train_val.txt

Overriding: eval_iters = 50Overriding: eval_iters = 50
Overriding: eval_interval = 100Overriding: eval_interval = 100
step 0: train loss 11.0252, val loss 11.0342
step 100: train loss 8.3994, val loss 8.2066
step 200: train loss 7.3136, val loss 7.1235
step 300: train loss 6.5888, val loss 6.7433
step 400: train loss 6.5067, val loss 6.4013
step 500: train loss 6.1970, val loss 6.1153
step 600: train loss 5.9715, val loss 6.0343
step 700: train loss 5.7357, val loss 5.7946
step 800: train loss 5.6244, val loss 5.7100
step 900: train loss 5.4724, val loss 5.5178
step 1000: train loss 5.4297, val loss 5.3089
step 1100: train loss 5.0414, val loss 5.2748
step 1200: train loss 4.9450, val loss 4.9600
step 1300: train loss 4.6848, val loss 4.8181
step 1400: train loss 4.5482, val loss 4.4525
step 1500: train loss 4.4756, val loss 4.3209
step 1600: train loss 4.2531, val loss 4.2776
step 1700: train loss 4.2488, val loss 4.2306
step 1800: train loss 4.0376, val loss 4.1076
step 1900: train loss 4.0463, val loss 4.0019
step 2000: train loss 3.9624, val loss 3.8664
step 2100: train loss 3.9590, val loss 3.7839
step 2200: train loss 3.9238, val loss 3.8385
step 2300: train loss 3.6838, val loss 3.7538
step 2400: train loss 3.7332, val loss 3.6593
step 2500: train loss 3.7454, val loss 3.5440
step 2600: train loss 3.5528, val loss 3.6207
step 2700: train loss 3.5916, val loss 3.6545
step 2800: train loss 3.7254, val loss 3.6136
step 2900: train loss 3.5898, val loss 3.3846
step 3000: train loss 3.5164, val loss 3.4608
step 3100: train loss 3.6373, val loss 3.5505
step 3200: train loss 3.5100, val loss 3.6281
step 3300: train loss 3.5623, val loss 3.5894
step 3400: train loss 3.4841, val loss 3.4290
step 3500: train loss 3.5908, val loss 3.4267
step 3600: train loss 3.4661, val loss 3.5482
step 3700: train loss 3.4633, val loss 3.4274
step 3800: train loss 3.4503, val loss 3.5384
step 3900: train loss 3.3948, val loss 3.3274
step 4000: train loss 3.4388, val loss 3.3746
step 4100: train loss 3.3921, val loss 3.2486
step 4200: train loss 3.4422, val loss 3.3624
step 4300: train loss 3.3533, val loss 3.2563
step 4400: train loss 3.3215, val loss 3.3935
step 4500: train loss 3.4373, val loss 3.2724
step 4600: train loss 3.2562, val loss 3.2819
step 4700: train loss 3.3209, val loss 3.2646
step 4800: train loss 3.1498, val loss 3.3252
step 4900: train loss 3.3318, val loss 3.3322
step 5000: train loss 3.1285, val loss 3.2495
step 5100: train loss 3.3448, val loss 3.1907
step 5200: train loss 3.3123, val loss 3.1915
step 5300: train loss 3.2482, val loss 3.3080
step 5400: train loss 3.0714, val loss 3.1940
step 5500: train loss 3.1294, val loss 3.2508
step 5600: train loss 3.2360, val loss 3.0566
step 5700: train loss 3.2703, val loss 3.1624
step 5800: train loss 3.3135, val loss 3.1183
step 5900: train loss 3.2142, val loss 3.1934
step 6000: train loss 3.2289, val loss 3.1825
step 6100: train loss 3.0920, val loss 3.1858
step 6200: train loss 3.2835, val loss 3.1578
step 6300: train loss 3.1277, val loss 3.1348
step 6400: train loss 3.0799, val loss 3.2929
step 6500: train loss 3.0791, val loss 3.2397
step 6600: train loss 3.2201, val loss 3.2587
step 6700: train loss 3.0092, val loss 3.2005
step 6800: train loss 3.0824, val loss 3.0970
step 6900: train loss 3.2339, val loss 3.1762
step 7000: train loss 3.1754, val loss 3.1966
step 7100: train loss 3.1720, val loss 3.1533
step 7200: train loss 3.1673, val loss 3.1003
step 7300: train loss 3.1047, val loss 3.1397
step 7400: train loss 3.1211, val loss 3.1447
step 7500: train loss 3.1564, val loss 3.0936
step 7600: train loss 3.0931, val loss 3.1315
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step 7900: train loss 3.0847, val loss 3.0954
step 8000: train loss 3.0581, val loss 3.0713
step 8100: train loss 3.1880, val loss 3.0542
step 8200: train loss 3.1568, val loss 3.0514
step 8300: train loss 3.0128, val loss 3.1295
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step 8500: train loss 3.0058, val loss 3.1052
step 8600: train loss 3.0915, val loss 2.8884
step 8700: train loss 3.1190, val loss 3.0491
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step 8900: train loss 2.9605, val loss 3.0030
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step 9100: train loss 3.1344, val loss 3.0248
step 9200: train loss 2.9525, val loss 3.0419
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step 9400: train loss 3.1642, val loss 3.0025
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step 10200: train loss 3.0273, val loss 3.0578
step 10300: train loss 2.9466, val loss 3.1119
step 10400: train loss 2.9821, val loss 2.9871
step 10500: train loss 3.0022, val loss 3.0068
step 10600: train loss 2.9527, val loss 3.0174
step 10700: train loss 3.0224, val loss 3.0772
