|
{ |
|
"best_metric": 0.9681742043551089, |
|
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-biopsy/checkpoint-1596", |
|
"epoch": 50.0, |
|
"eval_steps": 500, |
|
"global_step": 2100, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.23809523809523808, |
|
"grad_norm": 1.7908698320388794, |
|
"learning_rate": 2.3809523809523808e-06, |
|
"loss": 1.3741, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.47619047619047616, |
|
"grad_norm": 1.7948147058486938, |
|
"learning_rate": 4.7619047619047615e-06, |
|
"loss": 1.3269, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.7142857142857143, |
|
"grad_norm": 1.6937719583511353, |
|
"learning_rate": 7.142857142857143e-06, |
|
"loss": 1.2328, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.9523809523809523, |
|
"grad_norm": 0.9957559108734131, |
|
"learning_rate": 9.523809523809523e-06, |
|
"loss": 1.1332, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5494137353433836, |
|
"eval_loss": 1.071189522743225, |
|
"eval_runtime": 102.6887, |
|
"eval_samples_per_second": 5.814, |
|
"eval_steps_per_second": 0.185, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 1.1904761904761905, |
|
"grad_norm": 0.9576915502548218, |
|
"learning_rate": 1.1904761904761905e-05, |
|
"loss": 1.0191, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 1.4285714285714286, |
|
"grad_norm": 1.0786559581756592, |
|
"learning_rate": 1.4285714285714285e-05, |
|
"loss": 0.9104, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 1.6666666666666665, |
|
"grad_norm": 1.0609694719314575, |
|
"learning_rate": 1.6666666666666667e-05, |
|
"loss": 0.7667, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 1.9047619047619047, |
|
"grad_norm": 1.6637555360794067, |
|
"learning_rate": 1.9047619047619046e-05, |
|
"loss": 0.6556, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8492462311557789, |
|
"eval_loss": 0.5741624236106873, |
|
"eval_runtime": 102.8217, |
|
"eval_samples_per_second": 5.806, |
|
"eval_steps_per_second": 0.185, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 2.142857142857143, |
|
"grad_norm": 2.9285330772399902, |
|
"learning_rate": 2.1428571428571428e-05, |
|
"loss": 0.5688, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 2.380952380952381, |
|
"grad_norm": 1.4198558330535889, |
|
"learning_rate": 2.380952380952381e-05, |
|
"loss": 0.4944, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 2.619047619047619, |
|
"grad_norm": 1.1169885396957397, |
|
"learning_rate": 2.6190476190476192e-05, |
|
"loss": 0.4229, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 2.857142857142857, |
|
"grad_norm": 1.9193533658981323, |
|
"learning_rate": 2.857142857142857e-05, |
|
"loss": 0.3987, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8894472361809045, |
|
"eval_loss": 0.3950396776199341, |
|
"eval_runtime": 102.779, |
|
"eval_samples_per_second": 5.809, |
|
"eval_steps_per_second": 0.185, |
|
"step": 126 |
|
}, |
|
{ |
|
"epoch": 3.0952380952380953, |
|
"grad_norm": 4.524629592895508, |
|
"learning_rate": 3.095238095238095e-05, |
|
"loss": 0.3845, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 3.3333333333333335, |
|
"grad_norm": 2.838951587677002, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 0.3616, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 3.571428571428571, |
|
"grad_norm": 2.4979946613311768, |
|
"learning_rate": 3.571428571428572e-05, |
|
"loss": 0.3479, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 3.8095238095238093, |
|
"grad_norm": 4.321163177490234, |
|
"learning_rate": 3.809523809523809e-05, |
|
"loss": 0.2825, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8777219430485762, |
|
"eval_loss": 0.39236369729042053, |
|
"eval_runtime": 102.4215, |
|
"eval_samples_per_second": 5.829, |
|
"eval_steps_per_second": 0.186, |
|
"step": 168 |
|
}, |
|
{ |
|
"epoch": 4.0476190476190474, |
|
"grad_norm": 2.3643758296966553, |
|
"learning_rate": 4.047619047619048e-05, |
|
"loss": 0.3009, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 4.285714285714286, |
|
"grad_norm": 6.605370998382568, |
|
"learning_rate": 4.2857142857142856e-05, |
|
"loss": 0.3091, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 4.523809523809524, |
|
"grad_norm": 4.201854228973389, |
|
"learning_rate": 4.523809523809524e-05, |
|
"loss": 0.277, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 4.761904761904762, |
|
"grad_norm": 1.754778265953064, |
|
"learning_rate": 4.761904761904762e-05, |
|
"loss": 0.2548, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 3.1804463863372803, |
|
"learning_rate": 5e-05, |
|
"loss": 0.3662, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.8860971524288107, |
|
"eval_loss": 0.36218151450157166, |
|
"eval_runtime": 101.769, |
|
"eval_samples_per_second": 5.866, |
|
"eval_steps_per_second": 0.187, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 5.238095238095238, |
|
"grad_norm": 1.8210253715515137, |
|
"learning_rate": 4.973544973544973e-05, |
|
"loss": 0.3025, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 5.476190476190476, |
|
"grad_norm": 2.0568735599517822, |
|
"learning_rate": 4.9470899470899475e-05, |
|
"loss": 0.2431, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 5.714285714285714, |
|
"grad_norm": 5.020086765289307, |
|
"learning_rate": 4.9206349206349204e-05, |
|
"loss": 0.2462, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 5.9523809523809526, |
|
"grad_norm": 2.455803632736206, |
|
"learning_rate": 4.894179894179895e-05, |
|
"loss": 0.2218, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.9246231155778895, |
|
"eval_loss": 0.2705938518047333, |
|
"eval_runtime": 102.0179, |
|
"eval_samples_per_second": 5.852, |
|
"eval_steps_per_second": 0.186, |
|
"step": 252 |
|
}, |
|
{ |
|
"epoch": 6.190476190476191, |
|
"grad_norm": 1.1127841472625732, |
|
"learning_rate": 4.8677248677248676e-05, |
|
