xlm-r_kat-geor / trainer_state.json
DGurgurov's picture
Uploading checkpoint-99500 for xlm-r - kat-geor
b69f6f2 verified
{
"best_metric": 0.7950243949890137,
"best_model_checkpoint": "./model_fine-tune/glot/xlm-r/kat-Geor/checkpoint-99500",
"epoch": 32.34720416124838,
"eval_steps": 500,
"global_step": 99500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.1625487646293888,
"grad_norm": 4.931751251220703,
"learning_rate": 9.95e-05,
"loss": 1.3006,
"step": 500
},
{
"epoch": 0.1625487646293888,
"eval_accuracy": 0.7623556146386671,
"eval_loss": 1.3419054746627808,
"eval_runtime": 224.5592,
"eval_samples_per_second": 90.996,
"eval_steps_per_second": 2.846,
"step": 500
},
{
"epoch": 0.3250975292587776,
"grad_norm": 4.145026683807373,
"learning_rate": 9.900000000000001e-05,
"loss": 1.2154,
"step": 1000
},
{
"epoch": 0.3250975292587776,
"eval_accuracy": 0.7721005611086652,
"eval_loss": 1.2983847856521606,
"eval_runtime": 225.9654,
"eval_samples_per_second": 90.43,
"eval_steps_per_second": 2.828,
"step": 1000
},
{
"epoch": 0.48764629388816644,
"grad_norm": 4.589369297027588,
"learning_rate": 9.850000000000001e-05,
"loss": 1.1779,
"step": 1500
},
{
"epoch": 0.48764629388816644,
"eval_accuracy": 0.7790585887983502,
"eval_loss": 1.2703238725662231,
"eval_runtime": 226.7078,
"eval_samples_per_second": 90.134,
"eval_steps_per_second": 2.819,
"step": 1500
},
{
"epoch": 0.6501950585175552,
"grad_norm": 4.552799701690674,
"learning_rate": 9.8e-05,
"loss": 1.1546,
"step": 2000
},
{
"epoch": 0.6501950585175552,
"eval_accuracy": 0.7819611016961427,
"eval_loss": 1.2609333992004395,
"eval_runtime": 226.665,
"eval_samples_per_second": 90.151,
"eval_steps_per_second": 2.819,
"step": 2000
},
{
"epoch": 0.812743823146944,
"grad_norm": 3.709968328475952,
"learning_rate": 9.75e-05,
"loss": 1.1259,
"step": 2500
},
{
"epoch": 0.812743823146944,
"eval_accuracy": 0.7877356734428504,
"eval_loss": 1.2131903171539307,
"eval_runtime": 226.8657,
"eval_samples_per_second": 90.071,
"eval_steps_per_second": 2.817,
"step": 2500
},
{
"epoch": 0.9752925877763329,
"grad_norm": 3.6233718395233154,
"learning_rate": 9.7e-05,
"loss": 1.0938,
"step": 3000
},
{
"epoch": 0.9752925877763329,
"eval_accuracy": 0.789409001949858,
"eval_loss": 1.2194353342056274,
"eval_runtime": 226.5843,
"eval_samples_per_second": 90.183,
"eval_steps_per_second": 2.82,
"step": 3000
},
{
"epoch": 1.1378413524057218,
"grad_norm": 3.7706315517425537,
"learning_rate": 9.65e-05,
"loss": 1.0728,
"step": 3500
},
{
"epoch": 1.1378413524057218,
"eval_accuracy": 0.7930909730559011,
"eval_loss": 1.2004605531692505,
"eval_runtime": 225.3386,
"eval_samples_per_second": 90.681,
"eval_steps_per_second": 2.836,
"step": 3500
},
{
"epoch": 1.3003901170351106,
"grad_norm": 3.654762029647827,
"learning_rate": 9.6e-05,
"loss": 1.067,
"step": 4000
},
{
"epoch": 1.3003901170351106,
"eval_accuracy": 0.7911667822625772,
"eval_loss": 1.206479549407959,
"eval_runtime": 229.9442,
"eval_samples_per_second": 88.865,
"eval_steps_per_second": 2.779,
"step": 4000
},
{
"epoch": 1.4629388816644995,
"grad_norm": 3.6047844886779785,
"learning_rate": 9.55e-05,
"loss": 1.0623,
"step": 4500
},
{
"epoch": 1.4629388816644995,
"eval_accuracy": 0.7950484617863337,
"eval_loss": 1.186224341392517,
"eval_runtime": 229.5346,
"eval_samples_per_second": 89.024,
"eval_steps_per_second": 2.784,
"step": 4500
},
{
"epoch": 1.6254876462938883,
"grad_norm": 3.174414873123169,
"learning_rate": 9.5e-05,
"loss": 1.0452,
"step": 5000
},
{
"epoch": 1.6254876462938883,
"eval_accuracy": 0.7986192006290228,
"eval_loss": 1.1624418497085571,
"eval_runtime": 227.8114,
"eval_samples_per_second": 89.697,
"eval_steps_per_second": 2.805,
"step": 5000
},
{
"epoch": 1.7880364109232771,
"grad_norm": 3.455960988998413,
"learning_rate": 9.449999999999999e-05,
"loss": 1.0203,
"step": 5500
},
{
"epoch": 1.7880364109232771,
"eval_accuracy": 0.7996825782405662,
"eval_loss": 1.160246729850769,
"eval_runtime": 227.8469,
"eval_samples_per_second": 89.683,
"eval_steps_per_second": 2.805,
"step": 5500
},
{
"epoch": 1.9505851755526658,
"grad_norm": 3.4478368759155273,
"learning_rate": 9.4e-05,
"loss": 1.0102,
"step": 6000
},
{
"epoch": 1.9505851755526658,
"eval_accuracy": 0.8028851426121806,
"eval_loss": 1.1382070779800415,
"eval_runtime": 225.8399,
"eval_samples_per_second": 90.48,
"eval_steps_per_second": 2.829,
"step": 6000
},
{
"epoch": 2.113133940182055,
"grad_norm": 3.5076828002929688,
"learning_rate": 9.350000000000001e-05,
"loss": 1.0007,
"step": 6500
},
{
"epoch": 2.113133940182055,
"eval_accuracy": 0.8036015201468353,
"eval_loss": 1.1308486461639404,
"eval_runtime": 227.3542,
"eval_samples_per_second": 89.877,
"eval_steps_per_second": 2.811,
"step": 6500
},
{
"epoch": 2.2756827048114436,
"grad_norm": 2.954378366470337,
"learning_rate": 9.300000000000001e-05,
"loss": 0.9828,
"step": 7000
},
{
"epoch": 2.2756827048114436,
"eval_accuracy": 0.80609597689472,
"eval_loss": 1.1300016641616821,
"eval_runtime": 226.3258,
"eval_samples_per_second": 90.286,
"eval_steps_per_second": 2.823,
"step": 7000
},
{
"epoch": 2.438231469440832,
"grad_norm": 3.6220898628234863,
"learning_rate": 9.250000000000001e-05,
"loss": 0.9738,
"step": 7500
},
{
"epoch": 2.438231469440832,
"eval_accuracy": 0.807549206838832,
"eval_loss": 1.1173433065414429,
"eval_runtime": 230.0766,
"eval_samples_per_second": 88.814,
"eval_steps_per_second": 2.777,
"step": 7500
},
{
"epoch": 2.6007802340702213,
"grad_norm": 3.0354886054992676,
"learning_rate": 9.200000000000001e-05,
"loss": 0.9726,
"step": 8000
},
{
"epoch": 2.6007802340702213,
"eval_accuracy": 0.8092077277721563,
"eval_loss": 1.1192331314086914,
"eval_runtime": 228.747,
"eval_samples_per_second": 89.33,
"eval_steps_per_second": 2.793,
"step": 8000
},
{
"epoch": 2.7633289986996097,
"grad_norm": 2.905066967010498,
"learning_rate": 9.15e-05,
"loss": 0.9639,
"step": 8500
},
{
"epoch": 2.7633289986996097,
"eval_accuracy": 0.8105359765383991,
"eval_loss": 1.0964252948760986,
"eval_runtime": 239.0977,
"eval_samples_per_second": 85.463,
"eval_steps_per_second": 2.673,
"step": 8500
},
{
"epoch": 2.925877763328999,
"grad_norm": 2.5866756439208984,
"learning_rate": 9.1e-05,
"loss": 0.9562,
"step": 9000
},
{
"epoch": 2.925877763328999,
"eval_accuracy": 0.8124049786000702,
"eval_loss": 1.0979543924331665,
"eval_runtime": 228.0298,
"eval_samples_per_second": 89.611,
"eval_steps_per_second": 2.802,
"step": 9000
},
{
"epoch": 3.0884265279583873,
"grad_norm": 3.0912091732025146,
"learning_rate": 9.05e-05,
"loss": 0.9412,
"step": 9500
},
{
"epoch": 3.0884265279583873,
"eval_accuracy": 0.8128664613154557,
"eval_loss": 1.098233699798584,
"eval_runtime": 226.3594,
"eval_samples_per_second": 90.272,
"eval_steps_per_second": 2.823,
"step": 9500
},
{
"epoch": 3.250975292587776,
"grad_norm": 3.310755968093872,
"learning_rate": 9e-05,
"loss": 0.9404,
"step": 10000
},
{
"epoch": 3.250975292587776,
"eval_accuracy": 0.8141734154155298,
"eval_loss": 1.0834821462631226,
"eval_runtime": 229.2889,
"eval_samples_per_second": 89.119,
"eval_steps_per_second": 2.787,
"step": 10000
},
{
"epoch": 3.413524057217165,
"grad_norm": 3.2035183906555176,
"learning_rate": 8.950000000000001e-05,
"loss": 0.9345,
"step": 10500
},
{
"epoch": 3.413524057217165,
"eval_accuracy": 0.8148430925920552,
"eval_loss": 1.071053385734558,
"eval_runtime": 228.6307,
"eval_samples_per_second": 89.376,
"eval_steps_per_second": 2.795,
"step": 10500
},
{
"epoch": 3.576072821846554,
"grad_norm": 3.3350119590759277,
"learning_rate": 8.900000000000001e-05,
"loss": 0.9287,
"step": 11000
},
{
"epoch": 3.576072821846554,
"eval_accuracy": 0.8148937367897325,
"eval_loss": 1.0869466066360474,
"eval_runtime": 229.0653,
"eval_samples_per_second": 89.206,
"eval_steps_per_second": 2.79,
"step": 11000
},
{
"epoch": 3.7386215864759427,
"grad_norm": 3.0126075744628906,
"learning_rate": 8.850000000000001e-05,
"loss": 0.916,
"step": 11500
},
{
"epoch": 3.7386215864759427,
"eval_accuracy": 0.8164226040931482,
"eval_loss": 1.0795150995254517,
"eval_runtime": 227.3062,
"eval_samples_per_second": 89.896,
"eval_steps_per_second": 2.811,
"step": 11500
},
{
"epoch": 3.9011703511053315,
"grad_norm": 2.9025819301605225,
"learning_rate": 8.800000000000001e-05,
"loss": 0.9114,
"step": 12000
},
{
"epoch": 3.9011703511053315,
"eval_accuracy": 0.8172531893844662,
"eval_loss": 1.0739566087722778,
"eval_runtime": 227.5695,
"eval_samples_per_second": 89.792,
"eval_steps_per_second": 2.808,
"step": 12000
},
{
