ICL-Classifier / trainer_state.json
NicolaiSivesind's picture
Upload 11 files
38dc20a verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 5.390835579514825,
"eval_steps": 30,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.08086253369272237,
"eval_accuracy": 0.34545454545454546,
"eval_f1": 0.08213880790411401,
"eval_loss": 1.7152690887451172,
"eval_precision": 0.12064459930313588,
"eval_recall": 0.14761904761904762,
"eval_runtime": 13.6508,
"eval_samples_per_second": 24.174,
"eval_steps_per_second": 3.077,
"step": 30
},
{
"epoch": 0.16172506738544473,
"eval_accuracy": 0.4393939393939394,
"eval_f1": 0.21690145794050794,
"eval_loss": 1.5937703847885132,
"eval_precision": 0.32583090861779385,
"eval_recall": 0.25099255283137484,
"eval_runtime": 13.1278,
"eval_samples_per_second": 25.137,
"eval_steps_per_second": 3.199,
"step": 60
},
{
"epoch": 0.24258760107816713,
"eval_accuracy": 0.38181818181818183,
"eval_f1": 0.13698374256214413,
"eval_loss": 1.5304551124572754,
"eval_precision": 0.23018433179723502,
"eval_recall": 0.17921977437427894,
"eval_runtime": 13.0828,
"eval_samples_per_second": 25.224,
"eval_steps_per_second": 3.21,
"step": 90
},
{
"epoch": 0.32345013477088946,
"eval_accuracy": 0.37575757575757573,
"eval_f1": 0.13802749957562382,
"eval_loss": 1.6096415519714355,
"eval_precision": 0.1890046674322801,
"eval_recall": 0.18045360027080612,
"eval_runtime": 13.3288,
"eval_samples_per_second": 24.758,
"eval_steps_per_second": 3.151,
"step": 120
},
{
"epoch": 0.40431266846361186,
"eval_accuracy": 0.45151515151515154,
"eval_f1": 0.23452986300450943,
"eval_loss": 1.4274822473526,
"eval_precision": 0.38950040524911433,
"eval_recall": 0.27641592488584005,
"eval_runtime": 13.4187,
"eval_samples_per_second": 24.593,
"eval_steps_per_second": 3.13,
"step": 150
},
{
"epoch": 0.48517520215633425,
"eval_accuracy": 0.5424242424242425,
"eval_f1": 0.327924405270561,
"eval_loss": 1.2386934757232666,
"eval_precision": 0.35548957287833166,
"eval_recall": 0.35121955898274004,
"eval_runtime": 14.6075,
"eval_samples_per_second": 22.591,
"eval_steps_per_second": 2.875,
"step": 180
},
{
"epoch": 0.5660377358490566,
"eval_accuracy": 0.41818181818181815,
"eval_f1": 0.2642022704662224,
"eval_loss": 1.7232695817947388,
"eval_precision": 0.440507406905074,
"eval_recall": 0.29508974215683664,
"eval_runtime": 14.2568,
"eval_samples_per_second": 23.147,
"eval_steps_per_second": 2.946,
"step": 210
},
{
"epoch": 0.6469002695417789,
"eval_accuracy": 0.5575757575757576,
"eval_f1": 0.36732006348386254,
"eval_loss": 1.1753942966461182,
"eval_precision": 0.43188775510204075,
"eval_recall": 0.36647921681366585,
"eval_runtime": 13.3212,
"eval_samples_per_second": 24.772,
"eval_steps_per_second": 3.153,
"step": 240
},
{
"epoch": 0.7277628032345014,
"eval_accuracy": 0.5393939393939394,
"eval_f1": 0.32937378728076405,
"eval_loss": 1.2770304679870605,
"eval_precision": 0.39731428747888,
"eval_recall": 0.32973768555006505,
"eval_runtime": 13.2685,
"eval_samples_per_second": 24.871,
"eval_steps_per_second": 3.165,
"step": 270
},
{
"epoch": 0.8086253369272237,
"eval_accuracy": 0.5606060606060606,
"eval_f1": 0.3439473243062972,
"eval_loss": 1.2049232721328735,
"eval_precision": 0.4835807771246264,
"eval_recall": 0.33995508230465793,
"eval_runtime": 15.2882,
"eval_samples_per_second": 21.585,
"eval_steps_per_second": 2.747,
"step": 300
},
{
"epoch": 0.889487870619946,
"eval_accuracy": 0.5666666666666667,
"eval_f1": 0.394947488354592,
"eval_loss": 1.108344554901123,
"eval_precision": 0.5166598073288214,
"eval_recall": 0.3978135018724203,
"eval_runtime": 14.5889,
"eval_samples_per_second": 22.62,
"eval_steps_per_second": 2.879,
"step": 330
},
{
"epoch": 0.9703504043126685,
"eval_accuracy": 0.6121212121212121,
"eval_f1": 0.428135738050604,
"eval_loss": 1.141391634941101,
"eval_precision": 0.6312669683257919,
"eval_recall": 0.40262976955895236,
"eval_runtime": 12.9679,
"eval_samples_per_second": 25.447,
"eval_steps_per_second": 3.239,
"step": 360
},
{
"epoch": 1.0512129380053907,
"eval_accuracy": 0.603030303030303,
"eval_f1": 0.4038251382972519,
"eval_loss": 1.116855263710022,
"eval_precision": 0.4923091038697975,
"eval_recall": 0.41548484912495504,
"eval_runtime": 13.6567,
"eval_samples_per_second": 24.164,
"eval_steps_per_second": 3.075,
"step": 390
},
{
"epoch": 1.1320754716981132,
"eval_accuracy": 0.5757575757575758,
"eval_f1": 0.41737552463332295,
"eval_loss": 1.13466477394104,
"eval_precision": 0.6076030412164866,
"eval_recall": 0.4208784549569585,
"eval_runtime": 12.847,
"eval_samples_per_second": 25.687,
"eval_steps_per_second": 3.269,
"step": 420
},
{
"epoch": 1.2129380053908356,
"eval_accuracy": 0.603030303030303,
"eval_f1": 0.43365687052323004,
"eval_loss": 1.1254369020462036,
"eval_precision": 0.5694631128061721,
"eval_recall": 0.41092089239472196,
"eval_runtime": 12.8187,
"eval_samples_per_second": 25.744,
"eval_steps_per_second": 3.276,
"step": 450
},
{
"epoch": 1.2938005390835579,
"eval_accuracy": 0.5696969696969697,
"eval_f1": 0.3965291918438572,
"eval_loss": 1.2160786390304565,
"eval_precision": 0.4828996768066082,
"eval_recall": 0.38449281792865353,
"eval_runtime": 14.7332,
"eval_samples_per_second": 22.398,
"eval_steps_per_second": 2.851,
"step": 480
},
{
"epoch": 1.3477088948787062,
"grad_norm": 18.155202865600586,
"learning_rate": 3.876909254267745e-05,
"loss": 1.3924,
"step": 500
},
{
"epoch": 1.3746630727762803,
"eval_accuracy": 0.5424242424242425,
"eval_f1": 0.4319260406224048,
"eval_loss": 1.1475260257720947,
"eval_precision": 0.45103525254505755,
"eval_recall": 0.4340482151274285,
"eval_runtime": 32.076,
"eval_samples_per_second": 10.288,
"eval_steps_per_second": 1.309,
"step": 510
},
{
"epoch": 1.4555256064690028,
"eval_accuracy": 0.5878787878787879,
"eval_f1": 0.3939948328709428,
"eval_loss": 1.1194807291030884,
"eval_precision": 0.608180480837931,
"eval_recall": 0.392683155449795,
"eval_runtime": 110.8563,
"eval_samples_per_second": 2.977,
"eval_steps_per_second": 0.379,
"step": 540
},
{
"epoch": 1.536388140161725,
"eval_accuracy": 0.5818181818181818,
"eval_f1": 0.4490235853265899,
"eval_loss": 1.1963447332382202,
"eval_precision": 0.5116256986573146,
"eval_recall": 0.4377877348363712,
"eval_runtime": 64.5493,
"eval_samples_per_second": 5.112,
"eval_steps_per_second": 0.651,
"step": 570
},
{
"epoch": 1.6172506738544474,
"eval_accuracy": 0.6060606060606061,
"eval_f1": 0.44688978798681084,
"eval_loss": 1.1052302122116089,
"eval_precision": 0.5367127769479213,
"eval_recall": 0.4296217856765177,
"eval_runtime": 71.5496,
"eval_samples_per_second": 4.612,
"eval_steps_per_second": 0.587,
"step": 600
},
{
"epoch": 1.6981132075471699,
"eval_accuracy": 0.5848484848484848,
"eval_f1": 0.46957050415643353,
"eval_loss": 1.108028769493103,
"eval_precision": 0.572241929381981,
"eval_recall": 0.4537304361700488,
"eval_runtime": 12.7244,
"eval_samples_per_second": 25.935,
"eval_steps_per_second": 3.301,
"step": 630
},
{
"epoch": 1.778975741239892,
"eval_accuracy": 0.6212121212121212,
"eval_f1": 0.47748925036798145,
"eval_loss": 1.033095359802246,
"eval_precision": 0.5650004027150538,
"eval_recall": 0.4613483358977623,
"eval_runtime": 13.0381,
"eval_samples_per_second": 25.31,
"eval_steps_per_second": 3.221,
"step": 660
},
{
"epoch": 1.8598382749326146,
"eval_accuracy": 0.6242424242424243,
"eval_f1": 0.4612218625033871,
"eval_loss": 1.0287344455718994,
"eval_precision": 0.5787994888332474,
"eval_recall": 0.4401355279945231,
"eval_runtime": 14.0033,
"eval_samples_per_second": 23.566,
"eval_steps_per_second": 2.999,
"step": 690
},
{
"epoch": 1.940700808625337,
"eval_accuracy": 0.6,
"eval_f1": 0.43355058251543566,
"eval_loss": 1.0855339765548706,
"eval_precision": 0.5482738467345629,
"eval_recall": 0.407901742703353,
"eval_runtime": 14.8086,
"eval_samples_per_second": 22.284,
"eval_steps_per_second": 2.836,
"step": 720
},
{
"epoch": 2.0215633423180592,
"eval_accuracy": 0.6060606060606061,
"eval_f1": 0.4278903186584704,
"eval_loss": 1.0721008777618408,
"eval_precision": 0.6261473906210748,
"eval_recall": 0.400766872593428,
"eval_runtime": 13.33,
"eval_samples_per_second": 24.756,
"eval_steps_per_second": 3.151,
"step": 750
},
{
"epoch": 2.1024258760107815,
"eval_accuracy": 0.5818181818181818,
"eval_f1": 0.46279487414189074,
"eval_loss": 1.0543911457061768,
"eval_precision": 0.4927064392103887,
"eval_recall": 0.4551381887414431,
"eval_runtime": 13.3061,
"eval_samples_per_second": 24.801,
"eval_steps_per_second": 3.156,
"step": 780
},
{
"epoch": 2.183288409703504,
"eval_accuracy": 0.6,
"eval_f1": 0.44787598241263715,
"eval_loss": 1.1306463479995728,
"eval_precision": 0.5029518040278441,
"eval_recall": 0.42696476597535643,
"eval_runtime": 14.7754,
"eval_samples_per_second": 22.334,
"eval_steps_per_second": 2.843,
"step": 810
},
{
"epoch": 2.2641509433962264,
"eval_accuracy": 0.6151515151515151,
"eval_f1": 0.47831287112215076,
"eval_loss": 1.1025209426879883,
"eval_precision": 0.5683183097103888,
"eval_recall": 0.45416730293429747,
"eval_runtime": 14.712,
"eval_samples_per_second": 22.431,
"eval_steps_per_second": 2.855,
"step": 840
},
{
"epoch": 2.3450134770889486,
"eval_accuracy": 0.5848484848484848,
"eval_f1": 0.4612687851809403,
"eval_loss": 1.1565966606140137,
"eval_precision": 0.5073562417803803,
"eval_recall": 0.4593010520365005,
"eval_runtime": 13.517,
"eval_samples_per_second": 24.414,
"eval_steps_per_second": 3.107,
"step": 870
},
{
"epoch": 2.4258760107816713,
"eval_accuracy": 0.5636363636363636,
"eval_f1": 0.45972084178362305,
"eval_loss": 1.2057921886444092,
"eval_precision": 0.5695289983467323,
"eval_recall": 0.461413466501444,
"eval_runtime": 13.0432,
"eval_samples_per_second": 25.301,
"eval_steps_per_second": 3.22,
"step": 900
},
{
"epoch": 2.5067385444743935,
"eval_accuracy": 0.6090909090909091,
"eval_f1": 0.4628685133833875,
"eval_loss": 1.1381313800811768,
"eval_precision": 0.5632985257985258,
"eval_recall": 0.4583315282026837,
"eval_runtime": 14.1243,
"eval_samples_per_second": 23.364,
"eval_steps_per_second": 2.974,
"step": 930
},
{
"epoch": 2.5876010781671157,
"eval_accuracy": 0.6242424242424243,
"eval_f1": 0.4615624143566702,
"eval_loss": 1.0724554061889648,
"eval_precision": 0.5741660836493663,
"eval_recall": 0.4438527652883962,
"eval_runtime": 14.1621,
"eval_samples_per_second": 23.302,
"eval_steps_per_second": 2.966,
"step": 960
},
{
"epoch": 2.6684636118598384,
"eval_accuracy": 0.6060606060606061,
"eval_f1": 0.47087755462465813,
"eval_loss": 1.135140299797058,
"eval_precision": 0.5209651599354117,
"eval_recall": 0.45427047745523014,
"eval_runtime": 14.0682,
"eval_samples_per_second": 23.457,
"eval_steps_per_second": 2.985,
"step": 990
},
{
"epoch": 2.6954177897574123,
"grad_norm": 7.412640571594238,
"learning_rate": 2.75381850853549e-05,
"loss": 0.9741,
"step": 1000
},
{
"epoch": 2.7493261455525606,
"eval_accuracy": 0.6242424242424243,
"eval_f1": 0.4549752385442883,
"eval_loss": 0.9898973703384399,
"eval_precision": 0.5431213833871716,
"eval_recall": 0.44127615017259786,
"eval_runtime": 113.2331,
"eval_samples_per_second": 2.914,
"eval_steps_per_second": 0.371,
"step": 1020
},
{
"epoch": 2.830188679245283,
"eval_accuracy": 0.6212121212121212,
"eval_f1": 0.477029569791836,
"eval_loss": 1.1227794885635376,
"eval_precision": 0.5355122892068706,
"eval_recall": 0.4702582406289971,
"eval_runtime": 22.5487,
"eval_samples_per_second": 14.635,
"eval_steps_per_second": 1.863,
"step": 1050
},
{
"epoch": 2.9110512129380055,
"eval_accuracy": 0.6272727272727273,
"eval_f1": 0.4661588293248819,
"eval_loss": 1.0796787738800049,
"eval_precision": 0.5698680297271846,
"eval_recall": 0.4402755664195842,
"eval_runtime": 142.0116,
"eval_samples_per_second": 2.324,
"eval_steps_per_second": 0.296,
"step": 1080
},
{
"epoch": 2.9919137466307277,
"eval_accuracy": 0.6424242424242425,
"eval_f1": 0.49676860579479715,
"eval_loss": 1.0576601028442383,
"eval_precision": 0.5889560125125319,
"eval_recall": 0.48000300606800994,
"eval_runtime": 25.0835,
"eval_samples_per_second": 13.156,
"eval_steps_per_second": 1.674,
"step": 1110
},
{
"epoch": 3.07277628032345,
"eval_accuracy": 0.6333333333333333,
"eval_f1": 0.5076311071541079,
"eval_loss": 1.1107242107391357,
"eval_precision": 0.5412034459392385,
"eval_recall": 0.4934487547962528,
"eval_runtime": 13.978,
"eval_samples_per_second": 23.608,
"eval_steps_per_second": 3.005,
"step": 1140
},
{
"epoch": 3.1536388140161726,
"eval_accuracy": 0.6515151515151515,
"eval_f1": 0.5186595057636214,
"eval_loss": 1.1433833837509155,
"eval_precision": 0.5322955893403752,
"eval_recall": 0.5121777726730862,
"eval_runtime": 14.8138,
"eval_samples_per_second": 22.277,
"eval_steps_per_second": 2.835,
"step": 1170
},
{
"epoch": 3.234501347708895,
"eval_accuracy": 0.6303030303030303,
"eval_f1": 0.4818021563155342,
"eval_loss": 1.2040390968322754,
"eval_precision": 0.5245503034019318,
"eval_recall": 0.4790353988658817,
"eval_runtime": 14.5347,
"eval_samples_per_second": 22.704,
"eval_steps_per_second": 2.89,
"step": 1200
},
{
"epoch": 3.315363881401617,
"eval_accuracy": 0.6303030303030303,
"eval_f1": 0.5005894502956657,
"eval_loss": 1.106711983680725,
"eval_precision": 0.5347839031818471,
"eval_recall": 0.49606350872380334,
"eval_runtime": 14.5181,
"eval_samples_per_second": 22.73,
"eval_steps_per_second": 2.893,
"step": 1230
},
{
"epoch": 3.3962264150943398,
"eval_accuracy": 0.6363636363636364,
"eval_f1": 0.49230222929692463,
"eval_loss": 1.100297451019287,
"eval_precision": 0.5613737992397406,
"eval_recall": 0.48222645824949406,
"eval_runtime": 14.6402,
"eval_samples_per_second": 22.541,
"eval_steps_per_second": 2.869,
"step": 1260
},
{
"epoch": 3.477088948787062,
"eval_accuracy": 0.603030303030303,
"eval_f1": 0.48380416653626124,
"eval_loss": 1.1756219863891602,
"eval_precision": 0.5033237551313431,
"eval_recall": 0.4908017943866942,
"eval_runtime": 13.454,
"eval_samples_per_second": 24.528,
"eval_steps_per_second": 3.122,
"step": 1290
},
{
"epoch": 3.557951482479784,
"eval_accuracy": 0.6060606060606061,
"eval_f1": 0.4764702057860691,
"eval_loss": 1.1003729104995728,
"eval_precision": 0.5288839860268432,
"eval_recall": 0.4590755558938861,
"eval_runtime": 12.5627,
"eval_samples_per_second": 26.268,
"eval_steps_per_second": 3.343,
"step": 1320
},
{
"epoch": 3.638814016172507,
"eval_accuracy": 0.593939393939394,
"eval_f1": 0.487375493221817,
"eval_loss": 1.086908221244812,
"eval_precision": 0.48992444445192695,
"eval_recall": 0.5073454405336776,
"eval_runtime": 12.6831,
"eval_samples_per_second": 26.019,
"eval_steps_per_second": 3.311,
"step": 1350
},
{
"epoch": 3.719676549865229,
"eval_accuracy": 0.5818181818181818,
"eval_f1": 0.4671306646522057,
"eval_loss": 1.1851921081542969,
"eval_precision": 0.5193033472658716,
"eval_recall": 0.46147135451955557,
"eval_runtime": 13.4674,
"eval_samples_per_second": 24.504,
"eval_steps_per_second": 3.119,
"step": 1380
},
{
"epoch": 3.8005390835579513,
"eval_accuracy": 0.6272727272727273,
"eval_f1": 0.4738897906354585,
"eval_loss": 1.1233046054840088,
"eval_precision": 0.5308286308286309,
"eval_recall": 0.45352857445191025,
"eval_runtime": 14.4652,
"eval_samples_per_second": 22.813,
"eval_steps_per_second": 2.904,
"step": 1410
},
{
"epoch": 3.881401617250674,
"eval_accuracy": 0.6333333333333333,
"eval_f1": 0.49797095491412685,
"eval_loss": 1.0570012331008911,
"eval_precision": 0.5228267459278104,
"eval_recall": 0.48949827535886625,
"eval_runtime": 13.7881,
"eval_samples_per_second": 23.934,
"eval_steps_per_second": 3.046,
"step": 1440
},
{
"epoch": 3.9622641509433962,
"eval_accuracy": 0.5696969696969697,
"eval_f1": 0.436851400958813,
"eval_loss": 1.196516513824463,
"eval_precision": 0.4607919084994466,
"eval_recall": 0.44320607800419104,
"eval_runtime": 13.9502,
"eval_samples_per_second": 23.656,
"eval_steps_per_second": 3.011,
"step": 1470
},
{
"epoch": 4.0431266846361185,
"grad_norm": 4.396773815155029,
"learning_rate": 1.6307277628032348e-05,
"loss": 0.6945,
"step": 1500
},
{
"epoch": 4.0431266846361185,
"eval_accuracy": 0.6242424242424243,
"eval_f1": 0.48252518710343445,
"eval_loss": 1.0697778463363647,
"eval_precision": 0.529925883396837,
"eval_recall": 0.4736448771051681,
"eval_runtime": 14.005,
"eval_samples_per_second": 23.563,
"eval_steps_per_second": 2.999,
"step": 1500
},
{
"epoch": 4.123989218328841,
"eval_accuracy": 0.6242424242424243,
"eval_f1": 0.49720491179937104,
"eval_loss": 1.2521579265594482,
"eval_precision": 0.5386641378880501,
"eval_recall": 0.49817853705778303,
"eval_runtime": 115.3902,
"eval_samples_per_second": 2.86,
"eval_steps_per_second": 0.364,
"step": 1530
},
{
"epoch": 4.204851752021563,
"eval_accuracy": 0.6181818181818182,
"eval_f1": 0.47697868890738926,
"eval_loss": 1.4063215255737305,
"eval_precision": 0.4929803350172045,
"eval_recall": 0.4728290050243222,
"eval_runtime": 101.5928,
"eval_samples_per_second": 3.248,
"eval_steps_per_second": 0.413,
"step": 1560
},
{
"epoch": 4.285714285714286,
"eval_accuracy": 0.6212121212121212,
"eval_f1": 0.4993387370778744,
"eval_loss": 1.349918007850647,
"eval_precision": 0.49880570409982167,
"eval_recall": 0.5059772713055806,
"eval_runtime": 115.6893,
"eval_samples_per_second": 2.852,
"eval_steps_per_second": 0.363,
"step": 1590
},
{
"epoch": 4.366576819407008,
"eval_accuracy": 0.6,
"eval_f1": 0.46437393231058216,
"eval_loss": 1.340740442276001,
"eval_precision": 0.47078319079488345,
"eval_recall": 0.46173072420332834,
"eval_runtime": 13.0095,
"eval_samples_per_second": 25.366,
"eval_steps_per_second": 3.228,
"step": 1620
},
{
"epoch": 4.44743935309973,
"eval_accuracy": 0.6393939393939394,
"eval_f1": 0.4956975851278201,
"eval_loss": 1.4181333780288696,
"eval_precision": 0.5323631437686738,
"eval_recall": 0.48370483391830105,
"eval_runtime": 15.6022,
"eval_samples_per_second": 21.151,
"eval_steps_per_second": 2.692,
"step": 1650
},
{
"epoch": 4.528301886792453,
"eval_accuracy": 0.6212121212121212,
"eval_f1": 0.48744288293160476,
"eval_loss": 1.4648175239562988,
"eval_precision": 0.5288562135045842,
"eval_recall": 0.484239463132841,
"eval_runtime": 14.8896,
"eval_samples_per_second": 22.163,
"eval_steps_per_second": 2.821,
"step": 1680
},
{
"epoch": 4.609164420485175,
"eval_accuracy": 0.6363636363636364,
"eval_f1": 0.49874561310412674,
"eval_loss": 1.3795430660247803,
"eval_precision": 0.515957965289801,
"eval_recall": 0.49555231275739653,
"eval_runtime": 15.2135,
"eval_samples_per_second": 21.691,
"eval_steps_per_second": 2.761,
"step": 1710
},
{
"epoch": 4.690026954177897,
"eval_accuracy": 0.6545454545454545,
"eval_f1": 0.5072945393065025,
"eval_loss": 1.255421757698059,
"eval_precision": 0.527637085699966,
"eval_recall": 0.5017196060314337,
"eval_runtime": 13.3432,
"eval_samples_per_second": 24.732,
"eval_steps_per_second": 3.148,
"step": 1740
},
{
"epoch": 4.77088948787062,
"eval_accuracy": 0.6181818181818182,
"eval_f1": 0.47364322391678987,
"eval_loss": 1.2744801044464111,
"eval_precision": 0.5261603756546867,
"eval_recall": 0.4762025977768268,
"eval_runtime": 13.3766,
"eval_samples_per_second": 24.67,
"eval_steps_per_second": 3.14,
"step": 1770
},
{
"epoch": 4.8517520215633425,
"eval_accuracy": 0.6272727272727273,
"eval_f1": 0.5006190896494088,
"eval_loss": 1.2532024383544922,
"eval_precision": 0.5347134093222614,
"eval_recall": 0.4860070789020448,
"eval_runtime": 13.4318,
"eval_samples_per_second": 24.569,
"eval_steps_per_second": 3.127,
"step": 1800
},
{
"epoch": 4.932614555256064,
"eval_accuracy": 0.6060606060606061,
"eval_f1": 0.47951387194587414,
"eval_loss": 1.2477487325668335,
"eval_precision": 0.4841348163818714,
"eval_recall": 0.4813308565204252,
"eval_runtime": 13.4442,
"eval_samples_per_second": 24.546,
"eval_steps_per_second": 3.124,
"step": 1830
},
{
"epoch": 5.013477088948787,
"eval_accuracy": 0.6393939393939394,
"eval_f1": 0.4989217275259948,
"eval_loss": 1.2193477153778076,
"eval_precision": 0.5258493064306811,
"eval_recall": 0.4869117013024005,
"eval_runtime": 13.4387,
"eval_samples_per_second": 24.556,
"eval_steps_per_second": 3.125,
"step": 1860
},
{
"epoch": 5.09433962264151,
"eval_accuracy": 0.6424242424242425,
"eval_f1": 0.5115200267534169,
"eval_loss": 1.381670355796814,
"eval_precision": 0.5336989009157052,
"eval_recall": 0.5001792056559704,
"eval_runtime": 14.4622,
"eval_samples_per_second": 22.818,
"eval_steps_per_second": 2.904,
"step": 1890
},
{
"epoch": 5.175202156334231,
"eval_accuracy": 0.6272727272727273,
"eval_f1": 0.49956294294308473,
"eval_loss": 1.4055507183074951,
"eval_precision": 0.510424264019138,
"eval_recall": 0.49196977915696183,
"eval_runtime": 13.4719,
"eval_samples_per_second": 24.496,
"eval_steps_per_second": 3.118,
"step": 1920
},
{
"epoch": 5.256064690026954,
"eval_accuracy": 0.6303030303030303,
"eval_f1": 0.49657096716171206,
"eval_loss": 1.4433475732803345,
"eval_precision": 0.5023020702533887,
"eval_recall": 0.49618528944682805,
"eval_runtime": 12.5628,
"eval_samples_per_second": 26.268,
"eval_steps_per_second": 3.343,
"step": 1950
},
{
"epoch": 5.336927223719677,
"eval_accuracy": 0.6212121212121212,
"eval_f1": 0.4846771824827281,
"eval_loss": 1.4632567167282104,
"eval_precision": 0.49600215736518566,
"eval_recall": 0.4812536923450428,
"eval_runtime": 12.7703,
"eval_samples_per_second": 25.841,
"eval_steps_per_second": 3.289,
"step": 1980
},
{
"epoch": 5.390835579514825,
"grad_norm": 10.319731712341309,
"learning_rate": 5.0763701707097935e-06,
"loss": 0.4025,
"step": 2000
}
],
"logging_steps": 500,
"max_steps": 2226,
"num_input_tokens_seen": 0,
"num_train_epochs": 6,
"save_steps": 500,
"total_flos": 9271286495496432.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}