"loss": 0.2424, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 6.428571428571429, |
|
"grad_norm": 5.003824234008789, |
|
"learning_rate": 4.841269841269841e-05, |
|
"loss": 0.2726, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 6.666666666666667, |
|
"grad_norm": 1.7662922143936157, |
|
"learning_rate": 4.814814814814815e-05, |
|
"loss": 0.2482, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 6.904761904761905, |
|
"grad_norm": 4.009079933166504, |
|
"learning_rate": 4.7883597883597884e-05, |
|
"loss": 0.2236, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.9346733668341709, |
|
"eval_loss": 0.2283419966697693, |
|
"eval_runtime": 101.6184, |
|
"eval_samples_per_second": 5.875, |
|
"eval_steps_per_second": 0.187, |
|
"step": 294 |
|
}, |
|
{ |
|
"epoch": 7.142857142857143, |
|
"grad_norm": 1.4519894123077393, |
|
"learning_rate": 4.761904761904762e-05, |
|
"loss": 0.2111, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 7.380952380952381, |
|
"grad_norm": 2.688704490661621, |
|
"learning_rate": 4.7354497354497356e-05, |
|
"loss": 0.2187, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 7.619047619047619, |
|
"grad_norm": 2.2603533267974854, |
|
"learning_rate": 4.708994708994709e-05, |
|
"loss": 0.1934, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 7.857142857142857, |
|
"grad_norm": 2.341301679611206, |
|
"learning_rate": 4.682539682539683e-05, |
|
"loss": 0.2224, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.931323283082077, |
|
"eval_loss": 0.23672878742218018, |
|
"eval_runtime": 100.0543, |
|
"eval_samples_per_second": 5.967, |
|
"eval_steps_per_second": 0.19, |
|
"step": 336 |
|
}, |
|
{ |
|
"epoch": 8.095238095238095, |
|
"grad_norm": 1.5976060628890991, |
|
"learning_rate": 4.656084656084656e-05, |
|
"loss": 0.1954, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 8.333333333333334, |
|
"grad_norm": 1.360371708869934, |
|
"learning_rate": 4.62962962962963e-05, |
|
"loss": 0.1607, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 8.571428571428571, |
|
"grad_norm": 1.7058426141738892, |
|
"learning_rate": 4.603174603174603e-05, |
|
"loss": 0.1804, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 8.80952380952381, |
|
"grad_norm": 2.388390302658081, |
|
"learning_rate": 4.576719576719577e-05, |
|
"loss": 0.1754, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.9296482412060302, |
|
"eval_loss": 0.21387061476707458, |
|
"eval_runtime": 101.5101, |
|
"eval_samples_per_second": 5.881, |
|
"eval_steps_per_second": 0.187, |
|
"step": 378 |
|
}, |
|
{ |
|
"epoch": 9.047619047619047, |
|
"grad_norm": 2.2065589427948, |
|
"learning_rate": 4.55026455026455e-05, |
|
"loss": 0.1695, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 9.285714285714286, |
|
"grad_norm": 1.8705061674118042, |
|
"learning_rate": 4.523809523809524e-05, |
|
"loss": 0.1655, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 9.523809523809524, |
|
"grad_norm": 1.9261928796768188, |
|
"learning_rate": 4.4973544973544974e-05, |
|
"loss": 0.1584, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 9.761904761904763, |
|
"grad_norm": 2.372283697128296, |
|
"learning_rate": 4.470899470899471e-05, |
|
"loss": 0.1711, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"grad_norm": 2.0945327281951904, |
|
"learning_rate": 4.4444444444444447e-05, |
|
"loss": 0.1707, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.949748743718593, |
|
"eval_loss": 0.18289239704608917, |
|
"eval_runtime": 100.379, |
|
"eval_samples_per_second": 5.947, |
|
"eval_steps_per_second": 0.189, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 10.238095238095237, |
|
"grad_norm": 2.2974770069122314, |
|
"learning_rate": 4.417989417989418e-05, |
|
"loss": 0.1446, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 10.476190476190476, |
|
"grad_norm": 3.294903039932251, |
|
"learning_rate": 4.391534391534391e-05, |
|
"loss": 0.1848, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 10.714285714285714, |
|
"grad_norm": 2.059147834777832, |
|
"learning_rate": 4.3650793650793655e-05, |
|
"loss": 0.1923, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 10.952380952380953, |
|
"grad_norm": 1.4008002281188965, |
|
"learning_rate": 4.3386243386243384e-05, |
|
"loss": 0.1619, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.9463986599664992, |
|
"eval_loss": 0.21719853579998016, |
|
"eval_runtime": 100.686, |
|
"eval_samples_per_second": 5.929, |
|
"eval_steps_per_second": 0.189, |
|
"step": 462 |
|
}, |
|
{ |
|
"epoch": 11.19047619047619, |
|
"grad_norm": 3.9857630729675293, |
|
"learning_rate": 4.312169312169313e-05, |
|
"loss": 0.1479, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 11.428571428571429, |
|
"grad_norm": 1.8493316173553467, |
|
"learning_rate": 4.2857142857142856e-05, |
|
"loss": 0.1399, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 11.666666666666666, |
|
"grad_norm": 3.7601022720336914, |
|
"learning_rate": 4.259259259259259e-05, |
|
"loss": 0.1693, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 11.904761904761905, |
|
"grad_norm": 2.0924296379089355, |
|
"learning_rate": 4.232804232804233e-05, |
|
"loss": 0.1547, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.9380234505862647, |
|
"eval_loss": 0.19601453840732574, |
|
"eval_runtime": 100.959, |
|
"eval_samples_per_second": 5.913, |
|
"eval_steps_per_second": 0.188, |
|
"step": 504 |
|
}, |
|
{ |
|
"epoch": 12.142857142857142, |
|
"grad_norm": 0.876983106136322, |
|
"learning_rate": 4.2063492063492065e-05, |
|
"loss": 0.1467, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 12.380952380952381, |
|
"grad_norm": 1.4364930391311646, |
|
"learning_rate": 4.17989417989418e-05, |
|
"loss": 0.1293, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 12.619047619047619, |
|
"grad_norm": 2.0503087043762207, |
|
"learning_rate": 4.153439153439154e-05, |
|
"loss": 0.123, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 12.857142857142858, |