"epoch": 4.06371911573472,
"grad_norm": 3.1317036151885986,
"learning_rate": 8.75e-05,
"loss": 0.9104,
"step": 12500
},
{
"epoch": 4.06371911573472,
"eval_accuracy": 0.8181712807844302,
"eval_loss": 1.057742953300476,
"eval_runtime": 226.8271,
"eval_samples_per_second": 90.086,
"eval_steps_per_second": 2.817,
"step": 12500
},
{
"epoch": 4.22626788036411,
"grad_norm": 2.9879837036132812,
"learning_rate": 8.7e-05,
"loss": 0.8932,
"step": 13000
},
{
"epoch": 4.22626788036411,
"eval_accuracy": 0.819528608544276,
"eval_loss": 1.0524249076843262,
"eval_runtime": 227.5673,
"eval_samples_per_second": 89.793,
"eval_steps_per_second": 2.808,
"step": 13000
},
{
"epoch": 4.388816644993498,
"grad_norm": 3.1617486476898193,
"learning_rate": 8.65e-05,
"loss": 0.8884,
"step": 13500
},
{
"epoch": 4.388816644993498,
"eval_accuracy": 0.8202382159332025,
"eval_loss": 1.0618681907653809,
"eval_runtime": 228.7279,
"eval_samples_per_second": 89.338,
"eval_steps_per_second": 2.794,
"step": 13500
},
{
"epoch": 4.551365409622887,
"grad_norm": 3.287351131439209,
"learning_rate": 8.6e-05,
"loss": 0.8932,
"step": 14000
},
{
"epoch": 4.551365409622887,
"eval_accuracy": 0.821493227612126,
"eval_loss": 1.0429145097732544,
"eval_runtime": 229.2177,
"eval_samples_per_second": 89.147,
"eval_steps_per_second": 2.788,
"step": 14000
},
{
"epoch": 4.713914174252276,
"grad_norm": 3.1148979663848877,
"learning_rate": 8.55e-05,
"loss": 0.8871,
"step": 14500
},
{
"epoch": 4.713914174252276,
"eval_accuracy": 0.821055764186474,
"eval_loss": 1.0499247312545776,
"eval_runtime": 227.9461,
"eval_samples_per_second": 89.644,
"eval_steps_per_second": 2.803,
"step": 14500
},
{
"epoch": 4.876462938881664,
"grad_norm": 3.0099728107452393,
"learning_rate": 8.5e-05,
"loss": 0.8848,
"step": 15000
},
{
"epoch": 4.876462938881664,
"eval_accuracy": 0.8221091492282949,
"eval_loss": 1.0302263498306274,
"eval_runtime": 229.0246,
"eval_samples_per_second": 89.222,
"eval_steps_per_second": 2.79,
"step": 15000
},
{
"epoch": 5.039011703511053,
"grad_norm": 2.8249874114990234,
"learning_rate": 8.450000000000001e-05,
"loss": 0.8772,
"step": 15500
},
{
"epoch": 5.039011703511053,
"eval_accuracy": 0.8225020975532324,
"eval_loss": 1.0407395362854004,
"eval_runtime": 230.4007,
"eval_samples_per_second": 88.689,
"eval_steps_per_second": 2.773,
"step": 15500
},
{
"epoch": 5.201560468140442,
"grad_norm": 2.273552179336548,
"learning_rate": 8.4e-05,
"loss": 0.8715,
"step": 16000
},
{
"epoch": 5.201560468140442,
"eval_accuracy": 0.8238052823384368,
"eval_loss": 1.0325181484222412,
"eval_runtime": 230.5347,
"eval_samples_per_second": 88.637,
"eval_steps_per_second": 2.772,
"step": 16000
},
{
"epoch": 5.364109232769831,
"grad_norm": 2.884051561355591,
"learning_rate": 8.35e-05,
"loss": 0.8687,
"step": 16500
},
{
"epoch": 5.364109232769831,
"eval_accuracy": 0.8243404153748926,
"eval_loss": 1.0298871994018555,
"eval_runtime": 231.4091,
"eval_samples_per_second": 88.302,
"eval_steps_per_second": 2.761,
"step": 16500
},
{
"epoch": 5.526657997399219,
"grad_norm": 3.12709379196167,
"learning_rate": 8.3e-05,
"loss": 0.8674,
"step": 17000
},
{
"epoch": 5.526657997399219,
"eval_accuracy": 0.8245251637171149,
"eval_loss": 1.0233651399612427,
"eval_runtime": 225.4766,
"eval_samples_per_second": 90.626,
"eval_steps_per_second": 2.834,
"step": 17000
},
{
"epoch": 5.689206762028609,
"grad_norm": 2.7715749740600586,
"learning_rate": 8.25e-05,
"loss": 0.8597,
"step": 17500
},
{
"epoch": 5.689206762028609,
"eval_accuracy": 0.8253348922363006,
"eval_loss": 1.0265984535217285,
"eval_runtime": 226.4158,
"eval_samples_per_second": 90.25,
"eval_steps_per_second": 2.822,
"step": 17500
},
{
"epoch": 5.851755526657997,
"grad_norm": 2.630910873413086,
"learning_rate": 8.2e-05,
"loss": 0.8621,
"step": 18000
},
{
"epoch": 5.851755526657997,
"eval_accuracy": 0.8264286938861036,
"eval_loss": 1.025406002998352,
"eval_runtime": 225.265,
"eval_samples_per_second": 90.711,
"eval_steps_per_second": 2.837,
"step": 18000
},
{
"epoch": 6.014304291287386,
"grad_norm": 2.960498571395874,
"learning_rate": 8.15e-05,
"loss": 0.8505,
"step": 18500
},
{
"epoch": 6.014304291287386,
"eval_accuracy": 0.8266802737227764,
"eval_loss": 1.0281902551651,
"eval_runtime": 225.5813,
"eval_samples_per_second": 90.584,
"eval_steps_per_second": 2.833,
"step": 18500
},
{
"epoch": 6.176853055916775,
"grad_norm": 2.7250943183898926,
"learning_rate": 8.1e-05,
"loss": 0.8434,
"step": 19000
},
{
"epoch": 6.176853055916775,
"eval_accuracy": 0.8273285977403005,
"eval_loss": 1.019544005393982,
"eval_runtime": 225.1972,
"eval_samples_per_second": 90.738,
"eval_steps_per_second": 2.838,
"step": 19000
},
{
"epoch": 6.339401820546164,
"grad_norm": 2.45147967338562,
"learning_rate": 8.05e-05,
"loss": 0.8396,
"step": 19500
},
{
"epoch": 6.339401820546164,
"eval_accuracy": 0.8278276606616609,
"eval_loss": 1.016022801399231,
"eval_runtime": 225.1071,
"eval_samples_per_second": 90.775,
"eval_steps_per_second": 2.839,
"step": 19500
},
{
"epoch": 6.501950585175552,
"grad_norm": 3.0252089500427246,
"learning_rate": 8e-05,
"loss": 0.849,
"step": 20000
},
{
"epoch": 6.501950585175552,
"eval_accuracy": 0.8286753807254127,
"eval_loss": 0.9984493851661682,
"eval_runtime": 225.6293,
"eval_samples_per_second": 90.564,
"eval_steps_per_second": 2.832,
"step": 20000
},
{
"epoch": 6.664499349804942,
"grad_norm": 2.79874849319458,
"learning_rate": 7.950000000000001e-05,
"loss": 0.8344,
"step": 20500
},
{
"epoch": 6.664499349804942,
"eval_accuracy": 0.8295993429023929,
"eval_loss": 1.008083462715149,
"eval_runtime": 226.4394,
"eval_samples_per_second": 90.24,
"eval_steps_per_second": 2.822,
"step": 20500
},
{
"epoch": 6.82704811443433,
"grad_norm": 2.726980447769165,
"learning_rate": 7.900000000000001e-05,
"loss": 0.832,
"step": 21000
},
{
"epoch": 6.82704811443433,
"eval_accuracy": 0.8289772346442087,
"eval_loss": 1.0009534358978271,
"eval_runtime": 225.2727,
"eval_samples_per_second": 90.708,
"eval_steps_per_second": 2.837,
"step": 21000
},
{
"epoch": 6.989596879063719,
"grad_norm": 2.6177260875701904,
"learning_rate": 7.850000000000001e-05,
"loss": 0.8371,
"step": 21500
},
{
"epoch": 6.989596879063719,
"eval_accuracy": 0.828972862081629,
"eval_loss": 1.007731556892395,
"eval_runtime": 225.1985,
"eval_samples_per_second": 90.738,
"eval_steps_per_second": 2.837,
"step": 21500
},
{
"epoch": 7.152145643693108,
"grad_norm": 2.511810541152954,
"learning_rate": 7.800000000000001e-05,
"loss": 0.8221,
"step": 22000
},
{
"epoch": 7.152145643693108,
"eval_accuracy": 0.8296968824079836,
"eval_loss": 1.001420259475708,
"eval_runtime": 226.3788,
"eval_samples_per_second": 90.265,
"eval_steps_per_second": 2.823,
"step": 22000
},
{
"epoch": 7.314694408322497,
"grad_norm": 2.490196466445923,
"learning_rate": 7.75e-05,
"loss": 0.819,
"step": 22500
},
{
"epoch": 7.314694408322497,
"eval_accuracy": 0.8315370661967273,
"eval_loss": 1.0057367086410522,
"eval_runtime": 226.9835,
"eval_samples_per_second": 90.024,
"eval_steps_per_second": 2.815,
"step": 22500
},
{
"epoch": 7.477243172951885,
"grad_norm": 2.7740466594696045,
"learning_rate": 7.7e-05,
"loss": 0.8211,
"step": 23000
},
{
"epoch": 7.477243172951885,
"eval_accuracy": 0.8325044106908798,
"eval_loss": 0.9906172752380371,
"eval_runtime": 226.1902,
"eval_samples_per_second": 90.34,
"eval_steps_per_second": 2.825,
"step": 23000
},
{
"epoch": 7.639791937581275,
"grad_norm": 3.0789926052093506,
"learning_rate": 7.65e-05,
"loss": 0.818,
"step": 23500
},
{
"epoch": 7.639791937581275,
"eval_accuracy": 0.832777941957673,
"eval_loss": 0.9794951677322388,
"eval_runtime": 226.5187,
"eval_samples_per_second": 90.209,
"eval_steps_per_second": 2.821,
"step": 23500
},
{
"epoch": 7.802340702210663,
"grad_norm": 2.452514171600342,
"learning_rate": 7.6e-05,
"loss": 0.8128,
"step": 24000
},
{
"epoch": 7.802340702210663,
"eval_accuracy": 0.8325327815535476,
"eval_loss": 0.9824967384338379,
"eval_runtime": 225.9154,
"eval_samples_per_second": 90.45,
"eval_steps_per_second": 2.828,
"step": 24000
},
{
"epoch": 7.964889466840052,
"grad_norm": 2.486287832260132,
"learning_rate": 7.55e-05,
"loss": 0.8133,
"step": 24500
},
{
"epoch": 7.964889466840052,
"eval_accuracy": 0.8329719850198115,
"eval_loss": 0.9840763211250305,
"eval_runtime": 225.7676,
"eval_samples_per_second": 90.509,
"eval_steps_per_second": 2.83,
"step": 24500
},
{
"epoch": 8.12743823146944,
"grad_norm": 2.6238162517547607,
"learning_rate": 7.500000000000001e-05,
"loss": 0.7972,
"step": 25000
},
