2 Batch 658/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.765, Loss: 0.239 Epoch 2 Batch 659/1077 - Train Accuracy: 0.816, Validation Accuracy: 0.772, Loss: 0.243 Epoch 2 Batch 660/1077 - Train Accuracy: 0.828, Validation Accuracy: 0.768, Loss: 0.242 Epoch 2 Batch 661/1077 - Train Accuracy: 0.821, Validation Accuracy: 0.763, Loss: 0.218 Epoch 2 Batch 662/1077 - Train Accuracy: 0.815, Validation Accuracy: 0.746, Loss: 0.232 Epoch 2 Batch 663/1077 - Train Accuracy: 0.777, Validation Accuracy: 0.732, Loss: 0.231 Epoch 2 Batch 664/1077 - Train Accuracy: 0.822, Validation Accuracy: 0.738, Loss: 0.241 Epoch 2 Batch 665/1077 - Train Accuracy: 0.801, Validation Accuracy: 0.741, Loss: 0.237 Epoch 2 Batch 666/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.754, Loss: 0.265 Epoch 2 Batch 667/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.771, Loss: 0.265 Epoch 2 Batch 668/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.766, Loss: 0.252 Epoch 2 Batch 669/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.770, Loss: 0.252 Epoch 2 Batch 670/1077 - Train Accuracy: 0.803, Validation Accuracy: 0.762, Loss: 0.223 Epoch 2 Batch 671/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.764, Loss: 0.261 Epoch 2 Batch 672/1077 - Train Accuracy: 0.820, Validation Accuracy: 0.780, Loss: 0.253 Epoch 2 Batch 673/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.773, Loss: 0.224 Epoch 2 Batch 674/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.782, Loss: 0.252 Epoch 2 Batch 675/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.770, Loss: 0.253 Epoch 2 Batch 676/1077 - Train Accuracy: 0.815, Validation Accuracy: 0.784, Loss: 0.250 Epoch 2 Batch 677/1077 - Train Accuracy: 0.782, Validation Accuracy: 0.786, Loss: 0.274 Epoch 2 Batch 678/1077 - Train Accuracy: 0.798, Validation Accuracy: 0.775, Loss: 0.231 Epoch 2 Batch 679/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.778, Loss: 0.249 Epoch 2 Batch 680/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.743, Loss: 0.238 Epoch 2 Batch 681/1077 - Train Accuracy: 0.801, Validation Accuracy: 0.747, Loss: 0.260 Epoch 2 Batch 682/1077 - Train Accuracy: 0.780, Validation Accuracy: 0.755, Loss: 0.241 Epoch 2 Batch 683/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.769, Loss: 0.241 Epoch 2 Batch 684/1077 - Train Accuracy: 0.816, Validation Accuracy: 0.768, Loss: 0.245 Epoch 2 Batch 685/1077 - Train Accuracy: 0.765, Validation Accuracy: 0.777, Loss: 0.256 Epoch 2 Batch 686/1077 - Train Accuracy: 0.826, Validation Accuracy: 0.786, Loss: 0.228 Epoch 2 Batch 687/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.782, Loss: 0.258 Epoch 2 Batch 688/1077 - Train Accuracy: 0.814, Validation Accuracy: 0.772, Loss: 0.234 Epoch 2 Batch 689/1077 - Train Accuracy: 0.845, Validation Accuracy: 0.781, Loss: 0.243 Epoch 2 Batch 690/1077 - Train Accuracy: 0.813, Validation Accuracy: 0.766, Loss: 0.235 Epoch 2 Batch 691/1077 - Train Accuracy: 0.787, Validation