|
"grad_norm": 4.358797550201416, |
|
"learning_rate": 4.126984126984127e-05, |
|
"loss": 0.1213, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.9581239530988275, |
|
"eval_loss": 0.14836081862449646, |
|
"eval_runtime": 100.2262, |
|
"eval_samples_per_second": 5.957, |
|
"eval_steps_per_second": 0.19, |
|
"step": 546 |
|
}, |
|
{ |
|
"epoch": 13.095238095238095, |
|
"grad_norm": 5.3521199226379395, |
|
"learning_rate": 4.100529100529101e-05, |
|
"loss": 0.1213, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 13.333333333333334, |
|
"grad_norm": 1.1555789709091187, |
|
"learning_rate": 4.074074074074074e-05, |
|
"loss": 0.1353, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 13.571428571428571, |
|
"grad_norm": 2.3314497470855713, |
|
"learning_rate": 4.047619047619048e-05, |
|
"loss": 0.1392, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 13.80952380952381, |
|
"grad_norm": 2.4166135787963867, |
|
"learning_rate": 4.021164021164021e-05, |
|
"loss": 0.1388, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_accuracy": 0.9581239530988275, |
|
"eval_loss": 0.16891160607337952, |
|
"eval_runtime": 101.124, |
|
"eval_samples_per_second": 5.904, |
|
"eval_steps_per_second": 0.188, |
|
"step": 588 |
|
}, |
|
{ |
|
"epoch": 14.047619047619047, |
|
"grad_norm": 1.2457020282745361, |
|
"learning_rate": 3.9947089947089946e-05, |
|
"loss": 0.1075, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 14.285714285714286, |
|
"grad_norm": 1.428454041481018, |
|
"learning_rate": 3.968253968253968e-05, |
|
"loss": 0.1149, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 14.523809523809524, |
|
"grad_norm": 1.9853533506393433, |
|
"learning_rate": 3.941798941798942e-05, |
|
"loss": 0.1232, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 14.761904761904763, |
|
"grad_norm": 2.842386484146118, |
|
"learning_rate": 3.9153439153439155e-05, |
|
"loss": 0.1123, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"grad_norm": 1.4970998764038086, |
|
"learning_rate": 3.888888888888889e-05, |
|
"loss": 0.1009, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy": 0.9581239530988275, |
|
"eval_loss": 0.1493997424840927, |
|
"eval_runtime": 103.3785, |
|
"eval_samples_per_second": 5.775, |
|
"eval_steps_per_second": 0.184, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 15.238095238095237, |
|
"grad_norm": 2.815284490585327, |
|
"learning_rate": 3.862433862433863e-05, |
|
"loss": 0.1301, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 15.476190476190476, |
|
"grad_norm": 2.5713961124420166, |
|
"learning_rate": 3.835978835978836e-05, |
|
"loss": 0.0979, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 15.714285714285714, |
|
"grad_norm": 1.771735668182373, |
|
"learning_rate": 3.809523809523809e-05, |
|
"loss": 0.12, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 15.952380952380953, |
|
"grad_norm": 2.1721739768981934, |
|
"learning_rate": 3.7830687830687835e-05, |
|
"loss": 0.124, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.9581239530988275, |
|
"eval_loss": 0.15640056133270264, |
|
"eval_runtime": 101.1931, |
|
"eval_samples_per_second": 5.9, |
|
"eval_steps_per_second": 0.188, |
|
"step": 672 |
|
}, |
|
{ |
|
"epoch": 16.19047619047619, |
|
"grad_norm": 3.04827880859375, |
|
"learning_rate": 3.7566137566137564e-05, |
|
"loss": 0.1047, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 16.428571428571427, |
|
"grad_norm": 1.7996746301651, |
|
"learning_rate": 3.730158730158731e-05, |
|
"loss": 0.0987, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 16.666666666666668, |
|
"grad_norm": 2.0100674629211426, |
|
"learning_rate": 3.7037037037037037e-05, |
|
"loss": 0.1132, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 16.904761904761905, |
|
"grad_norm": 3.321587562561035, |
|
"learning_rate": 3.677248677248677e-05, |
|
"loss": 0.1078, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 17.0, |
|
"eval_accuracy": 0.9514237855946399, |
|
"eval_loss": 0.17282074689865112, |
|
"eval_runtime": 103.2232, |
|
"eval_samples_per_second": 5.784, |
|
"eval_steps_per_second": 0.184, |
|
"step": 714 |
|
}, |
|
{ |
|
"epoch": 17.142857142857142, |
|
"grad_norm": 1.6693847179412842, |
|
"learning_rate": 3.650793650793651e-05, |
|
"loss": 0.0762, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 17.38095238095238, |
|
"grad_norm": 1.9719501733779907, |
|
"learning_rate": 3.6243386243386245e-05, |
|
"loss": 0.0961, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 17.61904761904762, |
|
"grad_norm": 1.4737845659255981, |
|
"learning_rate": 3.597883597883598e-05, |
|
"loss": 0.0777, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 17.857142857142858, |
|
"grad_norm": 5.473972797393799, |
|
"learning_rate": 3.571428571428572e-05, |
|
"loss": 0.102, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 18.0, |
|
"eval_accuracy": 0.9447236180904522, |
|
"eval_loss": 0.16686658561229706, |
|
"eval_runtime": 100.8047, |
|
"eval_samples_per_second": 5.922, |
|
"eval_steps_per_second": 0.188, |
|
"step": 756 |
|
}, |
|
{ |
|
"epoch": 18.095238095238095, |
|
"grad_norm": 2.001469612121582, |
|
"learning_rate": 3.5449735449735446e-05, |
|
"loss": 0.0987, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 18.333333333333332, |
|
"grad_norm": 1.7356058359146118, |
|
"learning_rate": 3.518518518518519e-05, |
|
"loss": 0.0933, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 18.571428571428573, |
|
"grad_norm": 2.967357635498047, |
|
"learning_rate": 3.492063492063492e-05, |
|
"loss": 0.122, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 18.80952380952381, |
|
"grad_norm": 1.3743668794631958, |
|
"learning_rate": 3.465608465608466e-05, |
|
"loss": 0.1006, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 19.0, |
|
"eval_accuracy": 0.9581239530988275, |
|
"eval_loss": 0.1404878944158554, |
|
"eval_runtime": 101.9768, |
|