{
"epoch": 8.12743823146944,
"eval_accuracy": 0.8329068936503207,
"eval_loss": 0.9786662459373474,
"eval_runtime": 227.0649,
"eval_samples_per_second": 89.992,
"eval_steps_per_second": 2.814,
"step": 25000
},
{
"epoch": 8.289986996098829,
"grad_norm": 2.622385025024414,
"learning_rate": 7.450000000000001e-05,
"loss": 0.8012,
"step": 25500
},
{
"epoch": 8.289986996098829,
"eval_accuracy": 0.83353766380846,
"eval_loss": 0.9908860325813293,
"eval_runtime": 225.4511,
"eval_samples_per_second": 90.636,
"eval_steps_per_second": 2.834,
"step": 25500
},
{
"epoch": 8.45253576072822,
"grad_norm": 2.3659889698028564,
"learning_rate": 7.4e-05,
"loss": 0.8002,
"step": 26000
},
{
"epoch": 8.45253576072822,
"eval_accuracy": 0.834269520268432,
"eval_loss": 0.9886682629585266,
"eval_runtime": 226.2835,
"eval_samples_per_second": 90.303,
"eval_steps_per_second": 2.824,
"step": 26000
},
{
"epoch": 8.615084525357608,
"grad_norm": 2.6340997219085693,
"learning_rate": 7.35e-05,
"loss": 0.796,
"step": 26500
},
{
"epoch": 8.615084525357608,
"eval_accuracy": 0.83431812146113,
"eval_loss": 1.1027251482009888,
"eval_runtime": 224.7718,
"eval_samples_per_second": 90.91,
"eval_steps_per_second": 2.843,
"step": 26500
},
{
"epoch": 8.777633289986996,
"grad_norm": 2.351562976837158,
"learning_rate": 7.3e-05,
"loss": 0.8032,
"step": 27000
},
{
"epoch": 8.777633289986996,
"eval_accuracy": 0.83473517326524,
"eval_loss": 0.9701533317565918,
"eval_runtime": 224.7228,
"eval_samples_per_second": 90.93,
"eval_steps_per_second": 2.844,
"step": 27000
},
{
"epoch": 8.940182054616384,
"grad_norm": 3.179107189178467,
"learning_rate": 7.25e-05,
"loss": 0.7956,
"step": 27500
},
{
"epoch": 8.940182054616384,
"eval_accuracy": 0.8351845716261748,
"eval_loss": 0.978928804397583,
"eval_runtime": 226.3807,
"eval_samples_per_second": 90.264,
"eval_steps_per_second": 2.823,
"step": 27500
},
{
"epoch": 9.102730819245775,
"grad_norm": 2.7947020530700684,
"learning_rate": 7.2e-05,
"loss": 0.7897,
"step": 28000
},
{
"epoch": 9.102730819245775,
"eval_accuracy": 0.8353527515006416,
"eval_loss": 0.9703938961029053,
"eval_runtime": 227.4785,
"eval_samples_per_second": 89.828,
"eval_steps_per_second": 2.809,
"step": 28000
},
{
"epoch": 9.265279583875163,
"grad_norm": 2.4941184520721436,
"learning_rate": 7.15e-05,
"loss": 0.7822,
"step": 28500
},
{
"epoch": 9.265279583875163,
"eval_accuracy": 0.8354081248952335,
"eval_loss": 0.985792875289917,
"eval_runtime": 225.177,
"eval_samples_per_second": 90.746,
"eval_steps_per_second": 2.838,
"step": 28500
},
{
"epoch": 9.427828348504551,
"grad_norm": 2.623500108718872,
"learning_rate": 7.1e-05,
"loss": 0.7885,
"step": 29000
},
{
"epoch": 9.427828348504551,
"eval_accuracy": 0.8367873538892325,
"eval_loss": 0.9710731506347656,
"eval_runtime": 224.2999,
"eval_samples_per_second": 91.101,
"eval_steps_per_second": 2.849,
"step": 29000
},
{
"epoch": 9.59037711313394,
"grad_norm": 2.687804698944092,
"learning_rate": 7.05e-05,
"loss": 0.7853,
"step": 29500
},
{
"epoch": 9.59037711313394,
"eval_accuracy": 0.8370918540482961,
"eval_loss": 0.9488577246665955,
"eval_runtime": 225.5849,
"eval_samples_per_second": 90.582,
"eval_steps_per_second": 2.833,
"step": 29500
},
{
"epoch": 9.752925877763328,
"grad_norm": 2.415875196456909,
"learning_rate": 7e-05,
"loss": 0.7834,
"step": 30000
},
{
"epoch": 9.752925877763328,
"eval_accuracy": 0.8376393865857097,
"eval_loss": 0.9489056468009949,
"eval_runtime": 224.5743,
"eval_samples_per_second": 90.99,
"eval_steps_per_second": 2.845,
"step": 30000
},
{
"epoch": 9.915474642392718,
"grad_norm": 2.635620355606079,
"learning_rate": 6.95e-05,
"loss": 0.7795,
"step": 30500
},
{
"epoch": 9.915474642392718,
"eval_accuracy": 0.8379052346488646,
"eval_loss": 0.9600683450698853,
"eval_runtime": 227.5569,
"eval_samples_per_second": 89.797,
"eval_steps_per_second": 2.808,
"step": 30500
},
{
"epoch": 10.078023407022107,
"grad_norm": 2.2729740142822266,
"learning_rate": 6.9e-05,
"loss": 0.7784,
"step": 31000
},
{
"epoch": 10.078023407022107,
"eval_accuracy": 0.8387711597381718,
"eval_loss": 0.9676991701126099,
"eval_runtime": 227.0441,
"eval_samples_per_second": 90.0,
"eval_steps_per_second": 2.814,
"step": 31000
},
{
"epoch": 10.240572171651495,
"grad_norm": 2.665194511413574,
"learning_rate": 6.850000000000001e-05,
"loss": 0.7731,
"step": 31500
},
{
"epoch": 10.240572171651495,
"eval_accuracy": 0.8384039380286287,
"eval_loss": 0.9660561084747314,
"eval_runtime": 225.7122,
"eval_samples_per_second": 90.531,
"eval_steps_per_second": 2.831,
"step": 31500
},
{
"epoch": 10.403120936280883,
"grad_norm": 2.378326892852783,
"learning_rate": 6.800000000000001e-05,
"loss": 0.7732,
"step": 32000
},
{
"epoch": 10.403120936280883,
"eval_accuracy": 0.8384703620413777,
"eval_loss": 0.9522095322608948,
"eval_runtime": 226.2237,
"eval_samples_per_second": 90.327,
"eval_steps_per_second": 2.825,
"step": 32000
},
{
"epoch": 10.565669700910274,
"grad_norm": 2.3873043060302734,
"learning_rate": 6.750000000000001e-05,
"loss": 0.7675,
"step": 32500
},
{
"epoch": 10.565669700910274,
"eval_accuracy": 0.8387303829039866,
"eval_loss": 0.9506338238716125,
"eval_runtime": 225.3705,
"eval_samples_per_second": 90.668,
"eval_steps_per_second": 2.835,
"step": 32500
},
{
"epoch": 10.728218465539662,
"grad_norm": 2.908627986907959,
"learning_rate": 6.7e-05,
"loss": 0.7632,
"step": 33000
},
{
"epoch": 10.728218465539662,
"eval_accuracy": 0.8393342612931991,
"eval_loss": 0.9406708478927612,
"eval_runtime": 226.5163,
"eval_samples_per_second": 90.21,
"eval_steps_per_second": 2.821,
"step": 33000
},
{
"epoch": 10.89076723016905,
"grad_norm": 2.353163242340088,
"learning_rate": 6.65e-05,
"loss": 0.7652,
"step": 33500
},
{
"epoch": 10.89076723016905,
"eval_accuracy": 0.8397924279467366,
"eval_loss": 0.9450008869171143,
"eval_runtime": 228.8699,
"eval_samples_per_second": 89.282,
"eval_steps_per_second": 2.792,
"step": 33500
},
{
"epoch": 11.053315994798439,
"grad_norm": 2.5943007469177246,
"learning_rate": 6.6e-05,
"loss": 0.7569,
"step": 34000
},
{
"epoch": 11.053315994798439,
"eval_accuracy": 0.8403287583785509,
"eval_loss": 0.9399783611297607,
"eval_runtime": 226.1121,
"eval_samples_per_second": 90.371,
"eval_steps_per_second": 2.826,
"step": 34000
},
{
"epoch": 11.215864759427829,
"grad_norm": 2.693864107131958,
"learning_rate": 6.55e-05,
"loss": 0.7594,
"step": 34500
},
{
"epoch": 11.215864759427829,
"eval_accuracy": 0.8401560936743129,
"eval_loss": 0.9480236172676086,
"eval_runtime": 225.4517,
"eval_samples_per_second": 90.636,
"eval_steps_per_second": 2.834,
"step": 34500
},
{
"epoch": 11.378413524057217,
"grad_norm": 2.644212484359741,
"learning_rate": 6.500000000000001e-05,
"loss": 0.7549,
"step": 35000
},
{
"epoch": 11.378413524057217,
"eval_accuracy": 0.8397807491674708,
"eval_loss": 0.947754442691803,
"eval_runtime": 224.7666,
"eval_samples_per_second": 90.912,
"eval_steps_per_second": 2.843,
"step": 35000
},
{
"epoch": 11.540962288686606,
"grad_norm": 2.548055410385132,
"learning_rate": 6.450000000000001e-05,
"loss": 0.7508,
"step": 35500
},
{
"epoch": 11.540962288686606,
"eval_accuracy": 0.8408923535971057,
"eval_loss": 0.9363004565238953,
"eval_runtime": 226.2948,
"eval_samples_per_second": 90.298,
"eval_steps_per_second": 2.824,
"step": 35500
},
{
"epoch": 11.703511053315994,
"grad_norm": 2.2983460426330566,
"learning_rate": 6.400000000000001e-05,
"loss": 0.7498,
"step": 36000
},
{
"epoch": 11.703511053315994,
"eval_accuracy": 0.8415923695179955,
"eval_loss": 0.9559971690177917,
"eval_runtime": 225.5228,
"eval_samples_per_second": 90.607,
"eval_steps_per_second": 2.833,
"step": 36000
},
{
"epoch": 11.866059817945384,
"grad_norm": 2.585132122039795,
"learning_rate": 6.35e-05,
"loss": 0.7529,
"step": 36500
},
{
"epoch": 11.866059817945384,
"eval_accuracy": 0.8414500365516611,
"eval_loss": 0.9397149085998535,
"eval_runtime": 225.5184,
"eval_samples_per_second": 90.609,
"eval_steps_per_second": 2.833,
"step": 36500
},
{
"epoch": 12.028608582574773,
"grad_norm": 2.7008893489837646,
"learning_rate": 6.3e-05,
"loss": 0.7499,
"step": 37000
},
{
"epoch": 12.028608582574773,
"eval_accuracy": 0.8429048722887895,
"eval_loss": 0.9322752952575684,
"eval_runtime": 226.0814,
"eval_samples_per_second": 90.383,
"eval_steps_per_second": 2.826,
"step": 37000
},
{
"epoch": 12.191157347204161,
"grad_norm": 2.234344959259033,
"learning_rate": 6.25e-05,
"loss": 0.7516,
"step": 37500
},
{
"epoch": 12.191157347204161,
"eval_accuracy": 0.8423553938504648,