Accuracy: 0.781, Loss: 0.289 Epoch 2 Batch 692/1077 - Train Accuracy: 0.813, Validation Accuracy: 0.783, Loss: 0.227 Epoch 2 Batch 693/1077 - Train Accuracy: 0.738, Validation Accuracy: 0.786, Loss: 0.288 Epoch 2 Batch 694/1077 - Train Accuracy: 0.821, Validation Accuracy: 0.766, Loss: 0.234 Epoch 2 Batch 695/1077 - Train Accuracy: 0.810, Validation Accuracy: 0.775, Loss: 0.230 Epoch 2 Batch 696/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.771, Loss: 0.259 Epoch 2 Batch 697/1077 - Train Accuracy: 0.804, Validation Accuracy: 0.773, Loss: 0.235 Epoch 2 Batch 698/1077 - Train Accuracy: 0.784, Validation Accuracy: 0.779, Loss: 0.238 Epoch 2 Batch 699/1077 - Train Accuracy: 0.792, Validation Accuracy: 0.783, Loss: 0.261 Epoch 2 Batch 700/1077 - Train Accuracy: 0.792, Validation Accuracy: 0.772, Loss: 0.240 Epoch 2 Batch 701/1077 - Train Accuracy: 0.822, Validation Accuracy: 0.759, Loss: 0.244 Epoch 2 Batch 702/1077 - Train Accuracy: 0.788, Validation Accuracy: 0.756, Loss: 0.257 Epoch 2 Batch 703/1077 - Train Accuracy: 0.771, Validation Accuracy: 0.763, Loss: 0.256 Epoch 2 Batch 704/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.745, Loss: 0.259 Epoch 2 Batch 705/1077 - Train Accuracy: 0.802, Validation Accuracy: 0.753, Loss: 0.271 Epoch 2 Batch 706/1077 - Train Accuracy: 0.769, Validation Accuracy: 0.748, Loss: 0.274 Epoch 2 Batch 707/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.744, Loss: 0.243 Epoch 2 Batch 708/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.745, Loss: 0.263 Epoch 2 Batch 709/1077 - Train Accuracy: 0.753, Validation Accuracy: 0.760, Loss: 0.259 Epoch 2 Batch 710/1077 - Train Accuracy: 0.806, Validation Accuracy: 0.767, Loss: 0.244 Epoch 2 Batch 711/1077 - Train Accuracy: 0.768, Validation Accuracy: 0.782, Loss: 0.267 Epoch 2 Batch 712/1077 - Train Accuracy: 0.806, Validation Accuracy: 0.793, Loss: 0.237 Epoch 2 Batch 713/1077 - Train Accuracy: 0.800, Validation Accuracy: 0.789, Loss: 0.217 Epoch 2 Batch 714/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.800, Loss: 0.250 Epoch 2 Batch 715/1077 - Train Accuracy: 0.816, Validation Accuracy: 0.784, Loss: 0.245 Epoch 2 Batch 716/1077 - Train Accuracy: 0.816, Validation Accuracy: 0.787, Loss: 0.225 Epoch 2 Batch 717/1077 - Train Accuracy: 0.823, Validation Accuracy: 0.790, Loss: 0.238 Epoch 2 Batch 718/1077 - Train Accuracy: 0.800, Validation Accuracy: 0.792, Loss: 0.246 Epoch 2 Batch 719/1077 - Train Accuracy: 0.781, Validation Accuracy: 0.773, Loss: 0.234 Epoch 2 Batch 720/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.783, Loss: 0.257 Epoch 2 Batch 721/1077 - Train Accuracy: 0.798, Validation Accuracy: 0.772, Loss: 0.249 Epoch 2 Batch 722/1077 - Train Accuracy: 0.791, Validation Accuracy: 0.775, Loss: 0.243 Epoch 2 Batch 723/1077 - Train Accuracy: 0.821, Validation Accuracy: 0.784, Loss: 0.232 Epoch 2 Batch 724/1077 - Train Accuracy: 0.799, Validation Accuracy: 0.791, Loss: 0.253 Epoch 2 Batch 725/1077 - Train