"eval_samples_per_second": 5.854, |
|
"eval_steps_per_second": 0.186, |
|
"step": 798 |
|
}, |
|
{ |
|
"epoch": 19.047619047619047, |
|
"grad_norm": 1.777043342590332, |
|
"learning_rate": 3.439153439153439e-05, |
|
"loss": 0.0782, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 19.285714285714285, |
|
"grad_norm": 0.9696865677833557, |
|
"learning_rate": 3.412698412698413e-05, |
|
"loss": 0.08, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 19.523809523809526, |
|
"grad_norm": 2.0073580741882324, |
|
"learning_rate": 3.386243386243386e-05, |
|
"loss": 0.095, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 19.761904761904763, |
|
"grad_norm": 2.404144048690796, |
|
"learning_rate": 3.35978835978836e-05, |
|
"loss": 0.116, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"grad_norm": 0.8298864960670471, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 0.0791, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy": 0.966499162479062, |
|
"eval_loss": 0.11790105700492859, |
|
"eval_runtime": 102.1963, |
|
"eval_samples_per_second": 5.842, |
|
"eval_steps_per_second": 0.186, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 20.238095238095237, |
|
"grad_norm": 1.1204876899719238, |
|
"learning_rate": 3.306878306878307e-05, |
|
"loss": 0.0827, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 20.476190476190474, |
|
"grad_norm": 1.7101030349731445, |
|
"learning_rate": 3.280423280423281e-05, |
|
"loss": 0.0809, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 20.714285714285715, |
|
"grad_norm": 1.100553035736084, |
|
"learning_rate": 3.253968253968254e-05, |
|
"loss": 0.0768, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 20.952380952380953, |
|
"grad_norm": 1.7138772010803223, |
|
"learning_rate": 3.227513227513227e-05, |
|
"loss": 0.0694, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 21.0, |
|
"eval_accuracy": 0.9631490787269682, |
|
"eval_loss": 0.14235423505306244, |
|
"eval_runtime": 100.0469, |
|
"eval_samples_per_second": 5.967, |
|
"eval_steps_per_second": 0.19, |
|
"step": 882 |
|
}, |
|
{ |
|
"epoch": 21.19047619047619, |
|
"grad_norm": 2.3028171062469482, |
|
"learning_rate": 3.2010582010582015e-05, |
|
"loss": 0.0691, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 21.428571428571427, |
|
"grad_norm": 1.7097909450531006, |
|
"learning_rate": 3.1746031746031745e-05, |
|
"loss": 0.0748, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 21.666666666666668, |
|
"grad_norm": 1.1676493883132935, |
|
"learning_rate": 3.148148148148148e-05, |
|
"loss": 0.0991, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 21.904761904761905, |
|
"grad_norm": 1.6388928890228271, |
|
"learning_rate": 3.121693121693122e-05, |
|
"loss": 0.0627, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 22.0, |
|
"eval_accuracy": 0.966499162479062, |
|
"eval_loss": 0.12243743985891342, |
|
"eval_runtime": 101.3465, |
|
"eval_samples_per_second": 5.891, |
|
"eval_steps_per_second": 0.187, |
|
"step": 924 |
|
}, |
|
{ |
|
"epoch": 22.142857142857142, |
|
"grad_norm": 6.947789192199707, |
|
"learning_rate": 3.095238095238095e-05, |
|
"loss": 0.0952, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 22.38095238095238, |
|
"grad_norm": 2.1520142555236816, |
|
"learning_rate": 3.068783068783069e-05, |
|
"loss": 0.0697, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 22.61904761904762, |
|
"grad_norm": 2.1891136169433594, |
|
"learning_rate": 3.0423280423280425e-05, |
|
"loss": 0.0727, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 22.857142857142858, |
|
"grad_norm": 1.557528018951416, |
|
"learning_rate": 3.0158730158730158e-05, |
|
"loss": 0.0883, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 23.0, |
|
"eval_accuracy": 0.9447236180904522, |
|
"eval_loss": 0.16018958389759064, |
|
"eval_runtime": 101.009, |
|
"eval_samples_per_second": 5.91, |
|
"eval_steps_per_second": 0.188, |
|
"step": 966 |
|
}, |
|
{ |
|
"epoch": 23.095238095238095, |
|
"grad_norm": 0.4970981478691101, |
|
"learning_rate": 2.9894179894179897e-05, |
|
"loss": 0.0727, |
|
"step": 970 |
|
}, |
|
{ |
|
"epoch": 23.333333333333332, |
|
"grad_norm": 0.9330291748046875, |
|
"learning_rate": 2.962962962962963e-05, |
|
"loss": 0.0776, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 23.571428571428573, |
|
"grad_norm": 0.5385302305221558, |
|
"learning_rate": 2.9365079365079366e-05, |
|
"loss": 0.068, |
|
"step": 990 |
|
}, |
|
{ |
|
"epoch": 23.80952380952381, |
|
"grad_norm": 1.3941255807876587, |
|
"learning_rate": 2.91005291005291e-05, |
|
"loss": 0.074, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"eval_accuracy": 0.9614740368509213, |
|
"eval_loss": 0.13146798312664032, |
|
"eval_runtime": 101.4893, |
|
"eval_samples_per_second": 5.882, |
|
"eval_steps_per_second": 0.187, |
|
"step": 1008 |
|
}, |
|
{ |
|
"epoch": 24.047619047619047, |
|
"grad_norm": 1.8402540683746338, |
|
"learning_rate": 2.8835978835978838e-05, |
|
"loss": 0.0529, |
|
"step": 1010 |
|
}, |
|
{ |
|
"epoch": 24.285714285714285, |
|
"grad_norm": 1.1238616704940796, |
|
"learning_rate": 2.857142857142857e-05, |
|
"loss": 0.0645, |
|
"step": 1020 |
|
}, |
|
{ |
|
"epoch": 24.523809523809526, |
|
"grad_norm": 2.4385814666748047, |
|
"learning_rate": 2.830687830687831e-05, |
|
"loss": 0.0891, |
|
"step": 1030 |
|
}, |
|
{ |
|
"epoch": 24.761904761904763, |
|
"grad_norm": 0.7520690560340881, |
|
"learning_rate": 2.8042328042328043e-05, |
|
"loss": 0.0856, |
|
"step": 1040 |
|
}, |
|
{ |
|
"epoch": 25.0, |
|
"grad_norm": 1.3286396265029907, |
|
"learning_rate": 2.777777777777778e-05, |
|
"loss": 0.0708, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 25.0, |
|
"eval_accuracy": 0.9631490787269682, |
|
"eval_loss": 0.1330818086862564, |
|
"eval_runtime": 101.2634, |
|
"eval_samples_per_second": 5.896, |
|
"eval_steps_per_second": 0.188, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 25.238095238095237, |