"eval_loss": 0.9274143576622009,
"eval_runtime": 224.6544,
"eval_samples_per_second": 90.957,
"eval_steps_per_second": 2.844,
"step": 37500
},
{
"epoch": 12.35370611183355,
"grad_norm": 2.38130259513855,
"learning_rate": 6.2e-05,
"loss": 0.742,
"step": 38000
},
{
"epoch": 12.35370611183355,
"eval_accuracy": 0.8434239606449652,
"eval_loss": 0.9298020005226135,
"eval_runtime": 224.8881,
"eval_samples_per_second": 90.863,
"eval_steps_per_second": 2.841,
"step": 38000
},
{
"epoch": 12.51625487646294,
"grad_norm": 2.4753472805023193,
"learning_rate": 6.15e-05,
"loss": 0.7349,
"step": 38500
},
{
"epoch": 12.51625487646294,
"eval_accuracy": 0.8435835943839733,
"eval_loss": 0.9265833497047424,
"eval_runtime": 225.4856,
"eval_samples_per_second": 90.622,
"eval_steps_per_second": 2.834,
"step": 38500
},
{
"epoch": 12.678803641092328,
"grad_norm": 2.6576738357543945,
"learning_rate": 6.1e-05,
"loss": 0.7408,
"step": 39000
},
{
"epoch": 12.678803641092328,
"eval_accuracy": 0.8433502485604528,
"eval_loss": 0.9311428070068359,
"eval_runtime": 226.2881,
"eval_samples_per_second": 90.301,
"eval_steps_per_second": 2.824,
"step": 39000
},
{
"epoch": 12.841352405721716,
"grad_norm": 2.318998336791992,
"learning_rate": 6.05e-05,
"loss": 0.742,
"step": 39500
},
{
"epoch": 12.841352405721716,
"eval_accuracy": 0.8439347116351804,
"eval_loss": 0.9278241991996765,
"eval_runtime": 226.17,
"eval_samples_per_second": 90.348,
"eval_steps_per_second": 2.825,
"step": 39500
},
{
"epoch": 13.003901170351105,
"grad_norm": 2.5888776779174805,
"learning_rate": 6e-05,
"loss": 0.735,
"step": 40000
},
{
"epoch": 13.003901170351105,
"eval_accuracy": 0.8435309371055906,
"eval_loss": 0.9364249110221863,
"eval_runtime": 226.5769,
"eval_samples_per_second": 90.186,
"eval_steps_per_second": 2.82,
"step": 40000
},
{
"epoch": 13.166449934980495,
"grad_norm": 2.5382964611053467,
"learning_rate": 5.95e-05,
"loss": 0.7317,
"step": 40500
},
{
"epoch": 13.166449934980495,
"eval_accuracy": 0.8435685143232774,
"eval_loss": 0.9289753437042236,
"eval_runtime": 226.0444,
"eval_samples_per_second": 90.398,
"eval_steps_per_second": 2.827,
"step": 40500
},
{
"epoch": 13.328998699609883,
"grad_norm": 2.3561949729919434,
"learning_rate": 5.9e-05,
"loss": 0.7287,
"step": 41000
},
{
"epoch": 13.328998699609883,
"eval_accuracy": 0.8441468378237561,
"eval_loss": 0.9176314473152161,
"eval_runtime": 225.4845,
"eval_samples_per_second": 90.623,
"eval_steps_per_second": 2.834,
"step": 41000
},
{
"epoch": 13.491547464239272,
"grad_norm": 2.4950144290924072,
"learning_rate": 5.85e-05,
"loss": 0.7236,
"step": 41500
},
{
"epoch": 13.491547464239272,
"eval_accuracy": 0.8440490876509515,
"eval_loss": 0.9126904010772705,
"eval_runtime": 225.1525,
"eval_samples_per_second": 90.756,
"eval_steps_per_second": 2.838,
"step": 41500
},
{
"epoch": 13.65409622886866,
"grad_norm": 2.5094358921051025,
"learning_rate": 5.8e-05,
"loss": 0.7271,
"step": 42000
},
{
"epoch": 13.65409622886866,
"eval_accuracy": 0.844420508518643,
"eval_loss": 0.9222070574760437,
"eval_runtime": 226.8881,
"eval_samples_per_second": 90.062,
"eval_steps_per_second": 2.816,
"step": 42000
},
{
"epoch": 13.81664499349805,
"grad_norm": 2.5358660221099854,
"learning_rate": 5.7499999999999995e-05,
"loss": 0.7247,
"step": 42500
},
{
"epoch": 13.81664499349805,
"eval_accuracy": 0.8447406385701589,
"eval_loss": 0.911141037940979,
"eval_runtime": 226.4876,
"eval_samples_per_second": 90.221,
"eval_steps_per_second": 2.821,
"step": 42500
},
{
"epoch": 13.979193758127439,
"grad_norm": 2.449117422103882,
"learning_rate": 5.6999999999999996e-05,
"loss": 0.724,
"step": 43000
},
{
"epoch": 13.979193758127439,
"eval_accuracy": 0.8455180692523965,
"eval_loss": 0.9233959317207336,
"eval_runtime": 226.6454,
"eval_samples_per_second": 90.158,
"eval_steps_per_second": 2.819,
"step": 43000
},
{
"epoch": 14.141742522756827,
"grad_norm": 2.9299075603485107,
"learning_rate": 5.65e-05,
"loss": 0.717,
"step": 43500
},
{
"epoch": 14.141742522756827,
"eval_accuracy": 0.8457589583161474,
"eval_loss": 0.9212149381637573,
"eval_runtime": 226.3542,
"eval_samples_per_second": 90.274,
"eval_steps_per_second": 2.823,
"step": 43500
},
{
"epoch": 14.304291287386215,
"grad_norm": 2.705927610397339,
"learning_rate": 5.6000000000000006e-05,
"loss": 0.7209,
"step": 44000
},
{
"epoch": 14.304291287386215,
"eval_accuracy": 0.8461540554265815,
"eval_loss": 0.9096006155014038,
"eval_runtime": 225.3071,
"eval_samples_per_second": 90.694,
"eval_steps_per_second": 2.836,
"step": 44000
},
{
"epoch": 14.466840052015606,
"grad_norm": 2.0237460136413574,
"learning_rate": 5.550000000000001e-05,
"loss": 0.7143,
"step": 44500
},
{
"epoch": 14.466840052015606,
"eval_accuracy": 0.8467122032637585,
"eval_loss": 0.9058763980865479,
"eval_runtime": 224.7066,
"eval_samples_per_second": 90.936,
"eval_steps_per_second": 2.844,
"step": 44500
},
{
"epoch": 14.629388816644994,
"grad_norm": 2.6412603855133057,
"learning_rate": 5.500000000000001e-05,
"loss": 0.7097,
"step": 45000
},
{
"epoch": 14.629388816644994,
"eval_accuracy": 0.8469896352526538,
"eval_loss": 0.9109433889389038,
"eval_runtime": 226.4374,
"eval_samples_per_second": 90.241,
"eval_steps_per_second": 2.822,
"step": 45000
},
{
"epoch": 14.791937581274382,
"grad_norm": 2.0750892162323,
"learning_rate": 5.45e-05,
"loss": 0.7167,
"step": 45500
},
{
"epoch": 14.791937581274382,
"eval_accuracy": 0.8459233510762237,
"eval_loss": 0.9634975790977478,
"eval_runtime": 224.623,
"eval_samples_per_second": 90.97,
"eval_steps_per_second": 2.845,
"step": 45500
},
{
"epoch": 14.95448634590377,
"grad_norm": 3.2299835681915283,
"learning_rate": 5.4000000000000005e-05,
"loss": 0.7175,
"step": 46000
},
{
"epoch": 14.95448634590377,
"eval_accuracy": 0.8472973119877086,
"eval_loss": 0.9039083123207092,
"eval_runtime": 226.4661,
"eval_samples_per_second": 90.23,
"eval_steps_per_second": 2.822,
"step": 46000
},
{
"epoch": 15.117035110533159,
"grad_norm": 2.562220573425293,
"learning_rate": 5.3500000000000006e-05,
"loss": 0.7032,
"step": 46500
},
{
"epoch": 15.117035110533159,
"eval_accuracy": 0.8473520786144324,
"eval_loss": 0.911507785320282,
"eval_runtime": 224.8892,
"eval_samples_per_second": 90.863,
"eval_steps_per_second": 2.841,
"step": 46500
},
{
"epoch": 15.27958387516255,
"grad_norm": 2.8594844341278076,
"learning_rate": 5.300000000000001e-05,
"loss": 0.7082,
"step": 47000
},
{
"epoch": 15.27958387516255,
"eval_accuracy": 0.8476350142048673,
"eval_loss": 0.909827470779419,
"eval_runtime": 225.7006,
"eval_samples_per_second": 90.536,
"eval_steps_per_second": 2.831,
"step": 47000
},
{
"epoch": 15.442132639791938,
"grad_norm": 2.468425989151001,
"learning_rate": 5.25e-05,
"loss": 0.7041,
"step": 47500
},
{
"epoch": 15.442132639791938,
"eval_accuracy": 0.8478791054352419,
"eval_loss": 0.9049926996231079,
"eval_runtime": 224.8771,
"eval_samples_per_second": 90.867,
"eval_steps_per_second": 2.842,
"step": 47500
},
{
"epoch": 15.604681404421326,
"grad_norm": 2.389726400375366,
"learning_rate": 5.2000000000000004e-05,
"loss": 0.7031,
"step": 48000
},
{
"epoch": 15.604681404421326,
"eval_accuracy": 0.8481061886894397,
"eval_loss": 0.890941858291626,
"eval_runtime": 226.989,
"eval_samples_per_second": 90.022,
"eval_steps_per_second": 2.815,
"step": 48000
},
{
"epoch": 15.767230169050714,
"grad_norm": 2.2124507427215576,
"learning_rate": 5.1500000000000005e-05,
"loss": 0.6986,
"step": 48500
},
{
"epoch": 15.767230169050714,
"eval_accuracy": 0.8491361761433549,
"eval_loss": 0.9069699048995972,
"eval_runtime": 224.9486,
"eval_samples_per_second": 90.839,
"eval_steps_per_second": 2.841,
"step": 48500
},
{
"epoch": 15.929778933680105,
"grad_norm": 2.2906134128570557,
"learning_rate": 5.1000000000000006e-05,
"loss": 0.707,
"step": 49000
},
{
"epoch": 15.929778933680105,
"eval_accuracy": 0.8479968642310016,
"eval_loss": 0.9036478996276855,
"eval_runtime": 225.9102,
"eval_samples_per_second": 90.452,
"eval_steps_per_second": 2.829,
"step": 49000
},
{
"epoch": 16.092327698309493,
"grad_norm": 2.6677193641662598,
"learning_rate": 5.05e-05,
"loss": 0.6948,
"step": 49500
},
{
"epoch": 16.092327698309493,
"eval_accuracy": 0.8493272111938716,
"eval_loss": 0.9056188464164734,
"eval_runtime": 225.0003,
"eval_samples_per_second": 90.818,
"eval_steps_per_second": 2.84,
"step": 49500
},
{
"epoch": 16.25487646293888,
"grad_norm": 2.4262144565582275,
"learning_rate": 5e-05,
"loss": 0.6967,
"step": 50000
},
{
"epoch": 16.25487646293888,