Accuracy: 0.811, Validation Accuracy: 0.769, Loss: 0.224 Epoch 2 Batch 726/1077 - Train Accuracy: 0.812, Validation Accuracy: 0.765, Loss: 0.235 Epoch 2 Batch 727/1077 - Train Accuracy: 0.815, Validation Accuracy: 0.776, Loss: 0.216 Epoch 2 Batch 728/1077 - Train Accuracy: 0.772, Validation Accuracy: 0.768, Loss: 0.240 Epoch 2 Batch 729/1077 - Train Accuracy: 0.751, Validation Accuracy: 0.746, Loss: 0.269 Epoch 2 Batch 730/1077 - Train Accuracy: 0.796, Validation Accuracy: 0.741, Loss: 0.257 Epoch 2 Batch 731/1077 - Train Accuracy: 0.765, Validation Accuracy: 0.746, Loss: 0.248 Epoch 2 Batch 732/1077 - Train Accuracy: 0.767, Validation Accuracy: 0.732, Loss: 0.255 Epoch 2 Batch 733/1077 - Train Accuracy: 0.792, Validation Accuracy: 0.730, Loss: 0.251 Epoch 2 Batch 734/1077 - Train Accuracy: 0.804, Validation Accuracy: 0.740, Loss: 0.269 Epoch 2 Batch 735/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.737, Loss: 0.238 Epoch 2 Batch 736/1077 - Train Accuracy: 0.806, Validation Accuracy: 0.744, Loss: 0.247 Epoch 2 Batch 737/1077 - Train Accuracy: 0.801, Validation Accuracy: 0.752, Loss: 0.267 Epoch 2 Batch 738/1077 - Train Accuracy: 0.808, Validation Accuracy: 0.762, Loss: 0.224 Epoch 2 Batch 739/1077 - Train Accuracy: 0.826, Validation Accuracy: 0.772, Loss: 0.232 Epoch 2 Batch 740/1077 - Train Accuracy: 0.801, Validation Accuracy: 0.779, Loss: 0.237 Epoch 2 Batch 741/1077 - Train Accuracy: 0.810, Validation Accuracy: 0.790, Loss: 0.246 Epoch 2 Batch 742/1077 - Train Accuracy: 0.793, Validation Accuracy: 0.772, Loss: 0.249 Epoch 2 Batch 743/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.773, Loss: 0.258 Epoch 2 Batch 744/1077 - Train Accuracy: 0.775, Validation Accuracy: 0.768, Loss: 0.246 Epoch 2 Batch 745/1077 - Train Accuracy: 0.807, Validation Accuracy: 0.762, Loss: 0.242 Epoch 2 Batch 746/1077 - Train Accuracy: 0.800, Validation Accuracy: 0.762, Loss: 0.239 Epoch 2 Batch 747/1077 - Train Accuracy: 0.803, Validation Accuracy: 0.759, Loss: 0.232 Epoch 2 Batch 748/1077 - Train Accuracy: 0.789, Validation Accuracy: 0.768, Loss: 0.238 Epoch 2 Batch 749/1077 - Train Accuracy: 0.793, Validation Accuracy: 0.761, Loss: 0.247 Epoch 2 Batch 750/1077 - Train Accuracy: 0.827, Validation Accuracy: 0.789, Loss: 0.247 Epoch 2 Batch 751/1077 - Train Accuracy: 0.821, Validation Accuracy: 0.790, Loss: 0.236 Epoch 2 Batch 752/1077 - Train Accuracy: 0.808, Validation Accuracy: 0.798, Loss: 0.233 Epoch 2 Batch 753/1077 - Train Accuracy: 0.795, Validation Accuracy: 0.795, Loss: 0.245 Epoch 2 Batch 754/1077 - Train Accuracy: 0.800, Validation Accuracy: 0.803, Loss: 0.249 Epoch 2 Batch 755/1077 - Train Accuracy: 0.761, Validation Accuracy: 0.789, Loss: 0.259 Epoch 2 Batch 756/1077 - Train Accuracy: 0.786, Validation Accuracy: 0.784, Loss: 0.241 Epoch 2 Batch 757/1077 - Train Accuracy: 0.779, Validation Accuracy: 0.775, Loss: 0.251 Epoch 2 Batch 758/1077 - Train Accuracy: 0.823, Validation Accuracy: 0.770, Loss: 0.227 Epoch 2 Ba