{
  "best_global_step": 6159,
  "best_metric": 0.5116675566402742,
  "best_model_checkpoint": "checkpoints/med-ruri-v3-70m-v2-from-med/checkpoint-6159",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 6159,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.008118201006656925,
      "grad_norm": 36.411094665527344,
      "learning_rate": 1.590909090909091e-06,
      "loss": 0.7310499572753906,
      "step": 50
    },
    {
      "epoch": 0.01623640201331385,
      "grad_norm": 33.341773986816406,
      "learning_rate": 3.2142857142857147e-06,
      "loss": 0.7275860595703125,
      "step": 100
    },
    {
      "epoch": 0.024354603019970774,
      "grad_norm": 29.529163360595703,
      "learning_rate": 4.837662337662339e-06,
      "loss": 0.731024169921875,
      "step": 150
    },
    {
      "epoch": 0.0324728040266277,
      "grad_norm": 30.00229263305664,
      "learning_rate": 6.461038961038961e-06,
      "loss": 0.7175758361816407,
      "step": 200
    },
    {
      "epoch": 0.040591005033284625,
      "grad_norm": 31.925983428955078,
      "learning_rate": 8.084415584415586e-06,
      "loss": 0.6959671020507813,
      "step": 250
    },
    {
      "epoch": 0.04870920603994155,
      "grad_norm": 28.800811767578125,
      "learning_rate": 9.707792207792209e-06,
      "loss": 0.7367277526855469,
      "step": 300
    },
    {
      "epoch": 0.05682740704659847,
      "grad_norm": 31.140193939208984,
      "learning_rate": 9.929926508289183e-06,
      "loss": 0.7400946044921874,
      "step": 350
    },
    {
      "epoch": 0.0649456080532554,
      "grad_norm": 35.08184814453125,
      "learning_rate": 9.84447103059306e-06,
      "loss": 0.7406158447265625,
      "step": 400
    },
    {
      "epoch": 0.07306380905991232,
      "grad_norm": 25.991899490356445,
      "learning_rate": 9.759015552896942e-06,
      "loss": 0.6898162841796875,
      "step": 450
    },
    {
      "epoch": 0.08118201006656925,
      "grad_norm": 26.979516983032227,
      "learning_rate": 9.67356007520082e-06,
      "loss": 0.6823211669921875,
      "step": 500
    },
    {
      "epoch": 0.08118201006656925,
      "eval_med-ir_cosine_accuracy@1": 0.2405,
      "eval_med-ir_cosine_accuracy@10": 0.639,
      "eval_med-ir_cosine_accuracy@5": 0.518,
      "eval_med-ir_cosine_map@10": 0.35634821428571434,
      "eval_med-ir_cosine_mrr@10": 0.3563482142857148,
      "eval_med-ir_cosine_ndcg@10": 0.42346580839400816,
      "eval_med-ir_cosine_precision@1": 0.2405,
      "eval_med-ir_cosine_precision@10": 0.06389999999999998,
      "eval_med-ir_cosine_precision@5": 0.1036,
      "eval_med-ir_cosine_recall@1": 0.2405,
      "eval_med-ir_cosine_recall@10": 0.639,
      "eval_med-ir_cosine_recall@5": 0.518,
      "eval_runtime": 54.4928,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 500
    },
    {
      "epoch": 0.08930021107322618,
      "grad_norm": 26.730838775634766,
      "learning_rate": 9.5881045975047e-06,
      "loss": 0.6993674468994141,
      "step": 550
    },
    {
      "epoch": 0.0974184120798831,
      "grad_norm": 30.956209182739258,
      "learning_rate": 9.50264911980858e-06,
      "loss": 0.6762686157226563,
      "step": 600
    },
    {
      "epoch": 0.10553661308654003,
      "grad_norm": 26.836666107177734,
      "learning_rate": 9.41719364211246e-06,
      "loss": 0.6830927276611328,
      "step": 650
    },
    {
      "epoch": 0.11365481409319694,
      "grad_norm": 27.171998977661133,
      "learning_rate": 9.33173816441634e-06,
      "loss": 0.655235824584961,
      "step": 700
    },
    {
      "epoch": 0.12177301509985387,
      "grad_norm": 32.39191818237305,
      "learning_rate": 9.24628268672022e-06,
      "loss": 0.6455143737792969,
      "step": 750
    },
    {
      "epoch": 0.1298912161065108,
      "grad_norm": 27.211759567260742,
      "learning_rate": 9.160827209024098e-06,
      "loss": 0.646562728881836,
      "step": 800
    },
    {
      "epoch": 0.13800941711316772,
      "grad_norm": 26.15242576599121,
      "learning_rate": 9.07537173132798e-06,
      "loss": 0.641706314086914,
      "step": 850
    },
    {
      "epoch": 0.14612761811982464,
      "grad_norm": 30.478113174438477,
      "learning_rate": 8.989916253631858e-06,
      "loss": 0.6305813598632812,
      "step": 900
    },
    {
      "epoch": 0.15424581912648158,
      "grad_norm": 25.28243064880371,
      "learning_rate": 8.904460775935739e-06,
      "loss": 0.6182423400878906,
      "step": 950
    },
    {
      "epoch": 0.1623640201331385,
      "grad_norm": 29.67841339111328,
      "learning_rate": 8.819005298239618e-06,
      "loss": 0.6209118270874023,
      "step": 1000
    },
    {
      "epoch": 0.1623640201331385,
      "eval_med-ir_cosine_accuracy@1": 0.243,
      "eval_med-ir_cosine_accuracy@10": 0.66,
      "eval_med-ir_cosine_accuracy@5": 0.542,
      "eval_med-ir_cosine_map@10": 0.36730773809523803,
      "eval_med-ir_cosine_mrr@10": 0.3673077380952388,
      "eval_med-ir_cosine_ndcg@10": 0.4370587039801932,
      "eval_med-ir_cosine_precision@1": 0.243,
      "eval_med-ir_cosine_precision@10": 0.066,
      "eval_med-ir_cosine_precision@5": 0.1084,
      "eval_med-ir_cosine_recall@1": 0.243,
      "eval_med-ir_cosine_recall@10": 0.66,
      "eval_med-ir_cosine_recall@5": 0.542,
      "eval_runtime": 54.0291,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 1000
    },
    {
      "epoch": 0.17048222113979541,
      "grad_norm": 23.29427146911621,
      "learning_rate": 8.733549820543497e-06,
      "loss": 0.6038346862792969,
      "step": 1050
    },
    {
      "epoch": 0.17860042214645236,
      "grad_norm": 28.32552719116211,
      "learning_rate": 8.648094342847378e-06,
      "loss": 0.6003586959838867,
      "step": 1100
    },
    {
      "epoch": 0.18671862315310928,
      "grad_norm": 30.75159454345703,
      "learning_rate": 8.562638865151257e-06,
      "loss": 0.6092750930786133,
      "step": 1150
    },
    {
      "epoch": 0.1948368241597662,
      "grad_norm": 23.42568016052246,
      "learning_rate": 8.477183387455136e-06,
      "loss": 0.5733106994628906,
      "step": 1200
    },
    {
      "epoch": 0.2029550251664231,
      "grad_norm": 26.38534927368164,
      "learning_rate": 8.391727909759017e-06,
      "loss": 0.6007821655273438,
      "step": 1250
    },
    {
      "epoch": 0.21107322617308005,
      "grad_norm": 29.11765480041504,
      "learning_rate": 8.306272432062896e-06,
      "loss": 0.575584602355957,
      "step": 1300
    },
    {
      "epoch": 0.21919142717973697,
      "grad_norm": 26.75505256652832,
      "learning_rate": 8.220816954366777e-06,
      "loss": 0.5628342819213867,
      "step": 1350
    },
    {
      "epoch": 0.22730962818639389,
      "grad_norm": 26.10503387451172,
      "learning_rate": 8.135361476670656e-06,
      "loss": 0.5451336669921875,
      "step": 1400
    },
    {
      "epoch": 0.23542782919305083,
      "grad_norm": 28.066715240478516,
      "learning_rate": 8.049905998974535e-06,
      "loss": 0.5360281372070312,
      "step": 1450
    },
    {
      "epoch": 0.24354603019970775,
      "grad_norm": 26.54391860961914,
      "learning_rate": 7.964450521278416e-06,
      "loss": 0.5346591949462891,
      "step": 1500
    },
    {
      "epoch": 0.24354603019970775,
      "eval_med-ir_cosine_accuracy@1": 0.2595,
      "eval_med-ir_cosine_accuracy@10": 0.6725,
      "eval_med-ir_cosine_accuracy@5": 0.55,
      "eval_med-ir_cosine_map@10": 0.38029999999999997,
      "eval_med-ir_cosine_mrr@10": 0.3803000000000005,
      "eval_med-ir_cosine_ndcg@10": 0.4497772162074601,
      "eval_med-ir_cosine_precision@1": 0.2595,
      "eval_med-ir_cosine_precision@10": 0.06724999999999999,
      "eval_med-ir_cosine_precision@5": 0.11,
      "eval_med-ir_cosine_recall@1": 0.2595,
      "eval_med-ir_cosine_recall@10": 0.6725,
      "eval_med-ir_cosine_recall@5": 0.55,
      "eval_runtime": 54.4304,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 1500
    },
    {
      "epoch": 0.25166423120636466,
      "grad_norm": 29.37564468383789,
      "learning_rate": 7.878995043582293e-06,
      "loss": 0.5282846450805664,
      "step": 1550
    },
    {
      "epoch": 0.2597824322130216,
      "grad_norm": 28.56175422668457,
      "learning_rate": 7.793539565886174e-06,
      "loss": 0.5485841369628907,
      "step": 1600
    },
    {
      "epoch": 0.2679006332196785,
      "grad_norm": 26.496784210205078,
      "learning_rate": 7.708084088190053e-06,
      "loss": 0.5251470947265625,
      "step": 1650
    },
    {
      "epoch": 0.27601883422633544,
      "grad_norm": 19.61214828491211,
      "learning_rate": 7.622628610493933e-06,
      "loss": 0.528628044128418,
      "step": 1700
    },
    {
      "epoch": 0.2841370352329924,
      "grad_norm": 25.818782806396484,
      "learning_rate": 7.537173132797813e-06,
      "loss": 0.5510402297973633,
      "step": 1750
    },
    {
      "epoch": 0.2922552362396493,
      "grad_norm": 25.30286979675293,
      "learning_rate": 7.451717655101693e-06,
      "loss": 0.5192715454101563,
      "step": 1800
    },
    {
      "epoch": 0.3003734372463062,
      "grad_norm": 27.227081298828125,
      "learning_rate": 7.366262177405572e-06,
      "loss": 0.5303105926513672,
      "step": 1850
    },
    {
      "epoch": 0.30849163825296316,
      "grad_norm": 26.680246353149414,
      "learning_rate": 7.280806699709452e-06,
      "loss": 0.5015132141113281,
      "step": 1900
    },
    {
      "epoch": 0.31660983925962005,
      "grad_norm": 22.279888153076172,
      "learning_rate": 7.1953512220133315e-06,
      "loss": 0.5028081512451172,
      "step": 1950
    },
    {
      "epoch": 0.324728040266277,
      "grad_norm": 33.51526641845703,
      "learning_rate": 7.109895744317211e-06,
      "loss": 0.5068627166748046,
      "step": 2000
    },
    {
      "epoch": 0.324728040266277,
      "eval_med-ir_cosine_accuracy@1": 0.2595,
      "eval_med-ir_cosine_accuracy@10": 0.6855,
      "eval_med-ir_cosine_accuracy@5": 0.565,
      "eval_med-ir_cosine_map@10": 0.38495595238095237,
      "eval_med-ir_cosine_mrr@10": 0.3849559523809534,
      "eval_med-ir_cosine_ndcg@10": 0.45651138585926065,
      "eval_med-ir_cosine_precision@1": 0.2595,
      "eval_med-ir_cosine_precision@10": 0.06855,
      "eval_med-ir_cosine_precision@5": 0.113,
      "eval_med-ir_cosine_recall@1": 0.2595,
      "eval_med-ir_cosine_recall@10": 0.6855,
      "eval_med-ir_cosine_recall@5": 0.565,
      "eval_runtime": 54.0722,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 2000
    },
    {
      "epoch": 0.33284624127293394,
      "grad_norm": 27.506000518798828,
      "learning_rate": 7.0244402666210905e-06,
      "loss": 0.5098920822143554,
      "step": 2050
    },
    {
      "epoch": 0.34096444227959083,
      "grad_norm": 29.740720748901367,
      "learning_rate": 6.93898478892497e-06,
      "loss": 0.496164436340332,
      "step": 2100
    },
    {
      "epoch": 0.3490826432862478,
      "grad_norm": 25.217426300048828,
      "learning_rate": 6.85352931122885e-06,
      "loss": 0.4881623458862305,
      "step": 2150
    },
    {
      "epoch": 0.3572008442929047,
      "grad_norm": 28.606525421142578,
      "learning_rate": 6.76807383353273e-06,
      "loss": 0.48913185119628905,
      "step": 2200
    },
    {
      "epoch": 0.3653190452995616,
      "grad_norm": 24.438983917236328,
      "learning_rate": 6.68261835583661e-06,
      "loss": 0.47148258209228516,
      "step": 2250
    },
    {
      "epoch": 0.37343724630621855,
      "grad_norm": 23.559492111206055,
      "learning_rate": 6.597162878140489e-06,
      "loss": 0.4642819976806641,
      "step": 2300
    },
    {
      "epoch": 0.38155544731287544,
      "grad_norm": 24.448942184448242,
      "learning_rate": 6.511707400444369e-06,
      "loss": 0.4844449234008789,
      "step": 2350
    },
    {
      "epoch": 0.3896736483195324,
      "grad_norm": 26.696155548095703,
      "learning_rate": 6.426251922748249e-06,
      "loss": 0.48629852294921877,
      "step": 2400
    },
    {
      "epoch": 0.39779184932618933,
      "grad_norm": 23.955778121948242,
      "learning_rate": 6.340796445052129e-06,
      "loss": 0.4482369613647461,
      "step": 2450
    },
    {
      "epoch": 0.4059100503328462,
      "grad_norm": 28.369016647338867,
      "learning_rate": 6.255340967356008e-06,
      "loss": 0.46350692749023437,
      "step": 2500
    },
    {
      "epoch": 0.4059100503328462,
      "eval_med-ir_cosine_accuracy@1": 0.2575,
      "eval_med-ir_cosine_accuracy@10": 0.7065,
      "eval_med-ir_cosine_accuracy@5": 0.577,
      "eval_med-ir_cosine_map@10": 0.3918313492063492,
      "eval_med-ir_cosine_mrr@10": 0.39183134920634993,
      "eval_med-ir_cosine_ndcg@10": 0.4668654830792379,
      "eval_med-ir_cosine_precision@1": 0.2575,
      "eval_med-ir_cosine_precision@10": 0.07065,
      "eval_med-ir_cosine_precision@5": 0.11539999999999997,
      "eval_med-ir_cosine_recall@1": 0.2575,
      "eval_med-ir_cosine_recall@10": 0.7065,
      "eval_med-ir_cosine_recall@5": 0.577,
      "eval_runtime": 54.4497,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 2500
    },
    {
      "epoch": 0.41402825133950316,
      "grad_norm": 24.527584075927734,
      "learning_rate": 6.169885489659888e-06,
      "loss": 0.44426162719726564,
      "step": 2550
    },
    {
      "epoch": 0.4221464523461601,
      "grad_norm": 27.846498489379883,
      "learning_rate": 6.084430011963768e-06,
      "loss": 0.46968517303466795,
      "step": 2600
    },
    {
      "epoch": 0.430264653352817,
      "grad_norm": 25.253318786621094,
      "learning_rate": 5.998974534267648e-06,
      "loss": 0.4509878158569336,
      "step": 2650
    },
    {
      "epoch": 0.43838285435947394,
      "grad_norm": 32.585716247558594,
      "learning_rate": 5.913519056571527e-06,
      "loss": 0.4542438507080078,
      "step": 2700
    },
    {
      "epoch": 0.4465010553661309,
      "grad_norm": 23.337425231933594,
      "learning_rate": 5.828063578875406e-06,
      "loss": 0.4412319946289063,
      "step": 2750
    },
    {
      "epoch": 0.45461925637278777,
      "grad_norm": 26.819854736328125,
      "learning_rate": 5.742608101179286e-06,
      "loss": 0.4313632965087891,
      "step": 2800
    },
    {
      "epoch": 0.4627374573794447,
      "grad_norm": 25.884685516357422,
      "learning_rate": 5.657152623483165e-06,
      "loss": 0.4359418487548828,
      "step": 2850
    },
    {
      "epoch": 0.47085565838610166,
      "grad_norm": 27.280941009521484,
      "learning_rate": 5.571697145787045e-06,
      "loss": 0.4584618377685547,
      "step": 2900
    },
    {
      "epoch": 0.47897385939275855,
      "grad_norm": 26.55316734313965,
      "learning_rate": 5.486241668090925e-06,
      "loss": 0.43852054595947265,
      "step": 2950
    },
    {
      "epoch": 0.4870920603994155,
      "grad_norm": 32.69245529174805,
      "learning_rate": 5.400786190394805e-06,
      "loss": 0.4116242599487305,
      "step": 3000
    },
    {
      "epoch": 0.4870920603994155,
      "eval_med-ir_cosine_accuracy@1": 0.258,
      "eval_med-ir_cosine_accuracy@10": 0.716,
      "eval_med-ir_cosine_accuracy@5": 0.583,
      "eval_med-ir_cosine_map@10": 0.3946994047619047,
      "eval_med-ir_cosine_mrr@10": 0.3946994047619057,
      "eval_med-ir_cosine_ndcg@10": 0.47131302354355625,
      "eval_med-ir_cosine_precision@1": 0.258,
      "eval_med-ir_cosine_precision@10": 0.0716,
      "eval_med-ir_cosine_precision@5": 0.1166,
      "eval_med-ir_cosine_recall@1": 0.258,
      "eval_med-ir_cosine_recall@10": 0.716,
      "eval_med-ir_cosine_recall@5": 0.583,
      "eval_runtime": 54.7835,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 3000
    },
    {
      "epoch": 0.49521026140607244,
      "grad_norm": 26.05533790588379,
      "learning_rate": 5.315330712698684e-06,
      "loss": 0.41833881378173826,
      "step": 3050
    },
    {
      "epoch": 0.5033284624127293,
      "grad_norm": 24.3446044921875,
      "learning_rate": 5.229875235002564e-06,
      "loss": 0.42152812957763675,
      "step": 3100
    },
    {
      "epoch": 0.5114466634193863,
      "grad_norm": 26.35765266418457,
      "learning_rate": 5.144419757306444e-06,
      "loss": 0.43361137390136717,
      "step": 3150
    },
    {
      "epoch": 0.5195648644260432,
      "grad_norm": 21.788087844848633,
      "learning_rate": 5.0589642796103235e-06,
      "loss": 0.41687965393066406,
      "step": 3200
    },
    {
      "epoch": 0.5276830654327002,
      "grad_norm": 21.793575286865234,
      "learning_rate": 4.9735088019142035e-06,
      "loss": 0.40629470825195313,
      "step": 3250
    },
    {
      "epoch": 0.535801266439357,
      "grad_norm": 23.50558853149414,
      "learning_rate": 4.8880533242180825e-06,
      "loss": 0.42308380126953127,
      "step": 3300
    },
    {
      "epoch": 0.5439194674460139,
      "grad_norm": 23.41484260559082,
      "learning_rate": 4.8025978465219625e-06,
      "loss": 0.41681121826171874,
      "step": 3350
    },
    {
      "epoch": 0.5520376684526709,
      "grad_norm": 26.679920196533203,
      "learning_rate": 4.717142368825842e-06,
      "loss": 0.42727054595947267,
      "step": 3400
    },
    {
      "epoch": 0.5601558694593278,
      "grad_norm": 26.37928581237793,
      "learning_rate": 4.631686891129722e-06,
      "loss": 0.3999076461791992,
      "step": 3450
    },
    {
      "epoch": 0.5682740704659848,
      "grad_norm": 26.777301788330078,
      "learning_rate": 4.546231413433601e-06,
      "loss": 0.41194995880126956,
      "step": 3500
    },
    {
      "epoch": 0.5682740704659848,
      "eval_med-ir_cosine_accuracy@1": 0.2655,
      "eval_med-ir_cosine_accuracy@10": 0.7295,
      "eval_med-ir_cosine_accuracy@5": 0.606,
      "eval_med-ir_cosine_map@10": 0.4068434523809524,
      "eval_med-ir_cosine_mrr@10": 0.4068434523809536,
      "eval_med-ir_cosine_ndcg@10": 0.48396495520080973,
      "eval_med-ir_cosine_precision@1": 0.2655,
      "eval_med-ir_cosine_precision@10": 0.07294999999999999,
      "eval_med-ir_cosine_precision@5": 0.12119999999999999,
      "eval_med-ir_cosine_recall@1": 0.2655,
      "eval_med-ir_cosine_recall@10": 0.7295,
      "eval_med-ir_cosine_recall@5": 0.606,
      "eval_runtime": 54.0507,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 3500
    },
    {
      "epoch": 0.5763922714726417,
      "grad_norm": 20.97708511352539,
      "learning_rate": 4.460775935737481e-06,
      "loss": 0.3979582214355469,
      "step": 3550
    },
    {
      "epoch": 0.5845104724792985,
      "grad_norm": 27.893774032592773,
      "learning_rate": 4.375320458041361e-06,
      "loss": 0.3924750900268555,
      "step": 3600
    },
    {
      "epoch": 0.5926286734859555,
      "grad_norm": 30.105205535888672,
      "learning_rate": 4.28986498034524e-06,
      "loss": 0.3927528762817383,
      "step": 3650
    },
    {
      "epoch": 0.6007468744926124,
      "grad_norm": 25.054996490478516,
      "learning_rate": 4.20440950264912e-06,
      "loss": 0.3922443008422852,
      "step": 3700
    },
    {
      "epoch": 0.6088650754992694,
      "grad_norm": 24.47882080078125,
      "learning_rate": 4.118954024952999e-06,
      "loss": 0.39761966705322266,
      "step": 3750
    },
    {
      "epoch": 0.6169832765059263,
      "grad_norm": 19.384056091308594,
      "learning_rate": 4.033498547256879e-06,
      "loss": 0.376162109375,
      "step": 3800
    },
    {
      "epoch": 0.6251014775125832,
      "grad_norm": 28.80005645751953,
      "learning_rate": 3.948043069560759e-06,
      "loss": 0.37446979522705076,
      "step": 3850
    },
    {
      "epoch": 0.6332196785192401,
      "grad_norm": 25.24685287475586,
      "learning_rate": 3.862587591864639e-06,
      "loss": 0.3783541488647461,
      "step": 3900
    },
    {
      "epoch": 0.641337879525897,
      "grad_norm": 24.89389419555664,
      "learning_rate": 3.7771321141685185e-06,
      "loss": 0.3898916244506836,
      "step": 3950
    },
    {
      "epoch": 0.649456080532554,
      "grad_norm": 33.5133056640625,
      "learning_rate": 3.6916766364723984e-06,
      "loss": 0.39077850341796877,
      "step": 4000
    },
    {
      "epoch": 0.649456080532554,
      "eval_med-ir_cosine_accuracy@1": 0.279,
      "eval_med-ir_cosine_accuracy@10": 0.7325,
      "eval_med-ir_cosine_accuracy@5": 0.611,
      "eval_med-ir_cosine_map@10": 0.4163884920634921,
      "eval_med-ir_cosine_mrr@10": 0.41638849206349293,
      "eval_med-ir_cosine_ndcg@10": 0.49194027570043475,
      "eval_med-ir_cosine_precision@1": 0.279,
      "eval_med-ir_cosine_precision@10": 0.07325,
      "eval_med-ir_cosine_precision@5": 0.12219999999999999,
      "eval_med-ir_cosine_recall@1": 0.279,
      "eval_med-ir_cosine_recall@10": 0.7325,
      "eval_med-ir_cosine_recall@5": 0.611,
      "eval_runtime": 54.2032,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 4000
    },
    {
      "epoch": 0.6575742815392109,
      "grad_norm": 24.571653366088867,
      "learning_rate": 3.606221158776278e-06,
      "loss": 0.36793323516845705,
      "step": 4050
    },
    {
      "epoch": 0.6656924825458679,
      "grad_norm": 21.505054473876953,
      "learning_rate": 3.520765681080158e-06,
      "loss": 0.3638215255737305,
      "step": 4100
    },
    {
      "epoch": 0.6738106835525247,
      "grad_norm": 22.468557357788086,
      "learning_rate": 3.4353102033840373e-06,
      "loss": 0.3741613006591797,
      "step": 4150
    },
    {
      "epoch": 0.6819288845591817,
      "grad_norm": 25.59876251220703,
      "learning_rate": 3.3498547256879173e-06,
      "loss": 0.36048294067382813,
      "step": 4200
    },
    {
      "epoch": 0.6900470855658386,
      "grad_norm": 22.22527503967285,
      "learning_rate": 3.2643992479917963e-06,
      "loss": 0.37268505096435545,
      "step": 4250
    },
    {
      "epoch": 0.6981652865724955,
      "grad_norm": 28.22504997253418,
      "learning_rate": 3.178943770295676e-06,
      "loss": 0.37072513580322264,
      "step": 4300
    },
    {
      "epoch": 0.7062834875791525,
      "grad_norm": 24.753620147705078,
      "learning_rate": 3.0934882925995557e-06,
      "loss": 0.3772608184814453,
      "step": 4350
    },
    {
      "epoch": 0.7144016885858094,
      "grad_norm": 21.472524642944336,
      "learning_rate": 3.0080328149034357e-06,
      "loss": 0.3767918395996094,
      "step": 4400
    },
    {
      "epoch": 0.7225198895924663,
      "grad_norm": 20.042434692382812,
      "learning_rate": 2.922577337207315e-06,
      "loss": 0.35776084899902344,
      "step": 4450
    },
    {
      "epoch": 0.7306380905991232,
      "grad_norm": 26.425474166870117,
      "learning_rate": 2.837121859511195e-06,
      "loss": 0.3714032363891602,
      "step": 4500
    },
    {
      "epoch": 0.7306380905991232,
      "eval_med-ir_cosine_accuracy@1": 0.2825,
      "eval_med-ir_cosine_accuracy@10": 0.7385,
      "eval_med-ir_cosine_accuracy@5": 0.6205,
      "eval_med-ir_cosine_map@10": 0.4226305555555555,
      "eval_med-ir_cosine_mrr@10": 0.42263055555555656,
      "eval_med-ir_cosine_ndcg@10": 0.49833703167334126,
      "eval_med-ir_cosine_precision@1": 0.2825,
      "eval_med-ir_cosine_precision@10": 0.07385,
      "eval_med-ir_cosine_precision@5": 0.12409999999999999,
      "eval_med-ir_cosine_recall@1": 0.2825,
      "eval_med-ir_cosine_recall@10": 0.7385,
      "eval_med-ir_cosine_recall@5": 0.6205,
      "eval_runtime": 53.7895,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 4500
    },
    {
      "epoch": 0.7387562916057802,
      "grad_norm": 26.73740005493164,
      "learning_rate": 2.7516663818150746e-06,
      "loss": 0.361860466003418,
      "step": 4550
    },
    {
      "epoch": 0.7468744926124371,
      "grad_norm": 24.87241554260254,
      "learning_rate": 2.6662109041189545e-06,
      "loss": 0.3520549774169922,
      "step": 4600
    },
    {
      "epoch": 0.754992693619094,
      "grad_norm": 26.929473876953125,
      "learning_rate": 2.580755426422834e-06,
      "loss": 0.3480554962158203,
      "step": 4650
    },
    {
      "epoch": 0.7631108946257509,
      "grad_norm": 23.16423988342285,
      "learning_rate": 2.4952999487267135e-06,
      "loss": 0.3567670822143555,
      "step": 4700
    },
    {
      "epoch": 0.7712290956324078,
      "grad_norm": 25.158023834228516,
      "learning_rate": 2.4098444710305934e-06,
      "loss": 0.3401494598388672,
      "step": 4750
    },
    {
      "epoch": 0.7793472966390648,
      "grad_norm": 24.92235565185547,
      "learning_rate": 2.324388993334473e-06,
      "loss": 0.3502649307250977,
      "step": 4800
    },
    {
      "epoch": 0.7874654976457217,
      "grad_norm": 26.56125831604004,
      "learning_rate": 2.238933515638353e-06,
      "loss": 0.3488694000244141,
      "step": 4850
    },
    {
      "epoch": 0.7955836986523787,
      "grad_norm": 23.622726440429688,
      "learning_rate": 2.1534780379422323e-06,
      "loss": 0.3652242279052734,
      "step": 4900
    },
    {
      "epoch": 0.8037018996590356,
      "grad_norm": 20.858903884887695,
      "learning_rate": 2.068022560246112e-06,
      "loss": 0.3325724411010742,
      "step": 4950
    },
    {
      "epoch": 0.8118201006656924,
      "grad_norm": 20.817094802856445,
      "learning_rate": 1.9825670825499917e-06,
      "loss": 0.3203390884399414,
      "step": 5000
    },
    {
      "epoch": 0.8118201006656924,
      "eval_med-ir_cosine_accuracy@1": 0.279,
      "eval_med-ir_cosine_accuracy@10": 0.759,
      "eval_med-ir_cosine_accuracy@5": 0.634,
      "eval_med-ir_cosine_map@10": 0.42655337301587304,
      "eval_med-ir_cosine_mrr@10": 0.4265533730158743,
      "eval_med-ir_cosine_ndcg@10": 0.5061113217420127,
      "eval_med-ir_cosine_precision@1": 0.279,
      "eval_med-ir_cosine_precision@10": 0.0759,
      "eval_med-ir_cosine_precision@5": 0.1268,
      "eval_med-ir_cosine_recall@1": 0.279,
      "eval_med-ir_cosine_recall@10": 0.759,
      "eval_med-ir_cosine_recall@5": 0.634,
      "eval_runtime": 54.156,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 5000
    },
    {
      "epoch": 0.8199383016723494,
      "grad_norm": 29.21719741821289,
      "learning_rate": 1.8971116048538712e-06,
      "loss": 0.33999378204345704,
      "step": 5050
    },
    {
      "epoch": 0.8280565026790063,
      "grad_norm": 22.970874786376953,
      "learning_rate": 1.811656127157751e-06,
      "loss": 0.32889713287353517,
      "step": 5100
    },
    {
      "epoch": 0.8361747036856633,
      "grad_norm": 26.276273727416992,
      "learning_rate": 1.7262006494616306e-06,
      "loss": 0.3310128784179687,
      "step": 5150
    },
    {
      "epoch": 0.8442929046923202,
      "grad_norm": 20.89864730834961,
      "learning_rate": 1.6407451717655103e-06,
      "loss": 0.3295163726806641,
      "step": 5200
    },
    {
      "epoch": 0.8524111056989772,
      "grad_norm": 24.932584762573242,
      "learning_rate": 1.5552896940693898e-06,
      "loss": 0.3437960433959961,
      "step": 5250
    },
    {
      "epoch": 0.860529306705634,
      "grad_norm": 23.775493621826172,
      "learning_rate": 1.4698342163732695e-06,
      "loss": 0.33298763275146487,
      "step": 5300
    },
    {
      "epoch": 0.8686475077122909,
      "grad_norm": 29.99721908569336,
      "learning_rate": 1.3843787386771493e-06,
      "loss": 0.32743927001953127,
      "step": 5350
    },
    {
      "epoch": 0.8767657087189479,
      "grad_norm": 25.415674209594727,
      "learning_rate": 1.298923260981029e-06,
      "loss": 0.3319583511352539,
      "step": 5400
    },
    {
      "epoch": 0.8848839097256048,
      "grad_norm": 32.18582534790039,
      "learning_rate": 1.2134677832849087e-06,
      "loss": 0.31978578567504884,
      "step": 5450
    },
    {
      "epoch": 0.8930021107322618,
      "grad_norm": 27.775585174560547,
      "learning_rate": 1.1280123055887884e-06,
      "loss": 0.32340446472167966,
      "step": 5500
    },
    {
      "epoch": 0.8930021107322618,
      "eval_med-ir_cosine_accuracy@1": 0.2765,
      "eval_med-ir_cosine_accuracy@10": 0.7545,
      "eval_med-ir_cosine_accuracy@5": 0.637,
      "eval_med-ir_cosine_map@10": 0.4253884920634921,
      "eval_med-ir_cosine_mrr@10": 0.4253884920634931,
      "eval_med-ir_cosine_ndcg@10": 0.5043877142438612,
      "eval_med-ir_cosine_precision@1": 0.2765,
      "eval_med-ir_cosine_precision@10": 0.07544999999999999,
      "eval_med-ir_cosine_precision@5": 0.12739999999999999,
      "eval_med-ir_cosine_recall@1": 0.2765,
      "eval_med-ir_cosine_recall@10": 0.7545,
      "eval_med-ir_cosine_recall@5": 0.637,
      "eval_runtime": 54.0392,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 5500
    },
    {
      "epoch": 0.9011203117389186,
      "grad_norm": 32.33552932739258,
      "learning_rate": 1.042556827892668e-06,
      "loss": 0.33356422424316406,
      "step": 5550
    },
    {
      "epoch": 0.9092385127455755,
      "grad_norm": 23.15236473083496,
      "learning_rate": 9.571013501965478e-07,
      "loss": 0.3385953140258789,
      "step": 5600
    },
    {
      "epoch": 0.9173567137522325,
      "grad_norm": 30.797489166259766,
      "learning_rate": 8.716458725004273e-07,
      "loss": 0.3246933364868164,
      "step": 5650
    },
    {
      "epoch": 0.9254749147588894,
      "grad_norm": 25.329233169555664,
      "learning_rate": 7.86190394804307e-07,
      "loss": 0.30651926040649413,
      "step": 5700
    },
    {
      "epoch": 0.9335931157655464,
      "grad_norm": 28.337242126464844,
      "learning_rate": 7.007349171081868e-07,
      "loss": 0.32125808715820314,
      "step": 5750
    },
    {
      "epoch": 0.9417113167722033,
      "grad_norm": 22.67081069946289,
      "learning_rate": 6.152794394120663e-07,
      "loss": 0.30203298568725584,
      "step": 5800
    },
    {
      "epoch": 0.9498295177788602,
      "grad_norm": 25.09941864013672,
      "learning_rate": 5.29823961715946e-07,
      "loss": 0.30792224884033204,
      "step": 5850
    },
    {
      "epoch": 0.9579477187855171,
      "grad_norm": 24.806812286376953,
      "learning_rate": 4.443684840198257e-07,
      "loss": 0.32098453521728515,
      "step": 5900
    },
    {
      "epoch": 0.966065919792174,
      "grad_norm": 28.93441390991211,
      "learning_rate": 3.5891300632370537e-07,
      "loss": 0.32343124389648437,
      "step": 5950
    },
    {
      "epoch": 0.974184120798831,
      "grad_norm": 19.86606788635254,
      "learning_rate": 2.734575286275851e-07,
      "loss": 0.3077443313598633,
      "step": 6000
    },
    {
      "epoch": 0.974184120798831,
      "eval_med-ir_cosine_accuracy@1": 0.2855,
      "eval_med-ir_cosine_accuracy@10": 0.761,
      "eval_med-ir_cosine_accuracy@5": 0.6395,
      "eval_med-ir_cosine_map@10": 0.4329404761904762,
      "eval_med-ir_cosine_mrr@10": 0.4329404761904774,
      "eval_med-ir_cosine_ndcg@10": 0.5116565481291894,
      "eval_med-ir_cosine_precision@1": 0.2855,
      "eval_med-ir_cosine_precision@10": 0.07610000000000001,
      "eval_med-ir_cosine_precision@5": 0.12789999999999999,
      "eval_med-ir_cosine_recall@1": 0.2855,
      "eval_med-ir_cosine_recall@10": 0.761,
      "eval_med-ir_cosine_recall@5": 0.6395,
      "eval_runtime": 53.9416,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 6000
    },
    {
      "epoch": 0.9823023218054879,
      "grad_norm": 24.82195281982422,
      "learning_rate": 1.8800205093146473e-07,
      "loss": 0.31442548751831056,
      "step": 6050
    },
    {
      "epoch": 0.9904205228121449,
      "grad_norm": 30.420351028442383,
      "learning_rate": 1.025465732353444e-07,
      "loss": 0.3207955169677734,
      "step": 6100
    },
    {
      "epoch": 0.9985387238188017,
      "grad_norm": 22.683935165405273,
      "learning_rate": 1.7091095539224067e-08,
      "loss": 0.32065597534179685,
      "step": 6150
    },
    {
      "epoch": 1.0,
      "eval_med-ir_cosine_accuracy@1": 0.284,
      "eval_med-ir_cosine_accuracy@10": 0.7635,
      "eval_med-ir_cosine_accuracy@5": 0.638,
      "eval_med-ir_cosine_map@10": 0.4322345238095239,
      "eval_med-ir_cosine_mrr@10": 0.432234523809525,
      "eval_med-ir_cosine_ndcg@10": 0.5116675566402742,
      "eval_med-ir_cosine_precision@1": 0.284,
      "eval_med-ir_cosine_precision@10": 0.07635,
      "eval_med-ir_cosine_precision@5": 0.1276,
      "eval_med-ir_cosine_recall@1": 0.284,
      "eval_med-ir_cosine_recall@10": 0.7635,
      "eval_med-ir_cosine_recall@5": 0.638,
      "eval_runtime": 54.7357,
      "eval_samples_per_second": 0.0,
      "eval_steps_per_second": 0.0,
      "step": 6159
    }
  ],
  "logging_steps": 50,
  "max_steps": 6159,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 0.0,
  "train_batch_size": 192,
  "trial_name": null,
  "trial_params": null
}