"eval_accuracy": 0.8485872336104957,
"eval_loss": 0.896799623966217,
"eval_runtime": 224.1595,
"eval_samples_per_second": 91.158,
"eval_steps_per_second": 2.851,
"step": 50000
},
{
"epoch": 16.41742522756827,
"grad_norm": 2.316122055053711,
"learning_rate": 4.9500000000000004e-05,
"loss": 0.6977,
"step": 50500
},
{
"epoch": 16.41742522756827,
"eval_accuracy": 0.8495556837644054,
"eval_loss": 0.9065157175064087,
"eval_runtime": 225.8926,
"eval_samples_per_second": 90.459,
"eval_steps_per_second": 2.829,
"step": 50500
},
{
"epoch": 16.579973992197658,
"grad_norm": 2.6691653728485107,
"learning_rate": 4.9e-05,
"loss": 0.6961,
"step": 51000
},
{
"epoch": 16.579973992197658,
"eval_accuracy": 0.8500652800696321,
"eval_loss": 0.896096408367157,
"eval_runtime": 232.2659,
"eval_samples_per_second": 87.977,
"eval_steps_per_second": 2.751,
"step": 51000
},
{
"epoch": 16.742522756827046,
"grad_norm": 2.475905656814575,
"learning_rate": 4.85e-05,
"loss": 0.6916,
"step": 51500
},
{
"epoch": 16.742522756827046,
"eval_accuracy": 0.8497042599251818,
"eval_loss": 0.8976150155067444,
"eval_runtime": 226.0766,
"eval_samples_per_second": 90.385,
"eval_steps_per_second": 2.826,
"step": 51500
},
{
"epoch": 16.90507152145644,
"grad_norm": 2.786370277404785,
"learning_rate": 4.8e-05,
"loss": 0.6914,
"step": 52000
},
{
"epoch": 16.90507152145644,
"eval_accuracy": 0.8496545695743757,
"eval_loss": 0.8938505053520203,
"eval_runtime": 224.6085,
"eval_samples_per_second": 90.976,
"eval_steps_per_second": 2.845,
"step": 52000
},
{
"epoch": 17.067620286085827,
"grad_norm": 2.8185195922851562,
"learning_rate": 4.75e-05,
"loss": 0.6843,
"step": 52500
},
{
"epoch": 17.067620286085827,
"eval_accuracy": 0.8506024205488569,
"eval_loss": 0.902123749256134,
"eval_runtime": 225.1853,
"eval_samples_per_second": 90.743,
"eval_steps_per_second": 2.838,
"step": 52500
},
{
"epoch": 17.230169050715215,
"grad_norm": 2.287614107131958,
"learning_rate": 4.7e-05,
"loss": 0.6886,
"step": 53000
},
{
"epoch": 17.230169050715215,
"eval_accuracy": 0.8509516099496137,
"eval_loss": 0.8869491815567017,
"eval_runtime": 225.8223,
"eval_samples_per_second": 90.487,
"eval_steps_per_second": 2.83,
"step": 53000
},
{
"epoch": 17.392717815344604,
"grad_norm": 2.545166492462158,
"learning_rate": 4.6500000000000005e-05,
"loss": 0.6895,
"step": 53500
},
{
"epoch": 17.392717815344604,
"eval_accuracy": 0.8509741315809264,
"eval_loss": 0.88730388879776,
"eval_runtime": 225.2327,
"eval_samples_per_second": 90.724,
"eval_steps_per_second": 2.837,
"step": 53500
},
{
"epoch": 17.555266579973992,
"grad_norm": 2.133690357208252,
"learning_rate": 4.600000000000001e-05,
"loss": 0.684,
"step": 54000
},
{
"epoch": 17.555266579973992,
"eval_accuracy": 0.8506065339944305,
"eval_loss": 0.8796634674072266,
"eval_runtime": 225.9145,
"eval_samples_per_second": 90.45,
"eval_steps_per_second": 2.829,
"step": 54000
},
{
"epoch": 17.71781534460338,
"grad_norm": 2.368135690689087,
"learning_rate": 4.55e-05,
"loss": 0.6814,
"step": 54500
},
{
"epoch": 17.71781534460338,
"eval_accuracy": 0.8518810256708096,
"eval_loss": 0.8883038759231567,
"eval_runtime": 226.0516,
"eval_samples_per_second": 90.395,
"eval_steps_per_second": 2.827,
"step": 54500
},
{
"epoch": 17.88036410923277,
"grad_norm": 2.93131685256958,
"learning_rate": 4.5e-05,
"loss": 0.6814,
"step": 55000
},
{
"epoch": 17.88036410923277,
"eval_accuracy": 0.8515069138621577,
"eval_loss": 0.8804932832717896,
"eval_runtime": 224.3083,
"eval_samples_per_second": 91.098,
"eval_steps_per_second": 2.849,
"step": 55000
},
{
"epoch": 18.042912873862157,
"grad_norm": 2.6115188598632812,
"learning_rate": 4.4500000000000004e-05,
"loss": 0.6825,
"step": 55500
},
{
"epoch": 18.042912873862157,
"eval_accuracy": 0.8524721846400168,
"eval_loss": 0.8792157173156738,
"eval_runtime": 225.8719,
"eval_samples_per_second": 90.467,
"eval_steps_per_second": 2.829,
"step": 55500
},
{
"epoch": 18.20546163849155,
"grad_norm": 3.650696039199829,
"learning_rate": 4.4000000000000006e-05,
"loss": 0.6754,
"step": 56000
},
{
"epoch": 18.20546163849155,
"eval_accuracy": 0.8515890870808295,
"eval_loss": 0.8762602210044861,
"eval_runtime": 225.4458,
"eval_samples_per_second": 90.638,
"eval_steps_per_second": 2.834,
"step": 56000
},
{
"epoch": 18.368010403120937,
"grad_norm": 2.48811936378479,
"learning_rate": 4.35e-05,
"loss": 0.6694,
"step": 56500
},
{
"epoch": 18.368010403120937,
"eval_accuracy": 0.852083188035357,
"eval_loss": 0.8903321623802185,
"eval_runtime": 231.1517,
"eval_samples_per_second": 88.401,
"eval_steps_per_second": 2.764,
"step": 56500
},
{
"epoch": 18.530559167750326,
"grad_norm": 2.664206027984619,
"learning_rate": 4.3e-05,
"loss": 0.6711,
"step": 57000
},
{
"epoch": 18.530559167750326,
"eval_accuracy": 0.8524635038150364,
"eval_loss": 0.8883496522903442,
"eval_runtime": 224.7773,
"eval_samples_per_second": 90.908,
"eval_steps_per_second": 2.843,
"step": 57000
},
{
"epoch": 18.693107932379714,
"grad_norm": 2.5020461082458496,
"learning_rate": 4.25e-05,
"loss": 0.6701,
"step": 57500
},
{
"epoch": 18.693107932379714,
"eval_accuracy": 0.8527774358008777,
"eval_loss": 0.8737440705299377,
"eval_runtime": 224.3031,
"eval_samples_per_second": 91.1,
"eval_steps_per_second": 2.849,
"step": 57500
},
{
"epoch": 18.855656697009103,
"grad_norm": 2.341423273086548,
"learning_rate": 4.2e-05,
"loss": 0.6722,
"step": 58000
},
{
"epoch": 18.855656697009103,
"eval_accuracy": 0.8529963243635703,
"eval_loss": 0.8735175132751465,
"eval_runtime": 225.4167,
"eval_samples_per_second": 90.65,
"eval_steps_per_second": 2.835,
"step": 58000
},
{
"epoch": 19.01820546163849,
"grad_norm": 2.4827890396118164,
"learning_rate": 4.15e-05,
"loss": 0.6723,
"step": 58500
},
{
"epoch": 19.01820546163849,
"eval_accuracy": 0.853864474597493,
"eval_loss": 0.8714447021484375,
"eval_runtime": 225.7934,
"eval_samples_per_second": 90.499,
"eval_steps_per_second": 2.83,
"step": 58500
},
{
"epoch": 19.18075422626788,
"grad_norm": 2.6257293224334717,
"learning_rate": 4.1e-05,
"loss": 0.6623,
"step": 59000
},
{
"epoch": 19.18075422626788,
"eval_accuracy": 0.8535918441752076,
"eval_loss": 0.8707379698753357,
"eval_runtime": 233.0012,
"eval_samples_per_second": 87.699,
"eval_steps_per_second": 2.742,
"step": 59000
},
{
"epoch": 19.343302990897268,
"grad_norm": 2.2881245613098145,
"learning_rate": 4.05e-05,
"loss": 0.6629,
"step": 59500
},
{
"epoch": 19.343302990897268,
"eval_accuracy": 0.8536284370228246,
"eval_loss": 0.8575323820114136,
"eval_runtime": 225.6251,
"eval_samples_per_second": 90.566,
"eval_steps_per_second": 2.832,
"step": 59500
},
{
"epoch": 19.505851755526656,
"grad_norm": 2.485198497772217,
"learning_rate": 4e-05,
"loss": 0.6629,
"step": 60000
},
{
"epoch": 19.505851755526656,
"eval_accuracy": 0.8541063694677179,
"eval_loss": 0.8660362958908081,
"eval_runtime": 229.1829,
"eval_samples_per_second": 89.16,
"eval_steps_per_second": 2.788,
"step": 60000
},
{
"epoch": 19.668400520156048,
"grad_norm": 2.365445375442505,
"learning_rate": 3.9500000000000005e-05,
"loss": 0.6636,
"step": 60500
},
{
"epoch": 19.668400520156048,
"eval_accuracy": 0.8544101305781451,
"eval_loss": 0.8751095533370972,
"eval_runtime": 226.4875,
"eval_samples_per_second": 90.221,
"eval_steps_per_second": 2.821,
"step": 60500
},
{
"epoch": 19.830949284785437,
"grad_norm": 2.7341248989105225,
"learning_rate": 3.9000000000000006e-05,
"loss": 0.6668,
"step": 61000
},
{
"epoch": 19.830949284785437,
"eval_accuracy": 0.8538102982406334,
"eval_loss": 0.8749545812606812,
"eval_runtime": 225.3871,
"eval_samples_per_second": 90.662,
"eval_steps_per_second": 2.835,
"step": 61000
},
{
"epoch": 19.993498049414825,
"grad_norm": 2.200584888458252,
"learning_rate": 3.85e-05,
"loss": 0.6658,
"step": 61500
},
{
"epoch": 19.993498049414825,
"eval_accuracy": 0.8542889960446646,
"eval_loss": 0.8671930432319641,
"eval_runtime": 225.4174,
"eval_samples_per_second": 90.65,
"eval_steps_per_second": 2.835,
"step": 61500
},
{
"epoch": 20.156046814044213,
"grad_norm": 2.7894246578216553,
"learning_rate": 3.8e-05,
"loss": 0.6616,
"step": 62000
},
{
"epoch": 20.156046814044213,
"eval_accuracy": 0.8548723750905142,
"eval_loss": 0.8662538528442383,
"eval_runtime": 224.781,
"eval_samples_per_second": 90.906,
"eval_steps_per_second": 2.843,
"step": 62000
},
{
"epoch": 20.3185955786736,
"grad_norm": 2.3690404891967773,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.6541,
"step": 62500
},
{
"epoch": 20.3185955786736,
"eval_accuracy": 0.8550845489091575,
"eval_loss": 0.865816593170166,
"eval_runtime": 228.0119,
"eval_samples_per_second": 89.618,
"eval_steps_per_second": 2.802,
"step": 62500
},
{
"epoch": 20.48114434330299,
"grad_norm": 2.6345200538635254,
"learning_rate": 3.7e-05,
"loss": 0.6561,
"step": 63000
},
{
"epoch": 20.48114434330299,
"eval_accuracy": 0.8558111308868751,
"eval_loss": 0.8506866097450256,
"eval_runtime": 225.0923,
"eval_samples_per_second": 90.781,
"eval_steps_per_second": 2.839,
"step": 63000
},
{
"epoch": 20.64369310793238,
"grad_norm": 2.1237897872924805,
"learning_rate": 3.65e-05,
"loss": 0.6578,
"step": 63500
},
{
"epoch": 20.64369310793238,
"eval_accuracy": 0.8554877275609093,
"eval_loss": 0.8685211539268494,
"eval_runtime": 225.3889,
"eval_samples_per_second": 90.661,
"eval_steps_per_second": 2.835,
"step": 63500
},
{
"epoch": 20.806241872561767,
"grad_norm": 2.37259578704834,
"learning_rate": 3.6e-05,
"loss": 0.657,
"step": 64000
},
{
"epoch": 20.806241872561767,
"eval_accuracy": 0.8553885784782709,
"eval_loss": 0.8665293455123901,
"eval_runtime": 225.5872,
"eval_samples_per_second": 90.581,
"eval_steps_per_second": 2.833,
"step": 64000
},
{
"epoch": 20.96879063719116,
"grad_norm": 2.595446825027466,
"learning_rate": 3.55e-05,
"loss": 0.6495,
"step": 64500
},
{
"epoch": 20.96879063719116,
"eval_accuracy": 0.8558350742146078,
"eval_loss": 0.8600612878799438,
"eval_runtime": 225.3383,
"eval_samples_per_second": 90.681,
"eval_steps_per_second": 2.836,
"step": 64500
},
{
"epoch": 21.131339401820547,
"grad_norm": 2.689633846282959,
"learning_rate": 3.5e-05,
"loss": 0.6484,
"step": 65000
},
{
"epoch": 21.131339401820547,
"eval_accuracy": 0.8563225017454439,
"eval_loss": 0.8686124086380005,
"eval_runtime": 225.5265,
"eval_samples_per_second": 90.606,
"eval_steps_per_second": 2.833,
"step": 65000
},
{
"epoch": 21.293888166449936,
"grad_norm": 2.4909982681274414,
"learning_rate": 3.45e-05,
"loss": 0.6429,
"step": 65500
},
{
"epoch": 21.293888166449936,
"eval_accuracy": 0.8557131214639457,
"eval_loss": 0.86305832862854,
"eval_runtime": 225.2213,
"eval_samples_per_second": 90.729,
"eval_steps_per_second": 2.837,
"step": 65500
},
{
"epoch": 21.456436931079324,
"grad_norm": 2.7555160522460938,
"learning_rate": 3.4000000000000007e-05,
"loss": 0.6523,
"step": 66000
},
{
"epoch": 21.456436931079324,
"eval_accuracy": 0.8565990504258199,
"eval_loss": 0.8672294616699219,
"eval_runtime": 225.3745,
"eval_samples_per_second": 90.667,
"eval_steps_per_second": 2.835,
"step": 66000
},
{
"epoch": 21.618985695708712,
"grad_norm": 2.4315414428710938,
"learning_rate": 3.35e-05,
"loss": 0.6384,
"step": 66500
},
{
"epoch": 21.618985695708712,
"eval_accuracy": 0.8567521705315332,
"eval_loss": 0.8545786738395691,
"eval_runtime": 226.5184,
"eval_samples_per_second": 90.209,
"eval_steps_per_second": 2.821,
"step": 66500
},
{
"epoch": 21.7815344603381,
"grad_norm": 2.373359441757202,
"learning_rate": 3.3e-05,
"loss": 0.6512,
"step": 67000
},
{
"epoch": 21.7815344603381,
"eval_accuracy": 0.8568411511443462,
"eval_loss": 0.8615005612373352,
"eval_runtime": 226.7483,
"eval_samples_per_second": 90.118,
"eval_steps_per_second": 2.818,
"step": 67000
},
{
"epoch": 21.94408322496749,
"grad_norm": 2.5687010288238525,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.6452,
"step": 67500
},
{
"epoch": 21.94408322496749,
"eval_accuracy": 0.856976936965993,
"eval_loss": 0.8514290452003479,
"eval_runtime": 224.8277,
"eval_samples_per_second": 90.887,
"eval_steps_per_second": 2.842,
"step": 67500
},
{
"epoch": 22.106631989596877,
"grad_norm": 2.3000574111938477,
"learning_rate": 3.2000000000000005e-05,
"loss": 0.6388,
"step": 68000
},
{
"epoch": 22.106631989596877,
"eval_accuracy": 0.8576112543945463,
"eval_loss": 0.8523911833763123,
"eval_runtime": 225.5646,
"eval_samples_per_second": 90.59,
"eval_steps_per_second": 2.833,
"step": 68000
},
{
"epoch": 22.26918075422627,
"grad_norm": 2.5039753913879395,
"learning_rate": 3.15e-05,
"loss": 0.6382,
"step": 68500
},
{
"epoch": 22.26918075422627,
"eval_accuracy": 0.8567441321838508,
"eval_loss": 0.8560938835144043,
"eval_runtime": 226.9717,
"eval_samples_per_second": 90.029,
"eval_steps_per_second": 2.815,
"step": 68500
},
{
"epoch": 22.431729518855658,
"grad_norm": 2.6623408794403076,
"learning_rate": 3.1e-05,
"loss": 0.6408,
"step": 69000
},
{
"epoch": 22.431729518855658,
"eval_accuracy": 0.8576559655770156,
"eval_loss": 0.854763925075531,
"eval_runtime": 226.0318,
"eval_samples_per_second": 90.403,
"eval_steps_per_second": 2.827,
"step": 69000
},
{
"epoch": 22.594278283485046,
"grad_norm": 2.3223702907562256,
"learning_rate": 3.05e-05,
"loss": 0.6433,
"step": 69500
},
{
"epoch": 22.594278283485046,
"eval_accuracy": 0.8581642158372993,
"eval_loss": 0.8585615754127502,
"eval_runtime": 225.6463,
"eval_samples_per_second": 90.558,
"eval_steps_per_second": 2.832,
"step": 69500
},
{
"epoch": 22.756827048114435,
"grad_norm": 2.545360803604126,
"learning_rate": 3e-05,
"loss": 0.6371,
"step": 70000
},
{
"epoch": 22.756827048114435,
"eval_accuracy": 0.8583454058165224,
"eval_loss": 0.8482581973075867,
"eval_runtime": 225.5921,
"eval_samples_per_second": 90.579,
"eval_steps_per_second": 2.833,
"step": 70000
},
{
"epoch": 22.919375812743823,
"grad_norm": 2.18627667427063,
"learning_rate": 2.95e-05,
"loss": 0.6331,
"step": 70500
},
{
"epoch": 22.919375812743823,
"eval_accuracy": 0.857949745807387,
"eval_loss": 0.8507857918739319,
"eval_runtime": 226.8073,
"eval_samples_per_second": 90.094,
"eval_steps_per_second": 2.817,
"step": 70500
},
{
"epoch": 23.08192457737321,
"grad_norm": 2.8513870239257812,
"learning_rate": 2.9e-05,
"loss": 0.6393,
"step": 71000
},
{
"epoch": 23.08192457737321,
"eval_accuracy": 0.8573411368207433,
"eval_loss": 0.8502649664878845,
"eval_runtime": 227.8606,
"eval_samples_per_second": 89.678,
"eval_steps_per_second": 2.804,
"step": 71000
},
{
"epoch": 23.2444733420026,
"grad_norm": 2.961089611053467,
"learning_rate": 2.8499999999999998e-05,
"loss": 0.6269,
"step": 71500
},
{
"epoch": 23.2444733420026,
"eval_accuracy": 0.8582647966293633,
"eval_loss": 0.8488523364067078,
"eval_runtime": 226.4431,
"eval_samples_per_second": 90.239,
"eval_steps_per_second": 2.822,
"step": 71500
},
{
"epoch": 23.407022106631988,
"grad_norm": 2.448005437850952,
"learning_rate": 2.8000000000000003e-05,
"loss": 0.6284,
"step": 72000
},
{
"epoch": 23.407022106631988,
"eval_accuracy": 0.8588356517259145,
"eval_loss": 0.8428735136985779,
"eval_runtime": 226.3587,
"eval_samples_per_second": 90.273,
"eval_steps_per_second": 2.823,
"step": 72000
},
{
"epoch": 23.56957087126138,
"grad_norm": 2.4801974296569824,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.6311,
"step": 72500
},
{
"epoch": 23.56957087126138,
"eval_accuracy": 0.8585083391102231,
"eval_loss": 0.8391257524490356,
"eval_runtime": 225.3955,
"eval_samples_per_second": 90.658,
"eval_steps_per_second": 2.835,
"step": 72500
},
{
"epoch": 23.73211963589077,
"grad_norm": 2.4415576457977295,
"learning_rate": 2.7000000000000002e-05,
"loss": 0.6333,
"step": 73000
},
{
"epoch": 23.73211963589077,
"eval_accuracy": 0.8584229812472617,
"eval_loss": 0.8474059104919434,
"eval_runtime": 226.7984,
"eval_samples_per_second": 90.098,
"eval_steps_per_second": 2.817,
"step": 73000
},
{
"epoch": 23.894668400520157,
"grad_norm": 2.5334153175354004,
"learning_rate": 2.6500000000000004e-05,
"loss": 0.6291,
"step": 73500
},
{
"epoch": 23.894668400520157,
"eval_accuracy": 0.8590801539747378,
"eval_loss": 0.837401270866394,
"eval_runtime": 225.1842,
"eval_samples_per_second": 90.743,
"eval_steps_per_second": 2.838,
"step": 73500
},
{
"epoch": 24.057217165149545,
"grad_norm": 2.569241762161255,
"learning_rate": 2.6000000000000002e-05,
"loss": 0.6255,
"step": 74000
},
{
"epoch": 24.057217165149545,
"eval_accuracy": 0.8589290048653603,
"eval_loss": 0.8332562446594238,
"eval_runtime": 229.3684,
"eval_samples_per_second": 89.088,
"eval_steps_per_second": 2.786,
"step": 74000
},
{
"epoch": 24.219765929778934,
"grad_norm": 2.526848316192627,
"learning_rate": 2.5500000000000003e-05,
"loss": 0.6236,
"step": 74500
},
{
"epoch": 24.219765929778934,
"eval_accuracy": 0.8597087528316705,
"eval_loss": 0.848160445690155,
"eval_runtime": 226.4635,
"eval_samples_per_second": 90.231,
"eval_steps_per_second": 2.822,
"step": 74500
},
{
"epoch": 24.382314694408322,
"grad_norm": 2.655872106552124,
"learning_rate": 2.5e-05,
"loss": 0.624,
"step": 75000
},
{
"epoch": 24.382314694408322,
"eval_accuracy": 0.8598462984123302,
"eval_loss": 0.8461793065071106,
"eval_runtime": 225.3124,
"eval_samples_per_second": 90.692,
"eval_steps_per_second": 2.836,
"step": 75000
},
{
"epoch": 24.54486345903771,
"grad_norm": 2.109790325164795,
"learning_rate": 2.45e-05,
"loss": 0.6178,
"step": 75500
},
{
"epoch": 24.54486345903771,
"eval_accuracy": 0.8595766101602678,
"eval_loss": 0.8289109468460083,
"eval_runtime": 226.5489,
"eval_samples_per_second": 90.197,
"eval_steps_per_second": 2.821,
"step": 75500
},
{
"epoch": 24.7074122236671,
"grad_norm": 2.4060940742492676,
"learning_rate": 2.4e-05,
"loss": 0.6166,
"step": 76000
},
{
"epoch": 24.7074122236671,
"eval_accuracy": 0.8606532868210031,
"eval_loss": 0.8234532475471497,
"eval_runtime": 225.3276,
"eval_samples_per_second": 90.686,
"eval_steps_per_second": 2.836,
"step": 76000
},
{
"epoch": 24.86996098829649,
"grad_norm": 2.24013352394104,
"learning_rate": 2.35e-05,
"loss": 0.6247,
"step": 76500
},
{
"epoch": 24.86996098829649,
"eval_accuracy": 0.8600803414966184,
"eval_loss": 0.8327089548110962,
"eval_runtime": 227.0917,
"eval_samples_per_second": 89.981,
"eval_steps_per_second": 2.814,
"step": 76500
},
{
"epoch": 25.03250975292588,
"grad_norm": 2.370615005493164,
"learning_rate": 2.3000000000000003e-05,
"loss": 0.624,
"step": 77000
},
{
"epoch": 25.03250975292588,
"eval_accuracy": 0.8600759552685691,
"eval_loss": 0.8379160761833191,
"eval_runtime": 224.9721,
"eval_samples_per_second": 90.829,
"eval_steps_per_second": 2.84,
"step": 77000
},
{
"epoch": 25.195058517555267,
"grad_norm": 2.192373514175415,
"learning_rate": 2.25e-05,
"loss": 0.6161,
"step": 77500
},
{
"epoch": 25.195058517555267,
"eval_accuracy": 0.8597079760637308,
"eval_loss": 0.8407602906227112,
"eval_runtime": 225.6861,
"eval_samples_per_second": 90.542,
"eval_steps_per_second": 2.831,
"step": 77500
},
{
"epoch": 25.357607282184656,
"grad_norm": 2.4751832485198975,
"learning_rate": 2.2000000000000003e-05,
"loss": 0.6142,
"step": 78000
},
{
"epoch": 25.357607282184656,
"eval_accuracy": 0.8608490074683309,
"eval_loss": 0.8316988348960876,
"eval_runtime": 225.4697,
"eval_samples_per_second": 90.629,
"eval_steps_per_second": 2.834,
"step": 78000
},
{
"epoch": 25.520156046814044,
"grad_norm": 2.737602472305298,
"learning_rate": 2.15e-05,
"loss": 0.6193,
"step": 78500
},
{
"epoch": 25.520156046814044,
"eval_accuracy": 0.860743624097801,
"eval_loss": 0.8356801867485046,
"eval_runtime": 226.5781,
"eval_samples_per_second": 90.185,
"eval_steps_per_second": 2.82,
"step": 78500
},
{
"epoch": 25.682704811443433,
"grad_norm": 2.1464016437530518,
"learning_rate": 2.1e-05,
"loss": 0.6117,
"step": 79000
},
{
"epoch": 25.682704811443433,
"eval_accuracy": 0.8607643217464414,
"eval_loss": 0.8443505167961121,
"eval_runtime": 225.3999,
"eval_samples_per_second": 90.657,
"eval_steps_per_second": 2.835,
"step": 79000
},
{
"epoch": 25.84525357607282,
"grad_norm": 2.244690418243408,
"learning_rate": 2.05e-05,
"loss": 0.6155,
"step": 79500
},
{
"epoch": 25.84525357607282,
"eval_accuracy": 0.8608062892739589,
"eval_loss": 0.8309040665626526,
"eval_runtime": 227.6535,
"eval_samples_per_second": 89.759,
"eval_steps_per_second": 2.807,
"step": 79500
},
{
"epoch": 26.00780234070221,
"grad_norm": 2.2778093814849854,
"learning_rate": 2e-05,
"loss": 0.6159,
"step": 80000
},
{
"epoch": 26.00780234070221,
"eval_accuracy": 0.860849372733563,
"eval_loss": 0.8468282222747803,
"eval_runtime": 226.4415,
"eval_samples_per_second": 90.24,
"eval_steps_per_second": 2.822,
"step": 80000
},
{
"epoch": 26.170351105331598,
"grad_norm": 2.04994535446167,
"learning_rate": 1.9500000000000003e-05,
"loss": 0.6095,
"step": 80500
},
{
"epoch": 26.170351105331598,
"eval_accuracy": 0.8617138336966451,
"eval_loss": 0.8285297155380249,
"eval_runtime": 224.8524,
"eval_samples_per_second": 90.877,
"eval_steps_per_second": 2.842,
"step": 80500
},
{
"epoch": 26.33289986996099,
"grad_norm": 2.437809944152832,
"learning_rate": 1.9e-05,
"loss": 0.6105,
"step": 81000
},
{
"epoch": 26.33289986996099,
"eval_accuracy": 0.8610518577000663,
"eval_loss": 0.8272110223770142,
"eval_runtime": 225.6868,
"eval_samples_per_second": 90.541,
"eval_steps_per_second": 2.831,
"step": 81000
},
{
"epoch": 26.495448634590378,
"grad_norm": 2.2250375747680664,
"learning_rate": 1.85e-05,
"loss": 0.6087,
"step": 81500
},
{
"epoch": 26.495448634590378,
"eval_accuracy": 0.8626399458651031,
"eval_loss": 0.812351644039154,
"eval_runtime": 226.8612,
"eval_samples_per_second": 90.073,
"eval_steps_per_second": 2.817,
"step": 81500
},
{
"epoch": 26.657997399219767,
"grad_norm": 2.060518980026245,
"learning_rate": 1.8e-05,
"loss": 0.6151,
"step": 82000
},
{
"epoch": 26.657997399219767,
"eval_accuracy": 0.8616146515518304,
"eval_loss": 0.8262282609939575,
"eval_runtime": 226.3417,
"eval_samples_per_second": 90.279,
"eval_steps_per_second": 2.823,
"step": 82000
},
{
"epoch": 26.820546163849155,
"grad_norm": 2.0575308799743652,
"learning_rate": 1.75e-05,
"loss": 0.6095,
"step": 82500
},
{
"epoch": 26.820546163849155,
"eval_accuracy": 0.8622129077230878,
"eval_loss": 0.8227624893188477,
"eval_runtime": 228.246,
"eval_samples_per_second": 89.526,
"eval_steps_per_second": 2.8,
"step": 82500
},
{
"epoch": 26.983094928478543,
"grad_norm": 2.253310203552246,
"learning_rate": 1.7000000000000003e-05,
"loss": 0.6,
"step": 83000
},
{
"epoch": 26.983094928478543,
"eval_accuracy": 0.8627496487013281,
"eval_loss": 0.8195393085479736,
"eval_runtime": 226.7315,
"eval_samples_per_second": 90.124,
"eval_steps_per_second": 2.818,
"step": 83000
},
{
"epoch": 27.14564369310793,
"grad_norm": 2.459129810333252,
"learning_rate": 1.65e-05,
"loss": 0.6013,
"step": 83500
},
{
"epoch": 27.14564369310793,
"eval_accuracy": 0.8624795555933904,
"eval_loss": 0.8182792663574219,
"eval_runtime": 225.0241,
"eval_samples_per_second": 90.808,
"eval_steps_per_second": 2.84,
"step": 83500
},
{
"epoch": 27.30819245773732,
"grad_norm": 2.1593105792999268,
"learning_rate": 1.6000000000000003e-05,
"loss": 0.6001,
"step": 84000
},
{
"epoch": 27.30819245773732,
"eval_accuracy": 0.8627880443457693,
"eval_loss": 0.8216105103492737,
"eval_runtime": 224.8609,
"eval_samples_per_second": 90.874,
"eval_steps_per_second": 2.842,
"step": 84000
},
{
"epoch": 27.47074122236671,
"grad_norm": 2.086055040359497,
"learning_rate": 1.55e-05,
"loss": 0.6013,
"step": 84500
},
{
"epoch": 27.47074122236671,
"eval_accuracy": 0.8621898394825607,
"eval_loss": 0.8210575580596924,
"eval_runtime": 226.231,
"eval_samples_per_second": 90.324,
"eval_steps_per_second": 2.825,
"step": 84500
},
{
"epoch": 27.6332899869961,
"grad_norm": 2.5327186584472656,
"learning_rate": 1.5e-05,
"loss": 0.6058,
"step": 85000
},
{
"epoch": 27.6332899869961,
"eval_accuracy": 0.8627229258499225,
"eval_loss": 0.8185027241706848,
"eval_runtime": 226.1064,
"eval_samples_per_second": 90.373,
"eval_steps_per_second": 2.826,
"step": 85000
},
{
"epoch": 27.79583875162549,
"grad_norm": 2.3839502334594727,
"learning_rate": 1.45e-05,
"loss": 0.6042,
"step": 85500
},
{
"epoch": 27.79583875162549,
"eval_accuracy": 0.8627582312704439,
"eval_loss": 0.8231362104415894,
"eval_runtime": 228.8409,
"eval_samples_per_second": 89.293,
"eval_steps_per_second": 2.792,
"step": 85500
},
{
"epoch": 27.958387516254877,
"grad_norm": 2.195699691772461,
"learning_rate": 1.4000000000000001e-05,
"loss": 0.5997,
"step": 86000
},
{
"epoch": 27.958387516254877,
"eval_accuracy": 0.8631414086547167,
"eval_loss": 0.8138222694396973,
"eval_runtime": 225.1659,
"eval_samples_per_second": 90.751,
"eval_steps_per_second": 2.838,
"step": 86000
},
{
"epoch": 28.120936280884266,
"grad_norm": 2.942133665084839,
"learning_rate": 1.3500000000000001e-05,
"loss": 0.5976,
"step": 86500
},
{
"epoch": 28.120936280884266,
"eval_accuracy": 0.8629241152120203,
"eval_loss": 0.8277115225791931,
"eval_runtime": 226.384,
"eval_samples_per_second": 90.263,
"eval_steps_per_second": 2.823,
"step": 86500
},
{
"epoch": 28.283485045513654,
"grad_norm": 2.2104339599609375,
"learning_rate": 1.3000000000000001e-05,
"loss": 0.6005,
"step": 87000
},
{
"epoch": 28.283485045513654,
"eval_accuracy": 0.8635328035684335,
"eval_loss": 0.8249954581260681,
"eval_runtime": 225.8607,
"eval_samples_per_second": 90.472,
"eval_steps_per_second": 2.829,
"step": 87000
},
{
"epoch": 28.446033810143042,
"grad_norm": 2.4792349338531494,
"learning_rate": 1.25e-05,
"loss": 0.5964,
"step": 87500
},
{
"epoch": 28.446033810143042,
"eval_accuracy": 0.8631331114250733,
"eval_loss": 0.8169623613357544,
"eval_runtime": 224.4723,
"eval_samples_per_second": 91.031,
"eval_steps_per_second": 2.847,
"step": 87500
},
{
"epoch": 28.60858257477243,
"grad_norm": 2.2584621906280518,
"learning_rate": 1.2e-05,
"loss": 0.5978,
"step": 88000
},
{
"epoch": 28.60858257477243,
"eval_accuracy": 0.8637502162788443,
"eval_loss": 0.8240325450897217,
"eval_runtime": 226.0844,
"eval_samples_per_second": 90.382,
"eval_steps_per_second": 2.826,
"step": 88000
},
{
"epoch": 28.77113133940182,
"grad_norm": 2.4756360054016113,
"learning_rate": 1.1500000000000002e-05,
"loss": 0.5933,
"step": 88500
},
{
"epoch": 28.77113133940182,
"eval_accuracy": 0.863286343484686,
"eval_loss": 0.821010947227478,
"eval_runtime": 233.6708,
"eval_samples_per_second": 87.448,
"eval_steps_per_second": 2.735,
"step": 88500
},
{
"epoch": 28.93368010403121,
"grad_norm": 2.4466359615325928,
"learning_rate": 1.1000000000000001e-05,
"loss": 0.595,
"step": 89000
},
{
"epoch": 28.93368010403121,
"eval_accuracy": 0.8634251119288006,
"eval_loss": 0.821042001247406,
"eval_runtime": 225.7222,
"eval_samples_per_second": 90.527,
"eval_steps_per_second": 2.831,
"step": 89000
},
{
"epoch": 29.0962288686606,
"grad_norm": 2.5361807346343994,
"learning_rate": 1.05e-05,
"loss": 0.5941,
"step": 89500
},
{
"epoch": 29.0962288686606,
"eval_accuracy": 0.8634033694143568,
"eval_loss": 0.8251069188117981,
"eval_runtime": 226.448,
"eval_samples_per_second": 90.237,
"eval_steps_per_second": 2.822,
"step": 89500
},
{
"epoch": 29.258777633289988,
"grad_norm": 2.5238239765167236,
"learning_rate": 1e-05,
"loss": 0.5988,
"step": 90000
},
{
"epoch": 29.258777633289988,
"eval_accuracy": 0.8638910896653752,
"eval_loss": 0.8146407604217529,
"eval_runtime": 222.0422,
"eval_samples_per_second": 92.028,
"eval_steps_per_second": 2.878,
"step": 90000
},
{
"epoch": 29.421326397919376,
"grad_norm": 2.291041851043701,
"learning_rate": 9.5e-06,
"loss": 0.5923,
"step": 90500
},
{
"epoch": 29.421326397919376,
"eval_accuracy": 0.8637874627536761,
"eval_loss": 0.8178155422210693,
"eval_runtime": 221.0933,
"eval_samples_per_second": 92.423,
"eval_steps_per_second": 2.89,
"step": 90500
},
{
"epoch": 29.583875162548765,
"grad_norm": 2.601836681365967,
"learning_rate": 9e-06,
"loss": 0.5887,
"step": 91000
},
{
"epoch": 29.583875162548765,
"eval_accuracy": 0.864438274609619,
"eval_loss": 0.8162264823913574,
"eval_runtime": 228.6953,
"eval_samples_per_second": 89.35,
"eval_steps_per_second": 2.794,
"step": 91000
},
{
"epoch": 29.746423927178153,
"grad_norm": 2.56785249710083,
"learning_rate": 8.500000000000002e-06,
"loss": 0.5833,
"step": 91500
},
{
"epoch": 29.746423927178153,
"eval_accuracy": 0.8640183304537222,
"eval_loss": 0.8157439827919006,
"eval_runtime": 224.1585,
"eval_samples_per_second": 91.159,
"eval_steps_per_second": 2.851,
"step": 91500
},
{
"epoch": 29.90897269180754,
"grad_norm": 2.409670114517212,
"learning_rate": 8.000000000000001e-06,
"loss": 0.5951,
"step": 92000
},
{
"epoch": 29.90897269180754,
"eval_accuracy": 0.8643441985332161,
"eval_loss": 0.812107264995575,
"eval_runtime": 221.533,
"eval_samples_per_second": 92.239,
"eval_steps_per_second": 2.884,
"step": 92000
},
{
"epoch": 30.07152145643693,
"grad_norm": 2.19612717628479,
"learning_rate": 7.5e-06,
"loss": 0.5928,
"step": 92500
},
{
"epoch": 30.07152145643693,
"eval_accuracy": 0.8640605097561019,
"eval_loss": 0.8203216791152954,
"eval_runtime": 221.1524,
"eval_samples_per_second": 92.398,
"eval_steps_per_second": 2.889,
"step": 92500
},
{
"epoch": 30.234070221066318,
"grad_norm": 2.249537944793701,
"learning_rate": 7.000000000000001e-06,
"loss": 0.5878,
"step": 93000
},
{
"epoch": 30.234070221066318,
"eval_accuracy": 0.8644494113060075,
"eval_loss": 0.8103818893432617,
"eval_runtime": 221.6978,
"eval_samples_per_second": 92.17,
"eval_steps_per_second": 2.882,
"step": 93000
},
{
"epoch": 30.39661898569571,
"grad_norm": 2.63948917388916,
"learning_rate": 6.5000000000000004e-06,
"loss": 0.5831,
"step": 93500
},
{
"epoch": 30.39661898569571,
"eval_accuracy": 0.8646731645828304,
"eval_loss": 0.8149096369743347,
"eval_runtime": 231.6244,
"eval_samples_per_second": 88.22,
"eval_steps_per_second": 2.759,
"step": 93500
},
{
"epoch": 30.5591677503251,
"grad_norm": 2.257843494415283,
"learning_rate": 6e-06,
"loss": 0.5922,
"step": 94000
},
{
"epoch": 30.5591677503251,
"eval_accuracy": 0.8642099290677292,
"eval_loss": 0.8136395215988159,
"eval_runtime": 227.8537,
"eval_samples_per_second": 89.68,
"eval_steps_per_second": 2.804,
"step": 94000
},
{
"epoch": 30.721716514954487,
"grad_norm": 2.54514479637146,
"learning_rate": 5.500000000000001e-06,
"loss": 0.5834,
"step": 94500
},
{
"epoch": 30.721716514954487,
"eval_accuracy": 0.8647608401845014,
"eval_loss": 0.8055408596992493,
"eval_runtime": 222.2677,
"eval_samples_per_second": 91.934,
"eval_steps_per_second": 2.875,
"step": 94500
},
{
"epoch": 30.884265279583875,
"grad_norm": 2.5504415035247803,
"learning_rate": 5e-06,
"loss": 0.5851,
"step": 95000
},
{
"epoch": 30.884265279583875,
"eval_accuracy": 0.8655900321339209,
"eval_loss": 0.8102414011955261,
"eval_runtime": 222.3833,
"eval_samples_per_second": 91.886,
"eval_steps_per_second": 2.873,
"step": 95000
},
{
"epoch": 31.046814044213264,
"grad_norm": 2.5223162174224854,
"learning_rate": 4.5e-06,
"loss": 0.5858,
"step": 95500
},
{
"epoch": 31.046814044213264,
"eval_accuracy": 0.8648693759071118,
"eval_loss": 0.8096651434898376,
"eval_runtime": 222.4149,
"eval_samples_per_second": 91.873,
"eval_steps_per_second": 2.873,
"step": 95500
},
{
"epoch": 31.209362808842652,
"grad_norm": 2.704538583755493,
"learning_rate": 4.000000000000001e-06,
"loss": 0.5854,
"step": 96000
},
{
"epoch": 31.209362808842652,
"eval_accuracy": 0.8643289659912363,
"eval_loss": 0.8139033317565918,
"eval_runtime": 222.3309,
"eval_samples_per_second": 91.908,
"eval_steps_per_second": 2.874,
"step": 96000
},
{
"epoch": 31.37191157347204,
"grad_norm": 2.3286654949188232,
"learning_rate": 3.5000000000000004e-06,
"loss": 0.5809,
"step": 96500
},
{
"epoch": 31.37191157347204,
"eval_accuracy": 0.8655915682628923,
"eval_loss": 0.8057557940483093,
"eval_runtime": 222.7618,
"eval_samples_per_second": 91.73,
"eval_steps_per_second": 2.869,
"step": 96500
},
{
"epoch": 31.53446033810143,
"grad_norm": 2.572178363800049,
"learning_rate": 3e-06,
"loss": 0.5846,
"step": 97000
},
{
"epoch": 31.53446033810143,
"eval_accuracy": 0.8653023190042686,
"eval_loss": 0.8064507842063904,
"eval_runtime": 223.3613,
"eval_samples_per_second": 91.484,
"eval_steps_per_second": 2.861,
"step": 97000
},
{
"epoch": 31.69700910273082,
"grad_norm": 2.4184162616729736,
"learning_rate": 2.5e-06,
"loss": 0.585,
"step": 97500
},
{
"epoch": 31.69700910273082,
"eval_accuracy": 0.8657269498564959,
"eval_loss": 0.7961297631263733,
"eval_runtime": 225.1117,
"eval_samples_per_second": 90.773,
"eval_steps_per_second": 2.839,
"step": 97500
},
{
"epoch": 31.85955786736021,
"grad_norm": 2.121875047683716,
"learning_rate": 2.0000000000000003e-06,
"loss": 0.588,
"step": 98000
},
{
"epoch": 31.85955786736021,
"eval_accuracy": 0.8654759221390312,
"eval_loss": 0.7994445562362671,
"eval_runtime": 222.5184,
"eval_samples_per_second": 91.831,
"eval_steps_per_second": 2.872,
"step": 98000
},
{
"epoch": 32.022106631989594,
"grad_norm": 2.2691831588745117,
"learning_rate": 1.5e-06,
"loss": 0.58,
"step": 98500
},
{
"epoch": 32.022106631989594,
"eval_accuracy": 0.8651082523885062,
"eval_loss": 0.8115944266319275,
"eval_runtime": 222.6443,
"eval_samples_per_second": 91.779,
"eval_steps_per_second": 2.87,
"step": 98500
},
{
"epoch": 32.184655396618986,
"grad_norm": 2.047391891479492,
"learning_rate": 1.0000000000000002e-06,
"loss": 0.5776,
"step": 99000
},
{
"epoch": 32.184655396618986,
"eval_accuracy": 0.8659600453633429,
"eval_loss": 0.8002920150756836,
"eval_runtime": 223.1406,
"eval_samples_per_second": 91.575,
"eval_steps_per_second": 2.864,
"step": 99000
},
{
"epoch": 32.34720416124838,
"grad_norm": 2.4214348793029785,
"learning_rate": 5.000000000000001e-07,
"loss": 0.581,
"step": 99500
},
{
"epoch": 32.34720416124838,
"eval_accuracy": 0.8655375271936185,
"eval_loss": 0.7950243949890137,
"eval_runtime": 240.505,
"eval_samples_per_second": 84.963,
"eval_steps_per_second": 2.657,
"step": 99500
}
],
"logging_steps": 500,
"max_steps": 100000,
"num_input_tokens_seen": 0,
"num_train_epochs": 33,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 8.401908931210772e+17,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}