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step 13000: train loss 2.9724, val loss 3.0502
step 13100: train loss 2.9558, val loss 2.8818
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step 14200: train loss 2.9779, val loss 2.9911
step 14300: train loss 2.9423, val loss 2.7897
step 14400: train loss 3.0338, val loss 3.0204
step 14500: train loss 2.8680, val loss 2.8760
step 14600: train loss 3.0093, val loss 2.8034
step 14700: train loss 2.9222, val loss 2.8466
step 14800: train loss 2.7877, val loss 2.8845
step 14900: train loss 2.9715, val loss 3.0005
step 15000: train loss 3.0018, val loss 3.0310
step 15100: train loss 2.9654, val loss 2.9176
step 15200: train loss 2.9580, val loss 2.9125
step 15300: train loss 3.0046, val loss 2.8712
step 15400: train loss 3.0046, val loss 2.9361
step 15500: train loss 2.7949, val loss 2.8170
step 15600: train loss 2.9127, val loss 2.9011
step 15700: train loss 2.9440, val loss 2.9167
step 15800: train loss 2.8596, val loss 2.8605
step 15900: train loss 2.8704, val loss 2.8725
step 16000: train loss 2.8634, val loss 3.0975
step 16100: train loss 2.9963, val loss 2.7633
step 16200: train loss 2.9618, val loss 2.9352
step 16300: train loss 2.7306, val loss 2.9384
step 16400: train loss 2.9731, val loss 2.9716
step 16500: train loss 2.8599, val loss 3.0492
step 16600: train loss 2.8712, val loss 2.9475
step 16700: train loss 2.9567, val loss 2.8846
step 16800: train loss 2.8565, val loss 3.0182
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step 17200: train loss 2.8943, val loss 2.9294
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step 17400: train loss 2.9415, val loss 2.9057
step 17500: train loss 2.8730, val loss 2.7631
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step 18500: train loss 2.8491, val loss 2.8545
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step 18800: train loss 3.0498, val loss 2.7461
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step 19100: train loss 2.6789, val loss 2.9049
step 19200: train loss 2.8974, val loss 2.8892
step 19300: train loss 2.8448, val loss 2.9557
step 19400: train loss 2.8466, val loss 2.9635
step 19500: train loss 2.8872, val loss 2.8272
step 19600: train loss 2.7967, val loss 3.0509
step 19700: train loss 2.8516, val loss 2.7520
step 19800: train loss 3.0064, val loss 2.8897
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step 43000: train loss 2.7065, val loss 2.5963
step 43100: train loss 2.8072, val loss 2.7424
step 43200: train loss 2.6797, val loss 2.7166
step 43300: train loss 2.6579, val loss 2.7534
step 43400: train loss 2.8590, val loss 2.8177
step 43500: train loss 2.7240, val loss 2.8758
step 43600: train loss 2.8024, val loss 2.7224
step 43700: train loss 2.8347, val loss 2.7132
step 43800: train loss 2.8055, val loss 2.6904
step 43900: train loss 2.7516, val loss 2.7553
step 44000: train loss 2.7896, val loss 2.7832
step 44100: train loss 2.8472, val loss 2.7570
step 44200: train loss 2.6282, val loss 2.6458
step 44300: train loss 2.7891, val loss 2.6897
step 44400: train loss 2.8262, val loss 2.7445
step 44500: train loss 2.7764, val loss 2.7653
step 44600: train loss 2.8129, val loss 2.7805
step 44700: train loss 2.8649, val loss 2.8448
step 44800: train loss 2.6760, val loss 2.7656
step 44900: train loss 2.7011, val loss 2.7474
step 45000: train loss 2.7879, val loss 2.6947
step 45100: train loss 2.9080, val loss 2.7905
step 45200: train loss 2.7495, val loss 2.7055
step 45300: train loss 2.6580, val loss 2.8663
step 45400: train loss 2.8094, val loss 2.8226
step 45500: train loss 2.7298, val loss 2.8190
step 45600: train loss 2.7434, val loss 2.6559
step 45700: train loss 2.8474, val loss 2.7221
step 45800: train loss 2.8787, val loss 2.8628
step 45900: train loss 2.7202, val loss 2.6398
step 46000: train loss 2.8298, val loss 2.8447
step 46100: train loss 2.6955, val loss 2.8386
step 46200: train loss 2.7849, val loss 2.6825
step 46300: train loss 2.8191, val loss 2.7793
step 46400: train loss 2.7815, val loss 2.7403
step 46500: train loss 2.8007, val loss 2.7719
step 46600: train loss 2.6661, val loss 2.8360
step 46700: train loss 2.8279, val loss 2.7529
step 46800: train loss 2.8326, val loss 2.7180
step 46900: train loss 2.7323, val loss 2.8723
step 47000: train loss 2.7846, val loss 2.7797
step 47100: train loss 2.7533, val loss 2.7694
step 47200: train loss 2.8556, val loss 2.7418
step 47300: train loss 2.7036, val loss 2.7377
step 47400: train loss 2.7860, val loss 2.8879
step 47500: train loss 2.7223, val loss 2.8096
step 47600: train loss 2.7241, val loss 2.9097
step 47700: train loss 2.6891, val loss 2.8653
step 47800: train loss 2.7393, val loss 2.7434
step 47900: train loss 2.8288, val loss 2.6818
step 48000: train loss 2.7092, val loss 2.7769