| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 20.0, | |
| "eval_steps": 500, | |
| "global_step": 10580, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.1890359168241966, | |
| "grad_norm": 7.269421577453613, | |
| "learning_rate": 0.0005, | |
| "loss": 1.9195, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.3780718336483932, | |
| "grad_norm": 1.071650505065918, | |
| "learning_rate": 0.0005, | |
| "loss": 1.9396, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.5671077504725898, | |
| "grad_norm": 0.5662499070167542, | |
| "learning_rate": 0.0005, | |
| "loss": 2.3641, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.7561436672967864, | |
| "grad_norm": 0.47088223695755005, | |
| "learning_rate": 0.0005, | |
| "loss": 1.8969, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.945179584120983, | |
| "grad_norm": 0.3653932511806488, | |
| "learning_rate": 0.0005, | |
| "loss": 1.8531, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6214529147982063, | |
| "eval_loss": 1.5580899715423584, | |
| "eval_runtime": 5.56, | |
| "eval_samples_per_second": 89.928, | |
| "eval_steps_per_second": 11.331, | |
| "step": 529 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_exact_match": 14.4, | |
| "eval_f1": 20.983333333333345, | |
| "eval_qa_bleu": 12.514681390986086, | |
| "eval_qa_exact_match": 0.102, | |
| "eval_recite_bleu": 12.61307158352263, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 529 | |
| }, | |
| { | |
| "epoch": 1.1342155009451795, | |
| "grad_norm": 0.5318541526794434, | |
| "learning_rate": 0.0005, | |
| "loss": 1.6622, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.3232514177693762, | |
| "grad_norm": 235.6529998779297, | |
| "learning_rate": 0.0005, | |
| "loss": 1.5596, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.5122873345935728, | |
| "grad_norm": 0.5057249069213867, | |
| "learning_rate": 0.0005, | |
| "loss": 1.5296, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.7013232514177694, | |
| "grad_norm": 0.5339187383651733, | |
| "learning_rate": 0.0005, | |
| "loss": 1.5036, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.8903591682419658, | |
| "grad_norm": 0.5649825930595398, | |
| "learning_rate": 0.0005, | |
| "loss": 1.4884, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6643587443946188, | |
| "eval_loss": 1.2189537286758423, | |
| "eval_runtime": 6.192, | |
| "eval_samples_per_second": 80.749, | |
| "eval_steps_per_second": 10.174, | |
| "step": 1058 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_exact_match": 11.2, | |
| "eval_f1": 18.31238095238096, | |
| "eval_qa_bleu": 10.766593815425745, | |
| "eval_qa_exact_match": 0.096, | |
| "eval_recite_bleu": 13.257993783037875, | |
| "eval_recite_exact_match": 0.002, | |
| "step": 1058 | |
| }, | |
| { | |
| "epoch": 2.0793950850661624, | |
| "grad_norm": 0.6042512655258179, | |
| "learning_rate": 0.0005, | |
| "loss": 1.2966, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 2.268431001890359, | |
| "grad_norm": 965.2459106445312, | |
| "learning_rate": 0.0005, | |
| "loss": 8.8153, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.4574669187145557, | |
| "grad_norm": 3.0128896236419678, | |
| "learning_rate": 0.0005, | |
| "loss": 9.1241, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.6465028355387523, | |
| "grad_norm": 108062179328.0, | |
| "learning_rate": 0.0005, | |
| "loss": 10.5947, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.835538752362949, | |
| "grad_norm": 5002999889920.0, | |
| "learning_rate": 0.0005, | |
| "loss": 12.5972, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.21054708520179372, | |
| "eval_loss": 19.724363327026367, | |
| "eval_runtime": 6.5285, | |
| "eval_samples_per_second": 76.587, | |
| "eval_steps_per_second": 9.65, | |
| "step": 1587 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 1587 | |
| }, | |
| { | |
| "epoch": 3.0245746691871456, | |
| "grad_norm": 62.19309616088867, | |
| "learning_rate": 0.0005, | |
| "loss": 13.3192, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 3.213610586011342, | |
| "grad_norm": 4.109750747680664, | |
| "learning_rate": 0.0005, | |
| "loss": 8.4804, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 3.402646502835539, | |
| "grad_norm": 7.620689392089844, | |
| "learning_rate": 0.0005, | |
| "loss": 8.347, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 3.5916824196597354, | |
| "grad_norm": 33.092830657958984, | |
| "learning_rate": 0.0005, | |
| "loss": 7.4667, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 3.780718336483932, | |
| "grad_norm": 204828.203125, | |
| "learning_rate": 0.0005, | |
| "loss": 7.885, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.9697542533081287, | |
| "grad_norm": 229958729728.0, | |
| "learning_rate": 0.0005, | |
| "loss": 8.4174, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.22234977578475337, | |
| "eval_loss": 9.6956148147583, | |
| "eval_runtime": 5.4245, | |
| "eval_samples_per_second": 92.174, | |
| "eval_steps_per_second": 11.614, | |
| "step": 2116 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 2116 | |
| }, | |
| { | |
| "epoch": 4.158790170132325, | |
| "grad_norm": 17.098289489746094, | |
| "learning_rate": 0.0005, | |
| "loss": 10.4359, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 4.3478260869565215, | |
| "grad_norm": 1069.9039306640625, | |
| "learning_rate": 0.0005, | |
| "loss": 9.5369, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 4.536862003780718, | |
| "grad_norm": 7.694222927093506, | |
| "learning_rate": 0.0005, | |
| "loss": 7.7028, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 4.725897920604915, | |
| "grad_norm": Infinity, | |
| "learning_rate": 0.0005, | |
| "loss": 8.4852, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 4.914933837429111, | |
| "grad_norm": 396939770200064.0, | |
| "learning_rate": 0.0005, | |
| "loss": 9.5996, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.2166188340807175, | |
| "eval_loss": 10.412571907043457, | |
| "eval_runtime": 5.8473, | |
| "eval_samples_per_second": 85.51, | |
| "eval_steps_per_second": 10.774, | |
| "step": 2645 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 2645 | |
| }, | |
| { | |
| "epoch": 5.103969754253308, | |
| "grad_norm": 3.166937635134374e+18, | |
| "learning_rate": 0.0005, | |
| "loss": 10.3832, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 5.293005671077505, | |
| "grad_norm": 1.8363503072027607e+18, | |
| "learning_rate": 0.0005, | |
| "loss": 9.7717, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 5.482041587901701, | |
| "grad_norm": 113262112800768.0, | |
| "learning_rate": 0.0005, | |
| "loss": 8.3066, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 5.671077504725898, | |
| "grad_norm": 1283434880.0, | |
| "learning_rate": 0.0005, | |
| "loss": 8.6003, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 5.8601134215500945, | |
| "grad_norm": 1221250.5, | |
| "learning_rate": 0.0005, | |
| "loss": 9.1302, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.21948878923766815, | |
| "eval_loss": 9.434032440185547, | |
| "eval_runtime": 6.1208, | |
| "eval_samples_per_second": 81.689, | |
| "eval_steps_per_second": 10.293, | |
| "step": 3174 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 3174 | |
| }, | |
| { | |
| "epoch": 6.049149338374291, | |
| "grad_norm": 2019.499267578125, | |
| "learning_rate": 0.0005, | |
| "loss": 9.3999, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 6.238185255198488, | |
| "grad_norm": 164.9034881591797, | |
| "learning_rate": 0.0005, | |
| "loss": 8.1768, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 6.427221172022684, | |
| "grad_norm": 434.93157958984375, | |
| "learning_rate": 0.0005, | |
| "loss": 7.6329, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 6.616257088846881, | |
| "grad_norm": 1324.7332763671875, | |
| "learning_rate": 0.0005, | |
| "loss": 7.7765, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 6.805293005671078, | |
| "grad_norm": 52531002605568.0, | |
| "learning_rate": 0.0005, | |
| "loss": 8.006, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 6.994328922495274, | |
| "grad_norm": Infinity, | |
| "learning_rate": 0.0005, | |
| "loss": 15.3926, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.23054708520179373, | |
| "eval_loss": 15.052428245544434, | |
| "eval_runtime": 5.4671, | |
| "eval_samples_per_second": 91.457, | |
| "eval_steps_per_second": 11.524, | |
| "step": 3703 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 3703 | |
| }, | |
| { | |
| "epoch": 7.183364839319471, | |
| "grad_norm": Infinity, | |
| "learning_rate": 0.0005, | |
| "loss": 17.6263, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 7.3724007561436675, | |
| "grad_norm": Infinity, | |
| "learning_rate": 0.0005, | |
| "loss": 17.7669, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 7.561436672967864, | |
| "grad_norm": Infinity, | |
| "learning_rate": 0.0005, | |
| "loss": 17.7462, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 7.750472589792061, | |
| "grad_norm": Infinity, | |
| "learning_rate": 0.0005, | |
| "loss": 17.6186, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 7.939508506616257, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 1574.3041, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.4376, | |
| "eval_samples_per_second": 91.952, | |
| "eval_steps_per_second": 11.586, | |
| "step": 4232 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 4232 | |
| }, | |
| { | |
| "epoch": 8.128544423440454, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 8.31758034026465, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 8.506616257088847, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 8.695652173913043, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 8.88468809073724, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 6.1031, | |
| "eval_samples_per_second": 81.925, | |
| "eval_steps_per_second": 10.323, | |
| "step": 4761 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 4761 | |
| }, | |
| { | |
| "epoch": 9.073724007561436, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 9.262759924385634, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 9.45179584120983, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 9.640831758034027, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 9.829867674858223, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.5143, | |
| "eval_samples_per_second": 90.673, | |
| "eval_steps_per_second": 11.425, | |
| "step": 5290 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 5290 | |
| }, | |
| { | |
| "epoch": 10.01890359168242, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 10.207939508506616, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 10.396975425330814, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 10.58601134215501, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 10.775047258979207, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 10.964083175803403, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 6.5846, | |
| "eval_samples_per_second": 75.934, | |
| "eval_steps_per_second": 9.568, | |
| "step": 5819 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 5819 | |
| }, | |
| { | |
| "epoch": 11.1531190926276, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 11.342155009451796, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 11.531190926275993, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 11.720226843100189, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 11.909262759924385, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.4929, | |
| "eval_samples_per_second": 91.027, | |
| "eval_steps_per_second": 11.469, | |
| "step": 6348 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 6348 | |
| }, | |
| { | |
| "epoch": 12.098298676748582, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 12.287334593572778, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 12.476370510396976, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 12.665406427221171, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 12.854442344045369, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.7926, | |
| "eval_samples_per_second": 86.317, | |
| "eval_steps_per_second": 10.876, | |
| "step": 6877 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 6877 | |
| }, | |
| { | |
| "epoch": 13.043478260869565, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 13.232514177693762, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 13.421550094517958, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 13.610586011342155, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 13.799621928166351, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 13.988657844990549, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.8325, | |
| "eval_samples_per_second": 85.726, | |
| "eval_steps_per_second": 10.802, | |
| "step": 7406 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 7406 | |
| }, | |
| { | |
| "epoch": 14.177693761814744, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 14.366729678638942, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 14.555765595463138, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 14.744801512287335, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 14.93383742911153, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.8758, | |
| "eval_samples_per_second": 85.095, | |
| "eval_steps_per_second": 10.722, | |
| "step": 7935 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 7935 | |
| }, | |
| { | |
| "epoch": 15.122873345935728, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 15.311909262759924, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 15.500945179584122, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 15.689981096408317, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 15.879017013232515, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.4363, | |
| "eval_samples_per_second": 91.974, | |
| "eval_steps_per_second": 11.589, | |
| "step": 8464 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 8464 | |
| }, | |
| { | |
| "epoch": 16.068052930056712, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 16.257088846880908, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 16.446124763705104, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 16.6351606805293, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 16.8241965973535, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.4479, | |
| "eval_samples_per_second": 91.779, | |
| "eval_steps_per_second": 11.564, | |
| "step": 8993 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 8993 | |
| }, | |
| { | |
| "epoch": 17.013232514177695, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 17.20226843100189, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 17.391304347826086, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 17.58034026465028, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 17.76937618147448, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 17.958412098298677, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.7926, | |
| "eval_samples_per_second": 86.317, | |
| "eval_steps_per_second": 10.876, | |
| "step": 9522 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 9522 | |
| }, | |
| { | |
| "epoch": 18.147448015122873, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 18.33648393194707, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 18.525519848771268, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 18.714555765595463, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 18.90359168241966, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 5.9027, | |
| "eval_samples_per_second": 84.708, | |
| "eval_steps_per_second": 10.673, | |
| "step": 10051 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 10051 | |
| }, | |
| { | |
| "epoch": 19.092627599243855, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 10100 | |
| }, | |
| { | |
| "epoch": 19.281663516068054, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 10200 | |
| }, | |
| { | |
| "epoch": 19.47069943289225, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 10300 | |
| }, | |
| { | |
| "epoch": 19.659735349716446, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 10400 | |
| }, | |
| { | |
| "epoch": 19.84877126654064, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0005, | |
| "loss": 0.0, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.21060089686098654, | |
| "eval_loss": NaN, | |
| "eval_runtime": 6.6746, | |
| "eval_samples_per_second": 74.91, | |
| "eval_steps_per_second": 9.439, | |
| "step": 10580 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_exact_match": 0.0, | |
| "eval_f1": 0.0, | |
| "eval_qa_bleu": 0.0, | |
| "eval_qa_exact_match": 0.0, | |
| "eval_recite_bleu": 0.0, | |
| "eval_recite_exact_match": 0.0, | |
| "step": 10580 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 26450, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 9.64242245391745e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |