| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 100.0, | |
| "global_step": 4600, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.531720741599073, | |
| "eval_f1": 0.022944550669216066, | |
| "eval_loss": 1.042980432510376, | |
| "eval_precision": 0.013824884792626729, | |
| "eval_recall": 0.06741573033707865, | |
| "eval_runtime": 2.6201, | |
| "eval_samples_per_second": 52.67, | |
| "eval_steps_per_second": 4.58, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.5824159907300116, | |
| "eval_f1": 0.05216284987277353, | |
| "eval_loss": 0.9423891305923462, | |
| "eval_precision": 0.03637976929902396, | |
| "eval_recall": 0.09213483146067415, | |
| "eval_runtime": 2.6433, | |
| "eval_samples_per_second": 52.207, | |
| "eval_steps_per_second": 4.54, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6006662804171495, | |
| "eval_f1": 0.06494287432351173, | |
| "eval_loss": 0.8916851282119751, | |
| "eval_precision": 0.04433497536945813, | |
| "eval_recall": 0.12134831460674157, | |
| "eval_runtime": 2.6927, | |
| "eval_samples_per_second": 51.249, | |
| "eval_steps_per_second": 4.456, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6420191193511008, | |
| "eval_f1": 0.10659560293137908, | |
| "eval_loss": 0.826358437538147, | |
| "eval_precision": 0.07575757575757576, | |
| "eval_recall": 0.1797752808988764, | |
| "eval_runtime": 2.6923, | |
| "eval_samples_per_second": 51.257, | |
| "eval_steps_per_second": 4.457, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6395567786790266, | |
| "eval_f1": 0.17535903250188964, | |
| "eval_loss": 0.9059988260269165, | |
| "eval_precision": 0.13211845102505695, | |
| "eval_recall": 0.2606741573033708, | |
| "eval_runtime": 2.718, | |
| "eval_samples_per_second": 50.774, | |
| "eval_steps_per_second": 4.415, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6408603707995365, | |
| "eval_f1": 0.16282420749279541, | |
| "eval_loss": 0.9093501567840576, | |
| "eval_precision": 0.11983032873807, | |
| "eval_recall": 0.2539325842696629, | |
| "eval_runtime": 2.7417, | |
| "eval_samples_per_second": 50.334, | |
| "eval_steps_per_second": 4.377, | |
| "step": 276 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.6427433371958285, | |
| "eval_f1": 0.17168481742472771, | |
| "eval_loss": 1.0060389041900635, | |
| "eval_precision": 0.12007168458781362, | |
| "eval_recall": 0.30112359550561796, | |
| "eval_runtime": 2.7409, | |
| "eval_samples_per_second": 50.348, | |
| "eval_steps_per_second": 4.378, | |
| "step": 322 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.6558516801853997, | |
| "eval_f1": 0.17363344051446947, | |
| "eval_loss": 1.1526994705200195, | |
| "eval_precision": 0.12162162162162163, | |
| "eval_recall": 0.30337078651685395, | |
| "eval_runtime": 2.7362, | |
| "eval_samples_per_second": 50.435, | |
| "eval_steps_per_second": 4.386, | |
| "step": 368 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.6541859791425261, | |
| "eval_f1": 0.16133004926108374, | |
| "eval_loss": 1.0466786623001099, | |
| "eval_precision": 0.1111111111111111, | |
| "eval_recall": 0.2943820224719101, | |
| "eval_runtime": 2.7242, | |
| "eval_samples_per_second": 50.657, | |
| "eval_steps_per_second": 4.405, | |
| "step": 414 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.6379634994206257, | |
| "eval_f1": 0.19889502762430938, | |
| "eval_loss": 1.185328722000122, | |
| "eval_precision": 0.14356929212362912, | |
| "eval_recall": 0.3235955056179775, | |
| "eval_runtime": 2.7468, | |
| "eval_samples_per_second": 50.24, | |
| "eval_steps_per_second": 4.369, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 10.87, | |
| "learning_rate": 1.782608695652174e-05, | |
| "loss": 0.5814, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.6622972190034763, | |
| "eval_f1": 0.24944974321349964, | |
| "eval_loss": 1.2020127773284912, | |
| "eval_precision": 0.18518518518518517, | |
| "eval_recall": 0.38202247191011235, | |
| "eval_runtime": 2.7642, | |
| "eval_samples_per_second": 49.924, | |
| "eval_steps_per_second": 4.341, | |
| "step": 506 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.6589658169177288, | |
| "eval_f1": 0.2267481330617787, | |
| "eval_loss": 1.3076611757278442, | |
| "eval_precision": 0.16245136186770429, | |
| "eval_recall": 0.3752808988764045, | |
| "eval_runtime": 2.7844, | |
| "eval_samples_per_second": 49.562, | |
| "eval_steps_per_second": 4.31, | |
| "step": 552 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.6307213209733488, | |
| "eval_f1": 0.2636015325670498, | |
| "eval_loss": 1.294709324836731, | |
| "eval_precision": 0.2, | |
| "eval_recall": 0.3865168539325843, | |
| "eval_runtime": 2.7404, | |
| "eval_samples_per_second": 50.358, | |
| "eval_steps_per_second": 4.379, | |
| "step": 598 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.6591830822711472, | |
| "eval_f1": 0.3390663390663391, | |
| "eval_loss": 1.4205528497695923, | |
| "eval_precision": 0.2667525773195876, | |
| "eval_recall": 0.4651685393258427, | |
| "eval_runtime": 2.7797, | |
| "eval_samples_per_second": 49.646, | |
| "eval_steps_per_second": 4.317, | |
| "step": 644 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.6625869061413673, | |
| "eval_f1": 0.33782712133227594, | |
| "eval_loss": 1.475420355796814, | |
| "eval_precision": 0.2610294117647059, | |
| "eval_recall": 0.4786516853932584, | |
| "eval_runtime": 2.7429, | |
| "eval_samples_per_second": 50.312, | |
| "eval_steps_per_second": 4.375, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.6528099652375434, | |
| "eval_f1": 0.3605728727885425, | |
| "eval_loss": 1.6823292970657349, | |
| "eval_precision": 0.2884097035040431, | |
| "eval_recall": 0.48089887640449436, | |
| "eval_runtime": 2.7637, | |
| "eval_samples_per_second": 49.933, | |
| "eval_steps_per_second": 4.342, | |
| "step": 736 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.662369640787949, | |
| "eval_f1": 0.3175832687838885, | |
| "eval_loss": 1.6413644552230835, | |
| "eval_precision": 0.24231678486997635, | |
| "eval_recall": 0.4606741573033708, | |
| "eval_runtime": 2.7668, | |
| "eval_samples_per_second": 49.877, | |
| "eval_steps_per_second": 4.337, | |
| "step": 782 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.6634559675550405, | |
| "eval_f1": 0.2549647661755285, | |
| "eval_loss": 1.5539870262145996, | |
| "eval_precision": 0.17831541218637992, | |
| "eval_recall": 0.44719101123595506, | |
| "eval_runtime": 2.7564, | |
| "eval_samples_per_second": 50.065, | |
| "eval_steps_per_second": 4.353, | |
| "step": 828 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.65454808806489, | |
| "eval_f1": 0.32420429311621024, | |
| "eval_loss": 1.7641867399215698, | |
| "eval_precision": 0.24172185430463577, | |
| "eval_recall": 0.49213483146067416, | |
| "eval_runtime": 2.7607, | |
| "eval_samples_per_second": 49.987, | |
| "eval_steps_per_second": 4.347, | |
| "step": 874 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.6743192352259559, | |
| "eval_f1": 0.29172510518934086, | |
| "eval_loss": 1.6112134456634521, | |
| "eval_precision": 0.21202854230377166, | |
| "eval_recall": 0.46741573033707867, | |
| "eval_runtime": 2.7419, | |
| "eval_samples_per_second": 50.331, | |
| "eval_steps_per_second": 4.377, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_accuracy": 0.6320973348783314, | |
| "eval_f1": 0.2980225988700565, | |
| "eval_loss": 1.9230778217315674, | |
| "eval_precision": 0.21730175077239958, | |
| "eval_recall": 0.47415730337078654, | |
| "eval_runtime": 2.7602, | |
| "eval_samples_per_second": 49.997, | |
| "eval_steps_per_second": 4.348, | |
| "step": 966 | |
| }, | |
| { | |
| "epoch": 21.74, | |
| "learning_rate": 1.565217391304348e-05, | |
| "loss": 0.1098, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy": 0.6402085747392816, | |
| "eval_f1": 0.3536776212832551, | |
| "eval_loss": 2.1778900623321533, | |
| "eval_precision": 0.27130852340936373, | |
| "eval_recall": 0.5078651685393258, | |
| "eval_runtime": 2.7589, | |
| "eval_samples_per_second": 50.021, | |
| "eval_steps_per_second": 4.35, | |
| "step": 1012 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_accuracy": 0.6542584009269988, | |
| "eval_f1": 0.31053351573187415, | |
| "eval_loss": 1.8866859674453735, | |
| "eval_precision": 0.2232055063913471, | |
| "eval_recall": 0.5101123595505618, | |
| "eval_runtime": 2.7457, | |
| "eval_samples_per_second": 50.26, | |
| "eval_steps_per_second": 4.37, | |
| "step": 1058 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.6286935110081112, | |
| "eval_f1": 0.29891304347826086, | |
| "eval_loss": 2.057832956314087, | |
| "eval_precision": 0.21421616358325218, | |
| "eval_recall": 0.4943820224719101, | |
| "eval_runtime": 2.7704, | |
| "eval_samples_per_second": 49.813, | |
| "eval_steps_per_second": 4.332, | |
| "step": 1104 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy": 0.6264484356894554, | |
| "eval_f1": 0.2706571242680546, | |
| "eval_loss": 2.031670093536377, | |
| "eval_precision": 0.19047619047619047, | |
| "eval_recall": 0.46741573033707867, | |
| "eval_runtime": 2.7593, | |
| "eval_samples_per_second": 50.013, | |
| "eval_steps_per_second": 4.349, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy": 0.6575898030127463, | |
| "eval_f1": 0.34562211981566826, | |
| "eval_loss": 1.8547980785369873, | |
| "eval_precision": 0.26254375729288215, | |
| "eval_recall": 0.5056179775280899, | |
| "eval_runtime": 2.745, | |
| "eval_samples_per_second": 50.273, | |
| "eval_steps_per_second": 4.372, | |
| "step": 1196 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_accuracy": 0.6420915411355735, | |
| "eval_f1": 0.3376230128690386, | |
| "eval_loss": 2.0632588863372803, | |
| "eval_precision": 0.2545662100456621, | |
| "eval_recall": 0.501123595505618, | |
| "eval_runtime": 2.7583, | |
| "eval_samples_per_second": 50.03, | |
| "eval_steps_per_second": 4.35, | |
| "step": 1242 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.666787369640788, | |
| "eval_f1": 0.36335160532498045, | |
| "eval_loss": 1.943156123161316, | |
| "eval_precision": 0.27884615384615385, | |
| "eval_recall": 0.5213483146067416, | |
| "eval_runtime": 2.7624, | |
| "eval_samples_per_second": 49.957, | |
| "eval_steps_per_second": 4.344, | |
| "step": 1288 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_accuracy": 0.6518684820393974, | |
| "eval_f1": 0.32880629020729096, | |
| "eval_loss": 1.9604640007019043, | |
| "eval_precision": 0.24109014675052412, | |
| "eval_recall": 0.5168539325842697, | |
| "eval_runtime": 2.7551, | |
| "eval_samples_per_second": 50.089, | |
| "eval_steps_per_second": 4.356, | |
| "step": 1334 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.6587485515643106, | |
| "eval_f1": 0.3465045592705167, | |
| "eval_loss": 2.0531818866729736, | |
| "eval_precision": 0.2617680826636051, | |
| "eval_recall": 0.5123595505617977, | |
| "eval_runtime": 2.7577, | |
| "eval_samples_per_second": 50.042, | |
| "eval_steps_per_second": 4.352, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_accuracy": 0.6528099652375434, | |
| "eval_f1": 0.30739045127534337, | |
| "eval_loss": 1.9861180782318115, | |
| "eval_precision": 0.21678966789667897, | |
| "eval_recall": 0.5280898876404494, | |
| "eval_runtime": 2.7639, | |
| "eval_samples_per_second": 49.929, | |
| "eval_steps_per_second": 4.342, | |
| "step": 1426 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.6265932792584009, | |
| "eval_f1": 0.25979112271540467, | |
| "eval_loss": 2.3644657135009766, | |
| "eval_precision": 0.18307267709291627, | |
| "eval_recall": 0.44719101123595506, | |
| "eval_runtime": 2.7617, | |
| "eval_samples_per_second": 49.969, | |
| "eval_steps_per_second": 4.345, | |
| "step": 1472 | |
| }, | |
| { | |
| "epoch": 32.61, | |
| "learning_rate": 1.3478260869565218e-05, | |
| "loss": 0.0461, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_accuracy": 0.6571552723059096, | |
| "eval_f1": 0.2733908427339084, | |
| "eval_loss": 2.0718517303466797, | |
| "eval_precision": 0.19397363465160075, | |
| "eval_recall": 0.46292134831460674, | |
| "eval_runtime": 2.7478, | |
| "eval_samples_per_second": 50.223, | |
| "eval_steps_per_second": 4.367, | |
| "step": 1518 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_accuracy": 0.6454953650057937, | |
| "eval_f1": 0.2763246143527833, | |
| "eval_loss": 2.050283193588257, | |
| "eval_precision": 0.19694072657743786, | |
| "eval_recall": 0.46292134831460674, | |
| "eval_runtime": 2.7452, | |
| "eval_samples_per_second": 50.27, | |
| "eval_steps_per_second": 4.371, | |
| "step": 1564 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy": 0.6310110081112399, | |
| "eval_f1": 0.26170622193713916, | |
| "eval_loss": 2.261981964111328, | |
| "eval_precision": 0.18312387791741472, | |
| "eval_recall": 0.4584269662921348, | |
| "eval_runtime": 2.7577, | |
| "eval_samples_per_second": 50.041, | |
| "eval_steps_per_second": 4.351, | |
| "step": 1610 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_accuracy": 0.6399188876013905, | |
| "eval_f1": 0.3131313131313131, | |
| "eval_loss": 2.217377185821533, | |
| "eval_precision": 0.230605738575983, | |
| "eval_recall": 0.48764044943820223, | |
| "eval_runtime": 2.7643, | |
| "eval_samples_per_second": 49.922, | |
| "eval_steps_per_second": 4.341, | |
| "step": 1656 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_accuracy": 0.6441917728852838, | |
| "eval_f1": 0.314410480349345, | |
| "eval_loss": 2.3862390518188477, | |
| "eval_precision": 0.232508073196986, | |
| "eval_recall": 0.4853932584269663, | |
| "eval_runtime": 2.7654, | |
| "eval_samples_per_second": 49.903, | |
| "eval_steps_per_second": 4.339, | |
| "step": 1702 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_accuracy": 0.6550550405561993, | |
| "eval_f1": 0.3128571428571429, | |
| "eval_loss": 2.0702590942382812, | |
| "eval_precision": 0.2293193717277487, | |
| "eval_recall": 0.49213483146067416, | |
| "eval_runtime": 2.7536, | |
| "eval_samples_per_second": 50.116, | |
| "eval_steps_per_second": 4.358, | |
| "step": 1748 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_accuracy": 0.6577346465816918, | |
| "eval_f1": 0.343939393939394, | |
| "eval_loss": 2.151489019393921, | |
| "eval_precision": 0.25942857142857145, | |
| "eval_recall": 0.5101123595505618, | |
| "eval_runtime": 2.7686, | |
| "eval_samples_per_second": 49.844, | |
| "eval_steps_per_second": 4.334, | |
| "step": 1794 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy": 0.647595596755504, | |
| "eval_f1": 0.3431151241534989, | |
| "eval_loss": 2.1895194053649902, | |
| "eval_precision": 0.2579185520361991, | |
| "eval_recall": 0.5123595505617977, | |
| "eval_runtime": 2.7697, | |
| "eval_samples_per_second": 49.825, | |
| "eval_steps_per_second": 4.333, | |
| "step": 1840 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "eval_accuracy": 0.6629490150637312, | |
| "eval_f1": 0.3240810202550638, | |
| "eval_loss": 2.175402879714966, | |
| "eval_precision": 0.24324324324324326, | |
| "eval_recall": 0.4853932584269663, | |
| "eval_runtime": 2.7386, | |
| "eval_samples_per_second": 50.39, | |
| "eval_steps_per_second": 4.382, | |
| "step": 1886 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_accuracy": 0.650130359212051, | |
| "eval_f1": 0.31381055676066527, | |
| "eval_loss": 2.3337295055389404, | |
| "eval_precision": 0.23134328358208955, | |
| "eval_recall": 0.48764044943820223, | |
| "eval_runtime": 2.775, | |
| "eval_samples_per_second": 49.729, | |
| "eval_steps_per_second": 4.324, | |
| "step": 1932 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "eval_accuracy": 0.6625869061413673, | |
| "eval_f1": 0.312180889861415, | |
| "eval_loss": 2.1595537662506104, | |
| "eval_precision": 0.23110151187904968, | |
| "eval_recall": 0.48089887640449436, | |
| "eval_runtime": 2.7514, | |
| "eval_samples_per_second": 50.156, | |
| "eval_steps_per_second": 4.361, | |
| "step": 1978 | |
| }, | |
| { | |
| "epoch": 43.48, | |
| "learning_rate": 1.1304347826086957e-05, | |
| "loss": 0.0323, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_accuracy": 0.6530272305909618, | |
| "eval_f1": 0.3159379407616361, | |
| "eval_loss": 2.2453536987304688, | |
| "eval_precision": 0.2302158273381295, | |
| "eval_recall": 0.503370786516854, | |
| "eval_runtime": 2.7499, | |
| "eval_samples_per_second": 50.184, | |
| "eval_steps_per_second": 4.364, | |
| "step": 2024 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy": 0.6525926998841252, | |
| "eval_f1": 0.2999299229152067, | |
| "eval_loss": 2.1538333892822266, | |
| "eval_precision": 0.21792260692464357, | |
| "eval_recall": 0.48089887640449436, | |
| "eval_runtime": 2.772, | |
| "eval_samples_per_second": 49.784, | |
| "eval_steps_per_second": 4.329, | |
| "step": 2070 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_accuracy": 0.6556344148319815, | |
| "eval_f1": 0.2761290322580645, | |
| "eval_loss": 2.1632461547851562, | |
| "eval_precision": 0.19366515837104073, | |
| "eval_recall": 0.48089887640449436, | |
| "eval_runtime": 2.7668, | |
| "eval_samples_per_second": 49.877, | |
| "eval_steps_per_second": 4.337, | |
| "step": 2116 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "eval_accuracy": 0.6575898030127463, | |
| "eval_f1": 0.2993762993762994, | |
| "eval_loss": 2.178040027618408, | |
| "eval_precision": 0.21643286573146292, | |
| "eval_recall": 0.4853932584269663, | |
| "eval_runtime": 2.7774, | |
| "eval_samples_per_second": 49.686, | |
| "eval_steps_per_second": 4.321, | |
| "step": 2162 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.6502027809965237, | |
| "eval_f1": 0.29047949965253644, | |
| "eval_loss": 2.3481132984161377, | |
| "eval_precision": 0.21026156941649898, | |
| "eval_recall": 0.4696629213483146, | |
| "eval_runtime": 2.758, | |
| "eval_samples_per_second": 50.036, | |
| "eval_steps_per_second": 4.351, | |
| "step": 2208 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "eval_accuracy": 0.6594003476245655, | |
| "eval_f1": 0.2608695652173913, | |
| "eval_loss": 2.1968982219696045, | |
| "eval_precision": 0.18452935694315004, | |
| "eval_recall": 0.4449438202247191, | |
| "eval_runtime": 2.7601, | |
| "eval_samples_per_second": 49.997, | |
| "eval_steps_per_second": 4.348, | |
| "step": 2254 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy": 0.6613557358053302, | |
| "eval_f1": 0.27965540092776675, | |
| "eval_loss": 2.1524665355682373, | |
| "eval_precision": 0.19830827067669174, | |
| "eval_recall": 0.47415730337078654, | |
| "eval_runtime": 2.7622, | |
| "eval_samples_per_second": 49.96, | |
| "eval_steps_per_second": 4.344, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "eval_accuracy": 0.6413673232908459, | |
| "eval_f1": 0.26915647134578236, | |
| "eval_loss": 2.244340658187866, | |
| "eval_precision": 0.18862815884476533, | |
| "eval_recall": 0.4696629213483146, | |
| "eval_runtime": 2.7474, | |
| "eval_samples_per_second": 50.229, | |
| "eval_steps_per_second": 4.368, | |
| "step": 2346 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_accuracy": 0.6659907300115875, | |
| "eval_f1": 0.29979181124219295, | |
| "eval_loss": 2.1262786388397217, | |
| "eval_precision": 0.21686746987951808, | |
| "eval_recall": 0.4853932584269663, | |
| "eval_runtime": 2.7827, | |
| "eval_samples_per_second": 49.592, | |
| "eval_steps_per_second": 4.312, | |
| "step": 2392 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "eval_accuracy": 0.6543308227114716, | |
| "eval_f1": 0.27220447284345045, | |
| "eval_loss": 2.178636074066162, | |
| "eval_precision": 0.19017857142857142, | |
| "eval_recall": 0.4786516853932584, | |
| "eval_runtime": 2.7405, | |
| "eval_samples_per_second": 50.356, | |
| "eval_steps_per_second": 4.379, | |
| "step": 2438 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_accuracy": 0.6599797219003476, | |
| "eval_f1": 0.3191800878477306, | |
| "eval_loss": 2.2686634063720703, | |
| "eval_precision": 0.23669923995656894, | |
| "eval_recall": 0.4898876404494382, | |
| "eval_runtime": 2.7587, | |
| "eval_samples_per_second": 50.024, | |
| "eval_steps_per_second": 4.35, | |
| "step": 2484 | |
| }, | |
| { | |
| "epoch": 54.35, | |
| "learning_rate": 9.130434782608697e-06, | |
| "loss": 0.0289, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy": 0.6491164542294322, | |
| "eval_f1": 0.3539412673879443, | |
| "eval_loss": 2.4480252265930176, | |
| "eval_precision": 0.2697290930506478, | |
| "eval_recall": 0.5146067415730337, | |
| "eval_runtime": 2.7586, | |
| "eval_samples_per_second": 50.026, | |
| "eval_steps_per_second": 4.35, | |
| "step": 2530 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_accuracy": 0.658603707995365, | |
| "eval_f1": 0.32152974504249293, | |
| "eval_loss": 2.241455078125, | |
| "eval_precision": 0.23474663908996898, | |
| "eval_recall": 0.5101123595505618, | |
| "eval_runtime": 2.7669, | |
| "eval_samples_per_second": 49.875, | |
| "eval_steps_per_second": 4.337, | |
| "step": 2576 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "eval_accuracy": 0.6625144843568945, | |
| "eval_f1": 0.33824670287044223, | |
| "eval_loss": 2.2077813148498535, | |
| "eval_precision": 0.25829383886255924, | |
| "eval_recall": 0.4898876404494382, | |
| "eval_runtime": 2.7555, | |
| "eval_samples_per_second": 50.082, | |
| "eval_steps_per_second": 4.355, | |
| "step": 2622 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_accuracy": 0.6491164542294322, | |
| "eval_f1": 0.30736240171551105, | |
| "eval_loss": 2.3162100315093994, | |
| "eval_precision": 0.22536687631027252, | |
| "eval_recall": 0.48314606741573035, | |
| "eval_runtime": 2.7573, | |
| "eval_samples_per_second": 50.049, | |
| "eval_steps_per_second": 4.352, | |
| "step": 2668 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "eval_accuracy": 0.654837775202781, | |
| "eval_f1": 0.35776201733648544, | |
| "eval_loss": 2.3420791625976562, | |
| "eval_precision": 0.27548543689320387, | |
| "eval_recall": 0.5101123595505618, | |
| "eval_runtime": 2.7605, | |
| "eval_samples_per_second": 49.991, | |
| "eval_steps_per_second": 4.347, | |
| "step": 2714 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy": 0.6544032444959443, | |
| "eval_f1": 0.3475609756097561, | |
| "eval_loss": 2.3971171379089355, | |
| "eval_precision": 0.2629757785467128, | |
| "eval_recall": 0.5123595505617977, | |
| "eval_runtime": 2.7631, | |
| "eval_samples_per_second": 49.943, | |
| "eval_steps_per_second": 4.343, | |
| "step": 2760 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "eval_accuracy": 0.6589658169177288, | |
| "eval_f1": 0.356979405034325, | |
| "eval_loss": 2.2836458683013916, | |
| "eval_precision": 0.2702078521939954, | |
| "eval_recall": 0.5258426966292135, | |
| "eval_runtime": 2.7541, | |
| "eval_samples_per_second": 50.107, | |
| "eval_steps_per_second": 4.357, | |
| "step": 2806 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "eval_accuracy": 0.6542584009269988, | |
| "eval_f1": 0.35784685367702807, | |
| "eval_loss": 2.3359830379486084, | |
| "eval_precision": 0.2700228832951945, | |
| "eval_recall": 0.5303370786516854, | |
| "eval_runtime": 2.7479, | |
| "eval_samples_per_second": 50.22, | |
| "eval_steps_per_second": 4.367, | |
| "step": 2852 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "eval_accuracy": 0.6491164542294322, | |
| "eval_f1": 0.36519036519036524, | |
| "eval_loss": 2.386730194091797, | |
| "eval_precision": 0.27909738717339666, | |
| "eval_recall": 0.5280898876404494, | |
| "eval_runtime": 2.7514, | |
| "eval_samples_per_second": 50.155, | |
| "eval_steps_per_second": 4.361, | |
| "step": 2898 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "eval_accuracy": 0.6441917728852838, | |
| "eval_f1": 0.35186595582635183, | |
| "eval_loss": 2.383052349090576, | |
| "eval_precision": 0.2661290322580645, | |
| "eval_recall": 0.5191011235955056, | |
| "eval_runtime": 2.7602, | |
| "eval_samples_per_second": 49.996, | |
| "eval_steps_per_second": 4.347, | |
| "step": 2944 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "eval_accuracy": 0.6536790266512167, | |
| "eval_f1": 0.3841166936790924, | |
| "eval_loss": 2.5153658390045166, | |
| "eval_precision": 0.30038022813688214, | |
| "eval_recall": 0.5325842696629214, | |
| "eval_runtime": 2.7644, | |
| "eval_samples_per_second": 49.92, | |
| "eval_steps_per_second": 4.341, | |
| "step": 2990 | |
| }, | |
| { | |
| "epoch": 65.22, | |
| "learning_rate": 6.956521739130435e-06, | |
| "loss": 0.0147, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "eval_accuracy": 0.664904403244496, | |
| "eval_f1": 0.37846655791190864, | |
| "eval_loss": 2.3971505165100098, | |
| "eval_precision": 0.2970550576184379, | |
| "eval_recall": 0.5213483146067416, | |
| "eval_runtime": 2.7665, | |
| "eval_samples_per_second": 49.882, | |
| "eval_steps_per_second": 4.338, | |
| "step": 3036 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "eval_accuracy": 0.6633835457705678, | |
| "eval_f1": 0.36391912908242613, | |
| "eval_loss": 2.3396737575531006, | |
| "eval_precision": 0.27824019024970276, | |
| "eval_recall": 0.5258426966292135, | |
| "eval_runtime": 2.7947, | |
| "eval_samples_per_second": 49.379, | |
| "eval_steps_per_second": 4.294, | |
| "step": 3082 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "eval_accuracy": 0.6564310544611819, | |
| "eval_f1": 0.35294117647058826, | |
| "eval_loss": 2.459906816482544, | |
| "eval_precision": 0.269185360094451, | |
| "eval_recall": 0.5123595505617977, | |
| "eval_runtime": 2.748, | |
| "eval_samples_per_second": 50.218, | |
| "eval_steps_per_second": 4.367, | |
| "step": 3128 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "eval_accuracy": 0.6593279258400927, | |
| "eval_f1": 0.36205533596837947, | |
| "eval_loss": 2.3763880729675293, | |
| "eval_precision": 0.27926829268292686, | |
| "eval_recall": 0.5146067415730337, | |
| "eval_runtime": 2.7664, | |
| "eval_samples_per_second": 49.884, | |
| "eval_steps_per_second": 4.338, | |
| "step": 3174 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "eval_accuracy": 0.654837775202781, | |
| "eval_f1": 0.3348148148148148, | |
| "eval_loss": 2.368340492248535, | |
| "eval_precision": 0.24972375690607734, | |
| "eval_recall": 0.5078651685393258, | |
| "eval_runtime": 2.7667, | |
| "eval_samples_per_second": 49.878, | |
| "eval_steps_per_second": 4.337, | |
| "step": 3220 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "eval_accuracy": 0.6617902665121669, | |
| "eval_f1": 0.32901751713632904, | |
| "eval_loss": 2.3155479431152344, | |
| "eval_precision": 0.2488479262672811, | |
| "eval_recall": 0.4853932584269663, | |
| "eval_runtime": 2.7611, | |
| "eval_samples_per_second": 49.981, | |
| "eval_steps_per_second": 4.346, | |
| "step": 3266 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "eval_accuracy": 0.6662804171494786, | |
| "eval_f1": 0.3543307086614173, | |
| "eval_loss": 2.3285837173461914, | |
| "eval_precision": 0.2727272727272727, | |
| "eval_recall": 0.5056179775280899, | |
| "eval_runtime": 2.7664, | |
| "eval_samples_per_second": 49.885, | |
| "eval_steps_per_second": 4.338, | |
| "step": 3312 | |
| }, | |
| { | |
| "epoch": 73.0, | |
| "eval_accuracy": 0.6607763615295481, | |
| "eval_f1": 0.33206397562833206, | |
| "eval_loss": 2.3957254886627197, | |
| "eval_precision": 0.2511520737327189, | |
| "eval_recall": 0.4898876404494382, | |
| "eval_runtime": 2.7653, | |
| "eval_samples_per_second": 49.905, | |
| "eval_steps_per_second": 4.34, | |
| "step": 3358 | |
| }, | |
| { | |
| "epoch": 74.0, | |
| "eval_accuracy": 0.6594727694090382, | |
| "eval_f1": 0.3111432706222865, | |
| "eval_loss": 2.3470306396484375, | |
| "eval_precision": 0.2294557097118463, | |
| "eval_recall": 0.48314606741573035, | |
| "eval_runtime": 2.7615, | |
| "eval_samples_per_second": 49.973, | |
| "eval_steps_per_second": 4.345, | |
| "step": 3404 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "eval_accuracy": 0.6536066048667439, | |
| "eval_f1": 0.32770022042615726, | |
| "eval_loss": 2.451366424560547, | |
| "eval_precision": 0.24344978165938866, | |
| "eval_recall": 0.501123595505618, | |
| "eval_runtime": 2.7612, | |
| "eval_samples_per_second": 49.977, | |
| "eval_steps_per_second": 4.346, | |
| "step": 3450 | |
| }, | |
| { | |
| "epoch": 76.0, | |
| "eval_accuracy": 0.659545191193511, | |
| "eval_f1": 0.3306152705707932, | |
| "eval_loss": 2.346513271331787, | |
| "eval_precision": 0.24668141592920353, | |
| "eval_recall": 0.501123595505618, | |
| "eval_runtime": 2.7429, | |
| "eval_samples_per_second": 50.311, | |
| "eval_steps_per_second": 4.375, | |
| "step": 3496 | |
| }, | |
| { | |
| "epoch": 76.09, | |
| "learning_rate": 4.782608695652174e-06, | |
| "loss": 0.0156, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 77.0, | |
| "eval_accuracy": 0.6538238702201622, | |
| "eval_f1": 0.3167746580273578, | |
| "eval_loss": 2.42856502532959, | |
| "eval_precision": 0.2330508474576271, | |
| "eval_recall": 0.4943820224719101, | |
| "eval_runtime": 2.7674, | |
| "eval_samples_per_second": 49.867, | |
| "eval_steps_per_second": 4.336, | |
| "step": 3542 | |
| }, | |
| { | |
| "epoch": 78.0, | |
| "eval_accuracy": 0.6603418308227115, | |
| "eval_f1": 0.336559940431869, | |
| "eval_loss": 2.3454573154449463, | |
| "eval_precision": 0.2516703786191537, | |
| "eval_recall": 0.5078651685393258, | |
| "eval_runtime": 2.7701, | |
| "eval_samples_per_second": 49.818, | |
| "eval_steps_per_second": 4.332, | |
| "step": 3588 | |
| }, | |
| { | |
| "epoch": 79.0, | |
| "eval_accuracy": 0.655489571263036, | |
| "eval_f1": 0.3257520176082172, | |
| "eval_loss": 2.332895040512085, | |
| "eval_precision": 0.24183006535947713, | |
| "eval_recall": 0.49887640449438203, | |
| "eval_runtime": 2.7724, | |
| "eval_samples_per_second": 49.776, | |
| "eval_steps_per_second": 4.328, | |
| "step": 3634 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy": 0.6509269988412515, | |
| "eval_f1": 0.3096960926193922, | |
| "eval_loss": 2.4176864624023438, | |
| "eval_precision": 0.22838847385272146, | |
| "eval_recall": 0.48089887640449436, | |
| "eval_runtime": 2.7816, | |
| "eval_samples_per_second": 49.612, | |
| "eval_steps_per_second": 4.314, | |
| "step": 3680 | |
| }, | |
| { | |
| "epoch": 81.0, | |
| "eval_accuracy": 0.663311123986095, | |
| "eval_f1": 0.31703703703703706, | |
| "eval_loss": 2.322171926498413, | |
| "eval_precision": 0.23646408839779007, | |
| "eval_recall": 0.48089887640449436, | |
| "eval_runtime": 2.7495, | |
| "eval_samples_per_second": 50.191, | |
| "eval_steps_per_second": 4.364, | |
| "step": 3726 | |
| }, | |
| { | |
| "epoch": 82.0, | |
| "eval_accuracy": 0.6552723059096176, | |
| "eval_f1": 0.3291512915129151, | |
| "eval_loss": 2.358896493911743, | |
| "eval_precision": 0.24505494505494504, | |
| "eval_recall": 0.501123595505618, | |
| "eval_runtime": 2.7748, | |
| "eval_samples_per_second": 49.733, | |
| "eval_steps_per_second": 4.325, | |
| "step": 3772 | |
| }, | |
| { | |
| "epoch": 83.0, | |
| "eval_accuracy": 0.6573001158748552, | |
| "eval_f1": 0.3404907975460122, | |
| "eval_loss": 2.3836281299591064, | |
| "eval_precision": 0.25844004656577413, | |
| "eval_recall": 0.49887640449438203, | |
| "eval_runtime": 2.7586, | |
| "eval_samples_per_second": 50.025, | |
| "eval_steps_per_second": 4.35, | |
| "step": 3818 | |
| }, | |
| { | |
| "epoch": 84.0, | |
| "eval_accuracy": 0.6519409038238703, | |
| "eval_f1": 0.35154394299287417, | |
| "eval_loss": 2.417782783508301, | |
| "eval_precision": 0.2713936430317848, | |
| "eval_recall": 0.49887640449438203, | |
| "eval_runtime": 2.751, | |
| "eval_samples_per_second": 50.164, | |
| "eval_steps_per_second": 4.362, | |
| "step": 3864 | |
| }, | |
| { | |
| "epoch": 85.0, | |
| "eval_accuracy": 0.6506373117033604, | |
| "eval_f1": 0.35266084193804603, | |
| "eval_loss": 2.494265079498291, | |
| "eval_precision": 0.2727272727272727, | |
| "eval_recall": 0.49887640449438203, | |
| "eval_runtime": 2.791, | |
| "eval_samples_per_second": 49.444, | |
| "eval_steps_per_second": 4.299, | |
| "step": 3910 | |
| }, | |
| { | |
| "epoch": 86.0, | |
| "eval_accuracy": 0.6568655851680185, | |
| "eval_f1": 0.34029389017788086, | |
| "eval_loss": 2.3840575218200684, | |
| "eval_precision": 0.25943396226415094, | |
| "eval_recall": 0.4943820224719101, | |
| "eval_runtime": 2.7591, | |
| "eval_samples_per_second": 50.016, | |
| "eval_steps_per_second": 4.349, | |
| "step": 3956 | |
| }, | |
| { | |
| "epoch": 86.96, | |
| "learning_rate": 2.6086956521739132e-06, | |
| "loss": 0.0172, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 87.0, | |
| "eval_accuracy": 0.6472334878331402, | |
| "eval_f1": 0.3413498836307215, | |
| "eval_loss": 2.444718599319458, | |
| "eval_precision": 0.26066350710900477, | |
| "eval_recall": 0.4943820224719101, | |
| "eval_runtime": 2.7661, | |
| "eval_samples_per_second": 49.89, | |
| "eval_steps_per_second": 4.338, | |
| "step": 4002 | |
| }, | |
| { | |
| "epoch": 88.0, | |
| "eval_accuracy": 0.6479577056778679, | |
| "eval_f1": 0.36450079239302696, | |
| "eval_loss": 2.4771909713745117, | |
| "eval_precision": 0.28151774785801714, | |
| "eval_recall": 0.5168539325842697, | |
| "eval_runtime": 2.7594, | |
| "eval_samples_per_second": 50.01, | |
| "eval_steps_per_second": 4.349, | |
| "step": 4048 | |
| }, | |
| { | |
| "epoch": 89.0, | |
| "eval_accuracy": 0.6564310544611819, | |
| "eval_f1": 0.36450839328537166, | |
| "eval_loss": 2.3940951824188232, | |
| "eval_precision": 0.28287841191067, | |
| "eval_recall": 0.5123595505617977, | |
| "eval_runtime": 2.766, | |
| "eval_samples_per_second": 49.892, | |
| "eval_steps_per_second": 4.338, | |
| "step": 4094 | |
| }, | |
| { | |
| "epoch": 90.0, | |
| "eval_accuracy": 0.664904403244496, | |
| "eval_f1": 0.36421725239616615, | |
| "eval_loss": 2.3723766803741455, | |
| "eval_precision": 0.2825278810408922, | |
| "eval_recall": 0.5123595505617977, | |
| "eval_runtime": 2.7724, | |
| "eval_samples_per_second": 49.776, | |
| "eval_steps_per_second": 4.328, | |
| "step": 4140 | |
| }, | |
| { | |
| "epoch": 91.0, | |
| "eval_accuracy": 0.6589658169177288, | |
| "eval_f1": 0.35759493670886083, | |
| "eval_loss": 2.412285566329956, | |
| "eval_precision": 0.27594627594627597, | |
| "eval_recall": 0.5078651685393258, | |
| "eval_runtime": 2.7583, | |
| "eval_samples_per_second": 50.03, | |
| "eval_steps_per_second": 4.35, | |
| "step": 4186 | |
| }, | |
| { | |
| "epoch": 92.0, | |
| "eval_accuracy": 0.6568655851680185, | |
| "eval_f1": 0.3537735849056604, | |
| "eval_loss": 2.4169280529022217, | |
| "eval_precision": 0.2720677146311971, | |
| "eval_recall": 0.5056179775280899, | |
| "eval_runtime": 2.7606, | |
| "eval_samples_per_second": 49.989, | |
| "eval_steps_per_second": 4.347, | |
| "step": 4232 | |
| }, | |
| { | |
| "epoch": 93.0, | |
| "eval_accuracy": 0.6580243337195828, | |
| "eval_f1": 0.34843749999999996, | |
| "eval_loss": 2.4057414531707764, | |
| "eval_precision": 0.26706586826347306, | |
| "eval_recall": 0.501123595505618, | |
| "eval_runtime": 2.7672, | |
| "eval_samples_per_second": 49.87, | |
| "eval_steps_per_second": 4.337, | |
| "step": 4278 | |
| }, | |
| { | |
| "epoch": 94.0, | |
| "eval_accuracy": 0.6558516801853997, | |
| "eval_f1": 0.34493426140757927, | |
| "eval_loss": 2.417436361312866, | |
| "eval_precision": 0.26297169811320753, | |
| "eval_recall": 0.501123595505618, | |
| "eval_runtime": 2.7713, | |
| "eval_samples_per_second": 49.796, | |
| "eval_steps_per_second": 4.33, | |
| "step": 4324 | |
| }, | |
| { | |
| "epoch": 95.0, | |
| "eval_accuracy": 0.6587485515643106, | |
| "eval_f1": 0.3555555555555556, | |
| "eval_loss": 2.4058446884155273, | |
| "eval_precision": 0.2748466257668712, | |
| "eval_recall": 0.503370786516854, | |
| "eval_runtime": 2.7567, | |
| "eval_samples_per_second": 50.06, | |
| "eval_steps_per_second": 4.353, | |
| "step": 4370 | |
| }, | |
| { | |
| "epoch": 96.0, | |
| "eval_accuracy": 0.6549101969872537, | |
| "eval_f1": 0.3468118195956454, | |
| "eval_loss": 2.423997163772583, | |
| "eval_precision": 0.26516052318668254, | |
| "eval_recall": 0.501123595505618, | |
| "eval_runtime": 2.7522, | |
| "eval_samples_per_second": 50.142, | |
| "eval_steps_per_second": 4.36, | |
| "step": 4416 | |
| }, | |
| { | |
| "epoch": 97.0, | |
| "eval_accuracy": 0.6596900347624566, | |
| "eval_f1": 0.3534956794972506, | |
| "eval_loss": 2.406991720199585, | |
| "eval_precision": 0.2717391304347826, | |
| "eval_recall": 0.5056179775280899, | |
| "eval_runtime": 2.765, | |
| "eval_samples_per_second": 49.91, | |
| "eval_steps_per_second": 4.34, | |
| "step": 4462 | |
| }, | |
| { | |
| "epoch": 97.83, | |
| "learning_rate": 4.347826086956522e-07, | |
| "loss": 0.0106, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 98.0, | |
| "eval_accuracy": 0.6607763615295481, | |
| "eval_f1": 0.34850863422292, | |
| "eval_loss": 2.402587413787842, | |
| "eval_precision": 0.2677925211097708, | |
| "eval_recall": 0.49887640449438203, | |
| "eval_runtime": 2.7737, | |
| "eval_samples_per_second": 49.753, | |
| "eval_steps_per_second": 4.326, | |
| "step": 4508 | |
| }, | |
| { | |
| "epoch": 99.0, | |
| "eval_accuracy": 0.6622247972190035, | |
| "eval_f1": 0.35062893081761004, | |
| "eval_loss": 2.4004111289978027, | |
| "eval_precision": 0.26964933494558646, | |
| "eval_recall": 0.501123595505618, | |
| "eval_runtime": 2.7443, | |
| "eval_samples_per_second": 50.286, | |
| "eval_steps_per_second": 4.373, | |
| "step": 4554 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "eval_accuracy": 0.6621523754345308, | |
| "eval_f1": 0.35035349567949725, | |
| "eval_loss": 2.4005491733551025, | |
| "eval_precision": 0.2693236714975845, | |
| "eval_recall": 0.501123595505618, | |
| "eval_runtime": 2.749, | |
| "eval_samples_per_second": 50.2, | |
| "eval_steps_per_second": 4.365, | |
| "step": 4600 | |
| } | |
| ], | |
| "max_steps": 4600, | |
| "num_train_epochs": 100, | |
| "total_flos": 8533183236037200.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |