{
  "best_metric": 0.9824828636709825,
  "best_model_checkpoint": "/content/drive/Shareddrives/Data Science Team folder-open/Clients/Rhenus Documents/attachments_batch7_20231027_SELECTED/Thermorossi/pdf2img/processedimg/0-60 THERMOROSSI/model/PickupReq_combined_RNS_Dec23_EEB_v4/checkpoint-4500",
  "epoch": 78.125,
  "global_step": 5000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.56,
      "eval_accuracy": 0.9868951612903226,
      "eval_f1": 0.942878903274943,
      "eval_loss": 0.06447841972112656,
      "eval_precision": 0.9435975609756098,
      "eval_recall": 0.9421613394216134,
      "eval_runtime": 1.2198,
      "eval_samples_per_second": 10.658,
      "eval_steps_per_second": 5.739,
      "step": 100
    },
    {
      "epoch": 3.12,
      "eval_accuracy": 0.9914314516129032,
      "eval_f1": 0.9573170731707317,
      "eval_loss": 0.04372543469071388,
      "eval_precision": 0.9587786259541985,
      "eval_recall": 0.9558599695585996,
      "eval_runtime": 1.2728,
      "eval_samples_per_second": 10.213,
      "eval_steps_per_second": 5.5,
      "step": 200
    },
    {
      "epoch": 4.69,
      "eval_accuracy": 0.9924395161290323,
      "eval_f1": 0.966360856269113,
      "eval_loss": 0.04766829311847687,
      "eval_precision": 0.9708141321044547,
      "eval_recall": 0.9619482496194824,
      "eval_runtime": 1.224,
      "eval_samples_per_second": 10.621,
      "eval_steps_per_second": 5.719,
      "step": 300
    },
    {
      "epoch": 6.25,
      "eval_accuracy": 0.9939516129032258,
      "eval_f1": 0.9786585365853657,
      "eval_loss": 0.050641875714063644,
      "eval_precision": 0.9801526717557252,
      "eval_recall": 0.9771689497716894,
      "eval_runtime": 1.2177,
      "eval_samples_per_second": 10.676,
      "eval_steps_per_second": 5.749,
      "step": 400
    },
    {
      "epoch": 7.81,
      "learning_rate": 9e-06,
      "loss": 0.145,
      "step": 500
    },
    {
      "epoch": 7.81,
      "eval_accuracy": 0.9939516129032258,
      "eval_f1": 0.9733434881949734,
      "eval_loss": 0.03310808911919594,
      "eval_precision": 0.9740853658536586,
      "eval_recall": 0.9726027397260274,
      "eval_runtime": 1.2766,
      "eval_samples_per_second": 10.183,
      "eval_steps_per_second": 5.483,
      "step": 500
    },
    {
      "epoch": 9.38,
      "eval_accuracy": 0.9939516129032258,
      "eval_f1": 0.9718202589489718,
      "eval_loss": 0.04493210092186928,
      "eval_precision": 0.9725609756097561,
      "eval_recall": 0.9710806697108066,
      "eval_runtime": 1.2123,
      "eval_samples_per_second": 10.724,
      "eval_steps_per_second": 5.774,
      "step": 600
    },
    {
      "epoch": 10.94,
      "eval_accuracy": 0.9939516129032258,
      "eval_f1": 0.9702970297029704,
      "eval_loss": 0.038082972168922424,
      "eval_precision": 0.9710365853658537,
      "eval_recall": 0.969558599695586,
      "eval_runtime": 1.2843,
      "eval_samples_per_second": 10.122,
      "eval_steps_per_second": 5.45,
      "step": 700
    },
    {
      "epoch": 12.5,
      "eval_accuracy": 0.9939516129032258,
      "eval_f1": 0.9702970297029704,
      "eval_loss": 0.03552929311990738,
      "eval_precision": 0.9710365853658537,
      "eval_recall": 0.969558599695586,
      "eval_runtime": 1.2169,
      "eval_samples_per_second": 10.683,
      "eval_steps_per_second": 5.752,
      "step": 800
    },
    {
      "epoch": 14.06,
      "eval_accuracy": 0.9919354838709677,
      "eval_f1": 0.9672505712109674,
      "eval_loss": 0.03628508001565933,
      "eval_precision": 0.9679878048780488,
      "eval_recall": 0.9665144596651446,
      "eval_runtime": 1.2161,
      "eval_samples_per_second": 10.69,
      "eval_steps_per_second": 5.756,
      "step": 900
    },
    {
      "epoch": 15.62,
      "learning_rate": 8.000000000000001e-06,
      "loss": 0.0076,
      "step": 1000
    },
    {
      "epoch": 15.62,
      "eval_accuracy": 0.9919354838709677,
      "eval_f1": 0.9642041127189643,
      "eval_loss": 0.041032299399375916,
      "eval_precision": 0.9649390243902439,
      "eval_recall": 0.9634703196347032,
      "eval_runtime": 1.2046,
      "eval_samples_per_second": 10.792,
      "eval_steps_per_second": 5.811,
      "step": 1000
    },
    {
      "epoch": 17.19,
      "eval_accuracy": 0.9939516129032258,
      "eval_f1": 0.9763899466869764,
      "eval_loss": 0.025884319096803665,
      "eval_precision": 0.9771341463414634,
      "eval_recall": 0.9756468797564688,
      "eval_runtime": 1.2178,
      "eval_samples_per_second": 10.675,
      "eval_steps_per_second": 5.748,
      "step": 1100
    },
    {
      "epoch": 18.75,
      "eval_accuracy": 0.9949596774193549,
      "eval_f1": 0.9764258555133081,
      "eval_loss": 0.03205409273505211,
      "eval_precision": 0.9756838905775076,
      "eval_recall": 0.9771689497716894,
      "eval_runtime": 1.2104,
      "eval_samples_per_second": 10.74,
      "eval_steps_per_second": 5.783,
      "step": 1200
    },
    {
      "epoch": 20.31,
      "eval_accuracy": 0.9949596774193549,
      "eval_f1": 0.9764258555133081,
      "eval_loss": 0.03990120440721512,
      "eval_precision": 0.9756838905775076,
      "eval_recall": 0.9771689497716894,
      "eval_runtime": 1.2848,
      "eval_samples_per_second": 10.118,
      "eval_steps_per_second": 5.448,
      "step": 1300
    },
    {
      "epoch": 21.88,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.026920977979898453,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2238,
      "eval_samples_per_second": 10.623,
      "eval_steps_per_second": 5.72,
      "step": 1400
    },
    {
      "epoch": 23.44,
      "learning_rate": 7e-06,
      "loss": 0.0034,
      "step": 1500
    },
    {
      "epoch": 23.44,
      "eval_accuracy": 0.9944556451612904,
      "eval_f1": 0.9763899466869764,
      "eval_loss": 0.03660265728831291,
      "eval_precision": 0.9771341463414634,
      "eval_recall": 0.9756468797564688,
      "eval_runtime": 1.2067,
      "eval_samples_per_second": 10.773,
      "eval_steps_per_second": 5.801,
      "step": 1500
    },
    {
      "epoch": 25.0,
      "eval_accuracy": 0.9969758064516129,
      "eval_f1": 0.9855293221629856,
      "eval_loss": 0.0368938222527504,
      "eval_precision": 0.9862804878048781,
      "eval_recall": 0.984779299847793,
      "eval_runtime": 1.2163,
      "eval_samples_per_second": 10.688,
      "eval_steps_per_second": 5.755,
      "step": 1600
    },
    {
      "epoch": 26.56,
      "eval_accuracy": 0.9954637096774194,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.03973403945565224,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.2199,
      "eval_samples_per_second": 10.657,
      "eval_steps_per_second": 5.738,
      "step": 1700
    },
    {
      "epoch": 28.12,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.027732405811548233,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2739,
      "eval_samples_per_second": 10.205,
      "eval_steps_per_second": 5.495,
      "step": 1800
    },
    {
      "epoch": 29.69,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9855293221629856,
      "eval_loss": 0.03053249605000019,
      "eval_precision": 0.9862804878048781,
      "eval_recall": 0.984779299847793,
      "eval_runtime": 1.2239,
      "eval_samples_per_second": 10.621,
      "eval_steps_per_second": 5.719,
      "step": 1900
    },
    {
      "epoch": 31.25,
      "learning_rate": 6e-06,
      "loss": 0.0021,
      "step": 2000
    },
    {
      "epoch": 31.25,
      "eval_accuracy": 0.9954637096774194,
      "eval_f1": 0.9763899466869764,
      "eval_loss": 0.04148135706782341,
      "eval_precision": 0.9771341463414634,
      "eval_recall": 0.9756468797564688,
      "eval_runtime": 1.2182,
      "eval_samples_per_second": 10.672,
      "eval_steps_per_second": 5.746,
      "step": 2000
    },
    {
      "epoch": 32.81,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9855293221629856,
      "eval_loss": 0.03434097394347191,
      "eval_precision": 0.9862804878048781,
      "eval_recall": 0.984779299847793,
      "eval_runtime": 1.2192,
      "eval_samples_per_second": 10.663,
      "eval_steps_per_second": 5.742,
      "step": 2100
    },
    {
      "epoch": 34.38,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.036329954862594604,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2759,
      "eval_samples_per_second": 10.189,
      "eval_steps_per_second": 5.486,
      "step": 2200
    },
    {
      "epoch": 35.94,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.0368308424949646,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.215,
      "eval_samples_per_second": 10.7,
      "eval_steps_per_second": 5.762,
      "step": 2300
    },
    {
      "epoch": 37.5,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.03690670430660248,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2077,
      "eval_samples_per_second": 10.764,
      "eval_steps_per_second": 5.796,
      "step": 2400
    },
    {
      "epoch": 39.06,
      "learning_rate": 5e-06,
      "loss": 0.0016,
      "step": 2500
    },
    {
      "epoch": 39.06,
      "eval_accuracy": 0.9954637096774194,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.03333241119980812,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.2147,
      "eval_samples_per_second": 10.703,
      "eval_steps_per_second": 5.763,
      "step": 2500
    },
    {
      "epoch": 40.62,
      "eval_accuracy": 0.9979838709677419,
      "eval_f1": 0.9916222391469918,
      "eval_loss": 0.03542204946279526,
      "eval_precision": 0.9923780487804879,
      "eval_recall": 0.9908675799086758,
      "eval_runtime": 1.2122,
      "eval_samples_per_second": 10.725,
      "eval_steps_per_second": 5.775,
      "step": 2600
    },
    {
      "epoch": 42.19,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.03290965408086777,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2189,
      "eval_samples_per_second": 10.665,
      "eval_steps_per_second": 5.743,
      "step": 2700
    },
    {
      "epoch": 43.75,
      "eval_accuracy": 0.9969758064516129,
      "eval_f1": 0.9855293221629856,
      "eval_loss": 0.03801412135362625,
      "eval_precision": 0.9862804878048781,
      "eval_recall": 0.984779299847793,
      "eval_runtime": 1.2022,
      "eval_samples_per_second": 10.813,
      "eval_steps_per_second": 5.823,
      "step": 2800
    },
    {
      "epoch": 45.31,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.03737560659646988,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.2805,
      "eval_samples_per_second": 10.152,
      "eval_steps_per_second": 5.467,
      "step": 2900
    },
    {
      "epoch": 46.88,
      "learning_rate": 4.000000000000001e-06,
      "loss": 0.0008,
      "step": 3000
    },
    {
      "epoch": 46.88,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.03473510965704918,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.2112,
      "eval_samples_per_second": 10.733,
      "eval_steps_per_second": 5.779,
      "step": 3000
    },
    {
      "epoch": 48.44,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.03780585899949074,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.2093,
      "eval_samples_per_second": 10.75,
      "eval_steps_per_second": 5.788,
      "step": 3100
    },
    {
      "epoch": 50.0,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.03984608128666878,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2798,
      "eval_samples_per_second": 10.157,
      "eval_steps_per_second": 5.469,
      "step": 3200
    },
    {
      "epoch": 51.56,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.03601069748401642,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.2064,
      "eval_samples_per_second": 10.776,
      "eval_steps_per_second": 5.802,
      "step": 3300
    },
    {
      "epoch": 53.12,
      "eval_accuracy": 0.9954637096774194,
      "eval_f1": 0.9779131759329779,
      "eval_loss": 0.04352593794465065,
      "eval_precision": 0.9786585365853658,
      "eval_recall": 0.9771689497716894,
      "eval_runtime": 1.2834,
      "eval_samples_per_second": 10.129,
      "eval_steps_per_second": 5.454,
      "step": 3400
    },
    {
      "epoch": 54.69,
      "learning_rate": 3e-06,
      "loss": 0.0006,
      "step": 3500
    },
    {
      "epoch": 54.69,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.044929005205631256,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.2158,
      "eval_samples_per_second": 10.693,
      "eval_steps_per_second": 5.758,
      "step": 3500
    },
    {
      "epoch": 56.25,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.04337146133184433,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.3027,
      "eval_samples_per_second": 9.979,
      "eval_steps_per_second": 5.373,
      "step": 3600
    },
    {
      "epoch": 57.81,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.042894065380096436,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.2493,
      "eval_samples_per_second": 10.406,
      "eval_steps_per_second": 5.603,
      "step": 3700
    },
    {
      "epoch": 59.38,
      "eval_accuracy": 0.9969758064516129,
      "eval_f1": 0.9855293221629856,
      "eval_loss": 0.04019169509410858,
      "eval_precision": 0.9862804878048781,
      "eval_recall": 0.984779299847793,
      "eval_runtime": 1.2664,
      "eval_samples_per_second": 10.265,
      "eval_steps_per_second": 5.527,
      "step": 3800
    },
    {
      "epoch": 60.94,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.041059188544750214,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2339,
      "eval_samples_per_second": 10.536,
      "eval_steps_per_second": 5.673,
      "step": 3900
    },
    {
      "epoch": 62.5,
      "learning_rate": 2.0000000000000003e-06,
      "loss": 0.0003,
      "step": 4000
    },
    {
      "epoch": 62.5,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.04345503821969032,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.2758,
      "eval_samples_per_second": 10.189,
      "eval_steps_per_second": 5.487,
      "step": 4000
    },
    {
      "epoch": 64.06,
      "eval_accuracy": 0.9959677419354839,
      "eval_f1": 0.9794364051789796,
      "eval_loss": 0.043661847710609436,
      "eval_precision": 0.9801829268292683,
      "eval_recall": 0.9786910197869102,
      "eval_runtime": 1.2235,
      "eval_samples_per_second": 10.625,
      "eval_steps_per_second": 5.721,
      "step": 4100
    },
    {
      "epoch": 65.62,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.04225226491689682,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2314,
      "eval_samples_per_second": 10.557,
      "eval_steps_per_second": 5.685,
      "step": 4200
    },
    {
      "epoch": 67.19,
      "eval_accuracy": 0.9969758064516129,
      "eval_f1": 0.9855293221629856,
      "eval_loss": 0.04165039211511612,
      "eval_precision": 0.9862804878048781,
      "eval_recall": 0.984779299847793,
      "eval_runtime": 1.2205,
      "eval_samples_per_second": 10.651,
      "eval_steps_per_second": 5.735,
      "step": 4300
    },
    {
      "epoch": 68.75,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.04333154484629631,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2885,
      "eval_samples_per_second": 10.089,
      "eval_steps_per_second": 5.433,
      "step": 4400
    },
    {
      "epoch": 70.31,
      "learning_rate": 1.0000000000000002e-06,
      "loss": 0.0003,
      "step": 4500
    },
    {
      "epoch": 70.31,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.043314892798662186,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2238,
      "eval_samples_per_second": 10.623,
      "eval_steps_per_second": 5.72,
      "step": 4500
    },
    {
      "epoch": 71.88,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.043683238327503204,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2463,
      "eval_samples_per_second": 10.431,
      "eval_steps_per_second": 5.616,
      "step": 4600
    },
    {
      "epoch": 73.44,
      "eval_accuracy": 0.9969758064516129,
      "eval_f1": 0.9855293221629856,
      "eval_loss": 0.043529048562049866,
      "eval_precision": 0.9862804878048781,
      "eval_recall": 0.984779299847793,
      "eval_runtime": 1.2409,
      "eval_samples_per_second": 10.476,
      "eval_steps_per_second": 5.641,
      "step": 4700
    },
    {
      "epoch": 75.0,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.043888889253139496,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2665,
      "eval_samples_per_second": 10.265,
      "eval_steps_per_second": 5.527,
      "step": 4800
    },
    {
      "epoch": 76.56,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.04420410841703415,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2292,
      "eval_samples_per_second": 10.576,
      "eval_steps_per_second": 5.695,
      "step": 4900
    },
    {
      "epoch": 78.12,
      "learning_rate": 0.0,
      "loss": 0.0002,
      "step": 5000
    },
    {
      "epoch": 78.12,
      "eval_accuracy": 0.9964717741935484,
      "eval_f1": 0.9824828636709825,
      "eval_loss": 0.043921105563640594,
      "eval_precision": 0.9832317073170732,
      "eval_recall": 0.9817351598173516,
      "eval_runtime": 1.2477,
      "eval_samples_per_second": 10.419,
      "eval_steps_per_second": 5.61,
      "step": 5000
    }
  ],
  "max_steps": 5000,
  "num_train_epochs": 79,
  "total_flos": 2634149990123520.0,
  "trial_name": null,
  "trial_params": null
}