|
"grad_norm": 1.7304377555847168, |
|
"learning_rate": 2.7513227513227512e-05, |
|
"loss": 0.0685, |
|
"step": 1060 |
|
}, |
|
{ |
|
"epoch": 25.476190476190474, |
|
"grad_norm": 3.330090284347534, |
|
"learning_rate": 2.724867724867725e-05, |
|
"loss": 0.0664, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 25.714285714285715, |
|
"grad_norm": 0.801770806312561, |
|
"learning_rate": 2.6984126984126984e-05, |
|
"loss": 0.0641, |
|
"step": 1080 |
|
}, |
|
{ |
|
"epoch": 25.952380952380953, |
|
"grad_norm": 1.6211001873016357, |
|
"learning_rate": 2.6719576719576723e-05, |
|
"loss": 0.06, |
|
"step": 1090 |
|
}, |
|
{ |
|
"epoch": 26.0, |
|
"eval_accuracy": 0.966499162479062, |
|
"eval_loss": 0.11908143013715744, |
|
"eval_runtime": 100.9095, |
|
"eval_samples_per_second": 5.916, |
|
"eval_steps_per_second": 0.188, |
|
"step": 1092 |
|
}, |
|
{ |
|
"epoch": 26.19047619047619, |
|
"grad_norm": 1.944045066833496, |
|
"learning_rate": 2.6455026455026456e-05, |
|
"loss": 0.0636, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 26.428571428571427, |
|
"grad_norm": 1.0481789112091064, |
|
"learning_rate": 2.6190476190476192e-05, |
|
"loss": 0.0612, |
|
"step": 1110 |
|
}, |
|
{ |
|
"epoch": 26.666666666666668, |
|
"grad_norm": 2.2019481658935547, |
|
"learning_rate": 2.5925925925925925e-05, |
|
"loss": 0.0637, |
|
"step": 1120 |
|
}, |
|
{ |
|
"epoch": 26.904761904761905, |
|
"grad_norm": 3.6049156188964844, |
|
"learning_rate": 2.5661375661375664e-05, |
|
"loss": 0.083, |
|
"step": 1130 |
|
}, |
|
{ |
|
"epoch": 27.0, |
|
"eval_accuracy": 0.9530988274706867, |
|
"eval_loss": 0.1582762449979782, |
|
"eval_runtime": 100.0407, |
|
"eval_samples_per_second": 5.968, |
|
"eval_steps_per_second": 0.19, |
|
"step": 1134 |
|
}, |
|
{ |
|
"epoch": 27.142857142857142, |
|
"grad_norm": 2.5039260387420654, |
|
"learning_rate": 2.5396825396825397e-05, |
|
"loss": 0.0606, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 27.38095238095238, |
|
"grad_norm": 1.956338882446289, |
|
"learning_rate": 2.5132275132275137e-05, |
|
"loss": 0.077, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 27.61904761904762, |
|
"grad_norm": 1.0798221826553345, |
|
"learning_rate": 2.4867724867724866e-05, |
|
"loss": 0.0427, |
|
"step": 1160 |
|
}, |
|
{ |
|
"epoch": 27.857142857142858, |
|
"grad_norm": 3.189793348312378, |
|
"learning_rate": 2.4603174603174602e-05, |
|
"loss": 0.0584, |
|
"step": 1170 |
|
}, |
|
{ |
|
"epoch": 28.0, |
|
"eval_accuracy": 0.9564489112227805, |
|
"eval_loss": 0.13481402397155762, |
|
"eval_runtime": 100.6312, |
|
"eval_samples_per_second": 5.933, |
|
"eval_steps_per_second": 0.189, |
|
"step": 1176 |
|
}, |
|
{ |
|
"epoch": 28.095238095238095, |
|
"grad_norm": 1.0723867416381836, |
|
"learning_rate": 2.4338624338624338e-05, |
|
"loss": 0.0432, |
|
"step": 1180 |
|
}, |
|
{ |
|
"epoch": 28.333333333333332, |
|
"grad_norm": 0.41823190450668335, |
|
"learning_rate": 2.4074074074074074e-05, |
|
"loss": 0.0747, |
|
"step": 1190 |
|
}, |
|
{ |
|
"epoch": 28.571428571428573, |
|
"grad_norm": 1.465440034866333, |
|
"learning_rate": 2.380952380952381e-05, |
|
"loss": 0.0451, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 28.80952380952381, |
|
"grad_norm": 1.9235646724700928, |
|
"learning_rate": 2.3544973544973546e-05, |
|
"loss": 0.0627, |
|
"step": 1210 |
|
}, |
|
{ |
|
"epoch": 29.0, |
|
"eval_accuracy": 0.9564489112227805, |
|
"eval_loss": 0.12703652679920197, |
|
"eval_runtime": 101.0473, |
|
"eval_samples_per_second": 5.908, |
|
"eval_steps_per_second": 0.188, |
|
"step": 1218 |
|
}, |
|
{ |
|
"epoch": 29.047619047619047, |
|
"grad_norm": 1.0633718967437744, |
|
"learning_rate": 2.328042328042328e-05, |
|
"loss": 0.0453, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 29.285714285714285, |
|
"grad_norm": 1.1838030815124512, |
|
"learning_rate": 2.3015873015873015e-05, |
|
"loss": 0.0549, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 29.523809523809526, |
|
"grad_norm": 1.2892875671386719, |
|
"learning_rate": 2.275132275132275e-05, |
|
"loss": 0.0506, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 29.761904761904763, |
|
"grad_norm": 0.46934711933135986, |
|
"learning_rate": 2.2486772486772487e-05, |
|
"loss": 0.0586, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 30.0, |
|
"grad_norm": 0.5484461784362793, |
|
"learning_rate": 2.2222222222222223e-05, |
|
"loss": 0.0627, |
|
"step": 1260 |
|
}, |
|
{ |
|
"epoch": 30.0, |
|
"eval_accuracy": 0.9564489112227805, |
|
"eval_loss": 0.14105232059955597, |
|
"eval_runtime": 100.5476, |
|
"eval_samples_per_second": 5.937, |
|
"eval_steps_per_second": 0.189, |
|
"step": 1260 |
|
}, |
|
{ |
|
"epoch": 30.238095238095237, |
|
"grad_norm": 1.0722055435180664, |
|
"learning_rate": 2.1957671957671956e-05, |
|
"loss": 0.0436, |
|
"step": 1270 |
|
}, |
|
{ |
|
"epoch": 30.476190476190474, |
|
"grad_norm": 3.5860719680786133, |
|
"learning_rate": 2.1693121693121692e-05, |
|
"loss": 0.0477, |
|
"step": 1280 |
|
}, |
|
{ |
|
"epoch": 30.714285714285715, |
|
"grad_norm": 0.9268338680267334, |
|
"learning_rate": 2.1428571428571428e-05, |
|
"loss": 0.0464, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 30.952380952380953, |
|
"grad_norm": 0.41101688146591187, |
|
"learning_rate": 2.1164021164021164e-05, |
|
"loss": 0.038, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 31.0, |
|
"eval_accuracy": 0.966499162479062, |
|
"eval_loss": 0.12079473584890366, |
|
"eval_runtime": 101.8569, |
|
"eval_samples_per_second": 5.861, |
|
"eval_steps_per_second": 0.187, |
|
"step": 1302 |
|
}, |
|
{ |
|
"epoch": 31.19047619047619, |
|
"grad_norm": 1.7808339595794678, |
|
"learning_rate": 2.08994708994709e-05, |
|
"loss": 0.0485, |
|
"step": 1310 |
|
}, |
|
{ |
|
"epoch": 31.428571428571427, |
|
"grad_norm": 2.029599666595459, |
|
"learning_rate": 2.0634920634920636e-05, |
|
"loss": 0.0391, |
|
"step": 1320 |
|
}, |
|
