| { | |
| "best_metric": 0.7951020408163265, | |
| "best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/canine/canine-base-finetuned-masakhaner-pcm/checkpoint-7000", | |
| "epoch": 119.40298507462687, | |
| "global_step": 8000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 2.99, | |
| "eval_accuracy_score": 0.8950079239302694, | |
| "eval_f1": 0.4056413700470114, | |
| "eval_loss": 0.31147781014442444, | |
| "eval_precision": 0.3420158550396376, | |
| "eval_recall": 0.49834983498349833, | |
| "eval_runtime": 2.4074, | |
| "eval_samples_per_second": 127.107, | |
| "eval_steps_per_second": 16.2, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 5.97, | |
| "eval_accuracy_score": 0.9330427892234548, | |
| "eval_f1": 0.541019955654102, | |
| "eval_loss": 0.22155305743217468, | |
| "eval_precision": 0.4899598393574297, | |
| "eval_recall": 0.6039603960396039, | |
| "eval_runtime": 2.4071, | |
| "eval_samples_per_second": 127.125, | |
| "eval_steps_per_second": 16.202, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 7.46, | |
| "learning_rate": 4.865771812080537e-05, | |
| "loss": 0.3727, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 8.96, | |
| "eval_accuracy_score": 0.9498151082937136, | |
| "eval_f1": 0.6552238805970149, | |
| "eval_loss": 0.18555797636508942, | |
| "eval_precision": 0.5980926430517711, | |
| "eval_recall": 0.7244224422442245, | |
| "eval_runtime": 2.4132, | |
| "eval_samples_per_second": 126.802, | |
| "eval_steps_per_second": 16.161, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 11.94, | |
| "eval_accuracy_score": 0.95932382461701, | |
| "eval_f1": 0.7168627450980393, | |
| "eval_loss": 0.1749705672264099, | |
| "eval_precision": 0.6831091180866966, | |
| "eval_recall": 0.7541254125412541, | |
| "eval_runtime": 2.408, | |
| "eval_samples_per_second": 127.076, | |
| "eval_steps_per_second": 16.196, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 14.93, | |
| "learning_rate": 4.697986577181208e-05, | |
| "loss": 0.0555, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 14.93, | |
| "eval_accuracy_score": 0.9578711040676176, | |
| "eval_f1": 0.7334360554699538, | |
| "eval_loss": 0.1944570541381836, | |
| "eval_precision": 0.6878612716763006, | |
| "eval_recall": 0.7854785478547854, | |
| "eval_runtime": 2.4095, | |
| "eval_samples_per_second": 127.0, | |
| "eval_steps_per_second": 16.186, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 17.91, | |
| "eval_accuracy_score": 0.9647385103011094, | |
| "eval_f1": 0.7670364500792393, | |
| "eval_loss": 0.18250040709972382, | |
| "eval_precision": 0.7378048780487805, | |
| "eval_recall": 0.7986798679867987, | |
| "eval_runtime": 2.4111, | |
| "eval_samples_per_second": 126.911, | |
| "eval_steps_per_second": 16.175, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 20.9, | |
| "eval_accuracy_score": 0.9630216587427364, | |
| "eval_f1": 0.7384615384615385, | |
| "eval_loss": 0.19533774256706238, | |
| "eval_precision": 0.724960254372019, | |
| "eval_recall": 0.7524752475247525, | |
| "eval_runtime": 2.4014, | |
| "eval_samples_per_second": 127.425, | |
| "eval_steps_per_second": 16.24, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 22.39, | |
| "learning_rate": 4.530201342281879e-05, | |
| "loss": 0.0105, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 23.88, | |
| "eval_accuracy_score": 0.9644743792921289, | |
| "eval_f1": 0.7389937106918238, | |
| "eval_loss": 0.19444848597049713, | |
| "eval_precision": 0.7057057057057057, | |
| "eval_recall": 0.7755775577557755, | |
| "eval_runtime": 2.4134, | |
| "eval_samples_per_second": 126.79, | |
| "eval_steps_per_second": 16.16, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 26.87, | |