{ |
|
"epoch": 31.666666666666668, |
|
"grad_norm": 0.1751292645931244, |
|
"learning_rate": 2.037037037037037e-05, |
|
"loss": 0.0393, |
|
"step": 1330 |
|
}, |
|
{ |
|
"epoch": 31.904761904761905, |
|
"grad_norm": 1.3681291341781616, |
|
"learning_rate": 2.0105820105820105e-05, |
|
"loss": 0.0569, |
|
"step": 1340 |
|
}, |
|
{ |
|
"epoch": 32.0, |
|
"eval_accuracy": 0.9514237855946399, |
|
"eval_loss": 0.15873192250728607, |
|
"eval_runtime": 101.2347, |
|
"eval_samples_per_second": 5.897, |
|
"eval_steps_per_second": 0.188, |
|
"step": 1344 |
|
}, |
|
{ |
|
"epoch": 32.142857142857146, |
|
"grad_norm": 1.053713321685791, |
|
"learning_rate": 1.984126984126984e-05, |
|
"loss": 0.0385, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 32.38095238095238, |
|
"grad_norm": 1.0178366899490356, |
|
"learning_rate": 1.9576719576719577e-05, |
|
"loss": 0.0561, |
|
"step": 1360 |
|
}, |
|
{ |
|
"epoch": 32.61904761904762, |
|
"grad_norm": 1.472675085067749, |
|
"learning_rate": 1.9312169312169313e-05, |
|
"loss": 0.0434, |
|
"step": 1370 |
|
}, |
|
{ |
|
"epoch": 32.857142857142854, |
|
"grad_norm": 1.232201099395752, |
|
"learning_rate": 1.9047619047619046e-05, |
|
"loss": 0.0502, |
|
"step": 1380 |
|
}, |
|
{ |
|
"epoch": 33.0, |
|
"eval_accuracy": 0.949748743718593, |
|
"eval_loss": 0.1500607430934906, |
|
"eval_runtime": 102.5738, |
|
"eval_samples_per_second": 5.82, |
|
"eval_steps_per_second": 0.185, |
|
"step": 1386 |
|
}, |
|
{ |
|
"epoch": 33.095238095238095, |
|
"grad_norm": 4.194485664367676, |
|
"learning_rate": 1.8783068783068782e-05, |
|
"loss": 0.0589, |
|
"step": 1390 |
|
}, |
|
{ |
|
"epoch": 33.333333333333336, |
|
"grad_norm": 0.24997162818908691, |
|
"learning_rate": 1.8518518518518518e-05, |
|
"loss": 0.0389, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 33.57142857142857, |
|
"grad_norm": 1.9876259565353394, |
|
"learning_rate": 1.8253968253968254e-05, |
|
"loss": 0.039, |
|
"step": 1410 |
|
}, |
|
{ |
|
"epoch": 33.80952380952381, |
|
"grad_norm": 1.257222056388855, |
|
"learning_rate": 1.798941798941799e-05, |
|
"loss": 0.0464, |
|
"step": 1420 |
|
}, |
|
{ |
|
"epoch": 34.0, |
|
"eval_accuracy": 0.9614740368509213, |
|
"eval_loss": 0.15079863369464874, |
|
"eval_runtime": 103.3413, |
|
"eval_samples_per_second": 5.777, |
|
"eval_steps_per_second": 0.184, |
|
"step": 1428 |
|
}, |
|
{ |
|
"epoch": 34.04761904761905, |
|
"grad_norm": 1.1036677360534668, |
|
"learning_rate": 1.7724867724867723e-05, |
|
"loss": 0.0542, |
|
"step": 1430 |
|
}, |
|
{ |
|
"epoch": 34.285714285714285, |
|
"grad_norm": 1.4602792263031006, |
|
"learning_rate": 1.746031746031746e-05, |
|
"loss": 0.0599, |
|
"step": 1440 |
|
}, |
|
{ |
|
"epoch": 34.523809523809526, |
|
"grad_norm": 1.127734899520874, |
|
"learning_rate": 1.7195767195767195e-05, |
|
"loss": 0.0456, |
|
"step": 1450 |
|
}, |
|
{ |
|
"epoch": 34.76190476190476, |
|
"grad_norm": 2.489420175552368, |
|
"learning_rate": 1.693121693121693e-05, |
|
"loss": 0.034, |
|
"step": 1460 |
|
}, |
|
{ |
|
"epoch": 35.0, |
|
"grad_norm": 1.582891821861267, |
|
"learning_rate": 1.6666666666666667e-05, |
|
"loss": 0.0317, |
|
"step": 1470 |
|
}, |
|
{ |
|
"epoch": 35.0, |
|
"eval_accuracy": 0.9631490787269682, |
|
"eval_loss": 0.13086940348148346, |
|
"eval_runtime": 102.9849, |
|
"eval_samples_per_second": 5.797, |
|
"eval_steps_per_second": 0.184, |
|
"step": 1470 |
|
}, |
|
{ |
|
"epoch": 35.23809523809524, |
|
"grad_norm": 1.932721495628357, |
|
"learning_rate": 1.6402116402116404e-05, |
|
"loss": 0.0387, |
|
"step": 1480 |
|
}, |
|
{ |
|
"epoch": 35.476190476190474, |
|
"grad_norm": 3.2499399185180664, |
|
"learning_rate": 1.6137566137566136e-05, |
|
"loss": 0.0556, |
|
"step": 1490 |
|
}, |
|
{ |
|
"epoch": 35.714285714285715, |
|
"grad_norm": 1.335181713104248, |
|
"learning_rate": 1.5873015873015872e-05, |
|
"loss": 0.0514, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 35.95238095238095, |
|
"grad_norm": 0.5096970200538635, |
|
"learning_rate": 1.560846560846561e-05, |
|
"loss": 0.0552, |
|
"step": 1510 |
|
}, |
|
{ |
|
"epoch": 36.0, |
|
"eval_accuracy": 0.9597989949748744, |
|
"eval_loss": 0.13715249300003052, |
|
"eval_runtime": 101.916, |
|
"eval_samples_per_second": 5.858, |
|
"eval_steps_per_second": 0.186, |
|
"step": 1512 |
|
}, |
|
{ |
|
"epoch": 36.19047619047619, |
|
"grad_norm": 0.6248478293418884, |
|
"learning_rate": 1.5343915343915344e-05, |
|
"loss": 0.0634, |
|
"step": 1520 |
|
}, |
|
{ |
|
"epoch": 36.42857142857143, |
|
"grad_norm": 0.9641430377960205, |
|
"learning_rate": 1.5079365079365079e-05, |
|
"loss": 0.0369, |
|
"step": 1530 |
|
}, |
|
{ |
|
"epoch": 36.666666666666664, |
|
"grad_norm": 0.7052914500236511, |
|
"learning_rate": 1.4814814814814815e-05, |
|
"loss": 0.0429, |
|
"step": 1540 |
|
}, |
|
{ |
|
"epoch": 36.904761904761905, |
|
"grad_norm": 0.45987239480018616, |
|
"learning_rate": 1.455026455026455e-05, |
|
"loss": 0.031, |
|
"step": 1550 |
|
}, |
|
{ |
|
"epoch": 37.0, |
|
"eval_accuracy": 0.9597989949748744, |
|
"eval_loss": 0.12577290832996368, |
|
"eval_runtime": 102.0267, |
|
"eval_samples_per_second": 5.851, |
|
"eval_steps_per_second": 0.186, |
|
"step": 1554 |
|
}, |
|
{ |
|
"epoch": 37.142857142857146, |
|
"grad_norm": 1.7245473861694336, |
|
"learning_rate": 1.4285714285714285e-05, |
|
"loss": 0.0519, |
|
"step": 1560 |
|
}, |
|
{ |
|
"epoch": 37.38095238095238, |
|
"grad_norm": 1.6640981435775757, |
|
"learning_rate": 1.4021164021164022e-05, |
|
"loss": 0.0448, |
|
"step": 1570 |
|
}, |
|
{ |
|
"epoch": 37.61904761904762, |
|
"grad_norm": 0.358934611082077, |
|
"learning_rate": 1.3756613756613756e-05, |
|
"loss": 0.0315, |
|
"step": 1580 |
|
}, |
|
{ |
|
"epoch": 37.857142857142854, |
|
"grad_norm": 3.198369026184082, |
|
"learning_rate": 1.3492063492063492e-05, |
|
"loss": 0.0383, |
|
"step": 1590 |
|
}, |
|
{ |
|
"epoch": 38.0, |
|
"eval_accuracy": 0.9681742043551089, |
|
"eval_loss": 0.12486154586076736, |
|
"eval_runtime": 101.5464, |
|
"eval_samples_per_second": 5.879, |
|
"eval_steps_per_second": 0.187, |
|
"step": 1596 |
|
}, |
|
{ |
|
"epoch": 38.095238095238095, |
|
"grad_norm": 0.6694173216819763, |
|
"learning_rate": 1.3227513227513228e-05, |
|
"loss": 0.0289, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 38.333333333333336, |
|
"grad_norm": 2.153737783432007, |
|
"learning_rate": 1.2962962962962962e-05, |
|
"loss": 0.038, |
|
"step": 1610 |
|
}, |
|
{ |
|
"epoch": 38.57142857142857, |
|
"grad_norm": 0.9305407404899597, |
|
"learning_rate": 1.2698412698412699e-05, |
|
"loss": 0.0467, |
|
"step": 1620 |
|
}, |
|
{ |
|
"epoch": 38.80952380952381, |
|
"grad_norm": 1.1094582080841064, |
|
"learning_rate": 1.2433862433862433e-05, |
|
"loss": 0.036, |
|
"step": 1630 |
|
}, |
|
{ |
|
"epoch": 39.0, |
|
"eval_accuracy": 0.966499162479062, |
|
"eval_loss": 0.13118697702884674, |
|
"eval_runtime": 101.001, |
|
"eval_samples_per_second": 5.911, |
|
"eval_steps_per_second": 0.188, |
|
"step": 1638 |
|
}, |
|
{ |
|
"epoch": 39.04761904761905, |
|
"grad_norm": 0.5792038440704346, |
|
"learning_rate": 1.2169312169312169e-05, |
|
"loss": 0.0499, |
|
"step": 1640 |
|
}, |
|
{ |
|
"epoch": 39.285714285714285, |
|
"grad_norm": 0.9286515116691589, |
|
"learning_rate": 1.1904761904761905e-05, |
|
"loss": 0.0366, |
|
"step": 1650 |
|
}, |
|
{ |
|
"epoch": 39.523809523809526, |
|
"grad_norm": 0.1906491369009018, |
|
"learning_rate": 1.164021164021164e-05, |
|
"loss": 0.0479, |
|
"step": 1660 |
|
}, |
|
{ |
|
"epoch": 39.76190476190476, |
|
"grad_norm": 0.3992154896259308, |
|
"learning_rate": 1.1375661375661376e-05, |
|
"loss": 0.037, |
|
"step": 1670 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"grad_norm": 0.3215673863887787, |
|
"learning_rate": 1.1111111111111112e-05, |
|
"loss": 0.0405, |
|
"step": 1680 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"eval_accuracy": 0.966499162479062, |
|
"eval_loss": 0.1207132637500763, |
|
"eval_runtime": 101.9503, |
|
"eval_samples_per_second": 5.856, |
|
"eval_steps_per_second": 0.186, |
|
"step": 1680 |
|
}, |
|
{ |
|
"epoch": 40.23809523809524, |
|
"grad_norm": 0.8763807415962219, |
|
"learning_rate": 1.0846560846560846e-05, |
|
"loss": 0.0258, |
|
"step": 1690 |
|
}, |
|
{ |
|
"epoch": 40.476190476190474, |
|
"grad_norm": 1.2383830547332764, |
|
"learning_rate": 1.0582010582010582e-05, |
|
"loss": 0.0373, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 40.714285714285715, |
|
"grad_norm": 1.2714569568634033, |
|
"learning_rate": 1.0317460317460318e-05, |
|
"loss": 0.0345, |
|
"step": 1710 |
|
}, |
|
{ |
|
"epoch": 40.95238095238095, |
|
"grad_norm": 1.3528138399124146, |
|
"learning_rate": 1.0052910052910053e-05, |
|
"loss": 0.0343, |
|
"step": 1720 |
|
}, |
|
{ |
|
"epoch": 41.0, |
|
"eval_accuracy": 0.964824120603015, |
|
"eval_loss": 0.12328309565782547, |
|
"eval_runtime": 102.5699, |
|
"eval_samples_per_second": 5.82, |
|
"eval_steps_per_second": 0.185, |
|
"step": 1722 |
|
}, |
|
{ |
|
"epoch": 41.19047619047619, |
|
"grad_norm": 0.28864073753356934, |
|
"learning_rate": 9.788359788359789e-06, |
|
"loss": 0.0306, |
|
"step": 1730 |
|
}, |
|
{ |
|
"epoch": 41.42857142857143, |
|
"grad_norm": 0.915897011756897, |
|
"learning_rate": 9.523809523809523e-06, |
|
"loss": 0.0335, |
|
"step": 1740 |
|
}, |
|
{ |
|
"epoch": 41.666666666666664, |
|
"grad_norm": 1.0583347082138062, |
|
"learning_rate": 9.259259259259259e-06, |
|
"loss": 0.036, |
|
"step": 1750 |
|
}, |
|
{ |
|
"epoch": 41.904761904761905, |
|
"grad_norm": 1.7799439430236816, |
|
"learning_rate": 8.994708994708995e-06, |
|
"loss": 0.0325, |
|
"step": 1760 |
|
}, |
|
{ |
|
"epoch": 42.0, |
|
"eval_accuracy": 0.9631490787269682, |
|
"eval_loss": 0.12857390940189362, |
|
"eval_runtime": 104.7251, |
|
"eval_samples_per_second": 5.701, |
|
"eval_steps_per_second": 0.181, |
|
"step": 1764 |
|
}, |
|
{ |
|
"epoch": 42.142857142857146, |
|
"grad_norm": 1.5153943300247192, |
|
"learning_rate": 8.73015873015873e-06, |
|
"loss": 0.0305, |
|
"step": 1770 |
|
}, |
|
{ |
|
"epoch": 42.38095238095238, |
|
"grad_norm": 1.5341339111328125, |
|
"learning_rate": 8.465608465608466e-06, |
|
"loss": 0.0422, |
|
"step": 1780 |
|
}, |
|
{ |
|
"epoch": 42.61904761904762, |
|
"grad_norm": 0.7007244825363159, |
|
"learning_rate": 8.201058201058202e-06, |
|
"loss": 0.0462, |
|
"step": 1790 |
|
}, |
|
{ |
|
"epoch": 42.857142857142854, |
|
"grad_norm": 1.075047254562378, |
|
"learning_rate": 7.936507936507936e-06, |
|
"loss": 0.0293, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 43.0, |
|
"eval_accuracy": 0.9681742043551089, |
|
"eval_loss": 0.11350709199905396, |
|
"eval_runtime": 105.2069, |
|
"eval_samples_per_second": 5.675, |
|
"eval_steps_per_second": 0.181, |
|
"step": 1806 |
|
}, |
|
{ |
|
"epoch": 43.095238095238095, |
|
"grad_norm": 0.27737095952033997, |
|
"learning_rate": 7.671957671957672e-06, |
|
"loss": 0.0308, |
|
"step": 1810 |
|
}, |
|
{ |
|
"epoch": 43.333333333333336, |
|
"grad_norm": 0.4645295739173889, |
|
"learning_rate": 7.4074074074074075e-06, |
|
"loss": 0.0296, |
|
"step": 1820 |
|
}, |
|
{ |
|
"epoch": 43.57142857142857, |
|
"grad_norm": 0.7459697723388672, |
|
"learning_rate": 7.142857142857143e-06, |
|
"loss": 0.039, |
|
"step": 1830 |
|
}, |
|
{ |
|
"epoch": 43.80952380952381, |
|
"grad_norm": 1.326521396636963, |
|
"learning_rate": 6.878306878306878e-06, |
|
"loss": 0.0306, |
|
"step": 1840 |
|
}, |
|
{ |
|
"epoch": 44.0, |
|
"eval_accuracy": 0.9614740368509213, |
|
"eval_loss": 0.12575660645961761, |
|
"eval_runtime": 104.9936, |
|
"eval_samples_per_second": 5.686, |
|
"eval_steps_per_second": 0.181, |
|
"step": 1848 |
|
}, |
|
{ |
|
"epoch": 44.04761904761905, |
|
"grad_norm": 0.11777963489294052, |
|
"learning_rate": 6.613756613756614e-06, |
|
"loss": 0.0355, |
|
"step": 1850 |
|
}, |
|
{ |
|
"epoch": 44.285714285714285, |
|
"grad_norm": 0.9748639464378357, |
|
"learning_rate": 6.349206349206349e-06, |
|
"loss": 0.0281, |
|
"step": 1860 |
|
}, |
|
{ |
|
"epoch": 44.523809523809526, |
|
"grad_norm": 1.6148064136505127, |
|
"learning_rate": 6.0846560846560845e-06, |
|
"loss": 0.0251, |
|
"step": 1870 |
|
}, |
|
{ |
|
"epoch": 44.76190476190476, |
|
"grad_norm": 0.1060701385140419, |
|
"learning_rate": 5.82010582010582e-06, |
|
"loss": 0.0242, |
|
"step": 1880 |
|
}, |
|
{ |
|
"epoch": 45.0, |
|
"grad_norm": 1.808620572090149, |
|
"learning_rate": 5.555555555555556e-06, |
|
"loss": 0.0267, |
|
"step": 1890 |
|
}, |
|
{ |
|
"epoch": 45.0, |
|
"eval_accuracy": 0.964824120603015, |
|
"eval_loss": 0.12606783211231232, |
|
"eval_runtime": 106.1357, |
|
"eval_samples_per_second": 5.625, |
|
"eval_steps_per_second": 0.179, |
|
"step": 1890 |
|
}, |
|
{ |
|
"epoch": 45.23809523809524, |
|
"grad_norm": 1.064568042755127, |
|
"learning_rate": 5.291005291005291e-06, |
|
"loss": 0.0295, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 45.476190476190474, |
|
"grad_norm": 0.4456542730331421, |
|
"learning_rate": 5.026455026455026e-06, |
|
"loss": 0.0341, |
|
"step": 1910 |
|
}, |
|
{ |
|
"epoch": 45.714285714285715, |
|
"grad_norm": 1.5678577423095703, |
|
"learning_rate": 4.7619047619047615e-06, |
|
"loss": 0.0323, |
|
"step": 1920 |
|
}, |
|
{ |
|
"epoch": 45.95238095238095, |
|
"grad_norm": 1.6082887649536133, |
|
"learning_rate": 4.497354497354498e-06, |
|
"loss": 0.0338, |
|
"step": 1930 |
|
}, |
|
{ |
|
"epoch": 46.0, |
|
"eval_accuracy": 0.966499162479062, |
|
"eval_loss": 0.12089279294013977, |
|
"eval_runtime": 105.3726, |
|
"eval_samples_per_second": 5.666, |
|
"eval_steps_per_second": 0.18, |
|
"step": 1932 |
|
}, |
|
{ |
|
"epoch": 46.19047619047619, |
|
"grad_norm": 0.628757894039154, |
|
"learning_rate": 4.232804232804233e-06, |
|
"loss": 0.039, |
|
"step": 1940 |
|
}, |
|
{ |
|
"epoch": 46.42857142857143, |
|
"grad_norm": 0.13868111371994019, |
|
"learning_rate": 3.968253968253968e-06, |
|
"loss": 0.0264, |
|
"step": 1950 |
|
}, |
|
{ |
|
"epoch": 46.666666666666664, |
|
"grad_norm": 1.5409092903137207, |
|
"learning_rate": 3.7037037037037037e-06, |
|
"loss": 0.0312, |
|
"step": 1960 |
|
}, |
|
{ |
|
"epoch": 46.904761904761905, |
|
"grad_norm": 1.158074975013733, |
|
"learning_rate": 3.439153439153439e-06, |
|
"loss": 0.0213, |
|
"step": 1970 |
|
}, |
|
{ |
|
"epoch": 47.0, |
|
"eval_accuracy": 0.966499162479062, |
|
"eval_loss": 0.11565249413251877, |
|
"eval_runtime": 104.0226, |
|
"eval_samples_per_second": 5.739, |
|
"eval_steps_per_second": 0.183, |
|
"step": 1974 |
|
}, |
|
{ |
|
"epoch": 47.142857142857146, |
|
"grad_norm": 1.6575576066970825, |
|
"learning_rate": 3.1746031746031746e-06, |
|
"loss": 0.0262, |
|
"step": 1980 |
|
}, |
|
{ |
|
"epoch": 47.38095238095238, |
|
"grad_norm": 1.0997730493545532, |
|
"learning_rate": 2.91005291005291e-06, |
|
"loss": 0.0263, |
|
"step": 1990 |
|
}, |
|
{ |
|
"epoch": 47.61904761904762, |
|
"grad_norm": 0.41330787539482117, |
|
"learning_rate": 2.6455026455026455e-06, |
|
"loss": 0.031, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 47.857142857142854, |
|
"grad_norm": 0.409661203622818, |
|
"learning_rate": 2.3809523809523808e-06, |
|
"loss": 0.0285, |
|
"step": 2010 |
|
}, |
|
{ |
|
"epoch": 48.0, |
|
"eval_accuracy": 0.9631490787269682, |
|
"eval_loss": 0.12032893300056458, |
|
"eval_runtime": 103.9176, |
|
"eval_samples_per_second": 5.745, |
|
"eval_steps_per_second": 0.183, |
|
"step": 2016 |
|
}, |
|
{ |
|
"epoch": 48.095238095238095, |
|
"grad_norm": 1.2258131504058838, |
|
"learning_rate": 2.1164021164021164e-06, |
|
"loss": 0.0379, |
|
"step": 2020 |
|
}, |
|
{ |
|
"epoch": 48.333333333333336, |
|
"grad_norm": 1.0911734104156494, |
|
"learning_rate": 1.8518518518518519e-06, |
|
"loss": 0.0267, |
|
"step": 2030 |
|
}, |
|
{ |
|
"epoch": 48.57142857142857, |
|
"grad_norm": 1.2295212745666504, |
|
"learning_rate": 1.5873015873015873e-06, |
|
"loss": 0.0194, |
|
"step": 2040 |
|
}, |
|
{ |
|
"epoch": 48.80952380952381, |
|
"grad_norm": 0.645757257938385, |
|
"learning_rate": 1.3227513227513228e-06, |
|
"loss": 0.0287, |
|
"step": 2050 |
|
}, |
|
{ |
|
"epoch": 49.0, |
|
"eval_accuracy": 0.964824120603015, |
|
"eval_loss": 0.12397059053182602, |
|
"eval_runtime": 104.3655, |
|
"eval_samples_per_second": 5.72, |
|
"eval_steps_per_second": 0.182, |
|
"step": 2058 |
|
}, |
|
{ |
|
"epoch": 49.04761904761905, |
|
"grad_norm": 1.8496387004852295, |
|
"learning_rate": 1.0582010582010582e-06, |
|
"loss": 0.0338, |
|
"step": 2060 |
|
}, |
|
{ |
|
"epoch": 49.285714285714285, |
|
"grad_norm": 0.7916781306266785, |
|
"learning_rate": 7.936507936507937e-07, |
|
"loss": 0.0271, |
|
"step": 2070 |
|
}, |
|
{ |
|
"epoch": 49.523809523809526, |
|
"grad_norm": 1.60358464717865, |
|
"learning_rate": 5.291005291005291e-07, |
|
"loss": 0.0329, |
|
"step": 2080 |
|
}, |
|
{ |
|
"epoch": 49.76190476190476, |
|
"grad_norm": 1.0516901016235352, |
|
"learning_rate": 2.6455026455026455e-07, |
|
"loss": 0.0373, |
|
"step": 2090 |
|
}, |
|
{ |
|
"epoch": 50.0, |
|
"grad_norm": 1.148287296295166, |
|
"learning_rate": 0.0, |
|
"loss": 0.0183, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 50.0, |
|
"eval_accuracy": 0.966499162479062, |
|
"eval_loss": 0.12244007736444473, |
|
"eval_runtime": 105.8827, |
|
"eval_samples_per_second": 5.638, |
|
"eval_steps_per_second": 0.179, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 50.0, |
|
"step": 2100, |
|
"total_flos": 2.0803097508518707e+19, |
|
"train_loss": 0.1363242975941726, |
|
"train_runtime": 52918.3087, |
|
"train_samples_per_second": 5.073, |
|
"train_steps_per_second": 0.04 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 2100, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 50, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 2.0803097508518707e+19, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|