| "eval_accuracy_score": 0.963946117274168, | |
| "eval_f1": 0.7565424266455195, | |
| "eval_loss": 0.211569145321846, | |
| "eval_precision": 0.7282442748091603, | |
| "eval_recall": 0.7871287128712872, | |
| "eval_runtime": 2.4076, | |
| "eval_samples_per_second": 127.097, | |
| "eval_steps_per_second": 16.199, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 29.85, | |
| "learning_rate": 4.36241610738255e-05, | |
| "loss": 0.0055, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 29.85, | |
| "eval_accuracy_score": 0.9611727416798732, | |
| "eval_f1": 0.7248979591836734, | |
| "eval_loss": 0.23255787789821625, | |
| "eval_precision": 0.7172859450726979, | |
| "eval_recall": 0.7326732673267327, | |
| "eval_runtime": 2.4063, | |
| "eval_samples_per_second": 127.167, | |
| "eval_steps_per_second": 16.208, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 32.84, | |
| "eval_accuracy_score": 0.9650026413100898, | |
| "eval_f1": 0.7594339622641509, | |
| "eval_loss": 0.21984447538852692, | |
| "eval_precision": 0.7252252252252253, | |
| "eval_recall": 0.7970297029702971, | |
| "eval_runtime": 2.4107, | |
| "eval_samples_per_second": 126.936, | |
| "eval_steps_per_second": 16.178, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 35.82, | |
| "eval_accuracy_score": 0.963946117274168, | |
| "eval_f1": 0.7598736176935229, | |
| "eval_loss": 0.2293044477701187, | |
| "eval_precision": 0.7287878787878788, | |
| "eval_recall": 0.7937293729372937, | |
| "eval_runtime": 2.4114, | |
| "eval_samples_per_second": 126.899, | |
| "eval_steps_per_second": 16.173, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 37.31, | |
| "learning_rate": 4.194630872483222e-05, | |
| "loss": 0.0038, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 38.81, | |
| "eval_accuracy_score": 0.9643423137876387, | |
| "eval_f1": 0.7497975708502024, | |
| "eval_loss": 0.23353905975818634, | |
| "eval_precision": 0.7360890302066773, | |
| "eval_recall": 0.764026402640264, | |
| "eval_runtime": 2.4071, | |
| "eval_samples_per_second": 127.125, | |
| "eval_steps_per_second": 16.202, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 41.79, | |
| "eval_accuracy_score": 0.9655309033280507, | |
| "eval_f1": 0.7648, | |
| "eval_loss": 0.224817156791687, | |
| "eval_precision": 0.7422360248447205, | |
| "eval_recall": 0.7887788778877888, | |
| "eval_runtime": 2.4046, | |
| "eval_samples_per_second": 127.255, | |
| "eval_steps_per_second": 16.219, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 44.78, | |
| "learning_rate": 4.026845637583892e-05, | |
| "loss": 0.0032, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 44.78, | |
| "eval_accuracy_score": 0.95932382461701, | |
| "eval_f1": 0.7264076130055511, | |
| "eval_loss": 0.26162534952163696, | |
| "eval_precision": 0.6992366412213741, | |
| "eval_recall": 0.7557755775577558, | |
| "eval_runtime": 2.3994, | |
| "eval_samples_per_second": 127.53, | |
| "eval_steps_per_second": 16.254, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 47.76, | |
| "eval_accuracy_score": 0.9638140517696777, | |
| "eval_f1": 0.7374392220421394, | |
| "eval_loss": 0.2429530769586563, | |
| "eval_precision": 0.7245222929936306, | |
| "eval_recall": 0.7508250825082509, | |
| "eval_runtime": 2.4056, | |
| "eval_samples_per_second": 127.201, | |
| "eval_steps_per_second": 16.212, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 50.75, | |
| "eval_accuracy_score": 0.9646064447966192, | |
| "eval_f1": 0.7631578947368421, | |
| "eval_loss": 0.2461545169353485, | |
| "eval_precision": 0.760655737704918, | |
| "eval_recall": 0.7656765676567657, | |
| "eval_runtime": 2.4169, | |
| "eval_samples_per_second": 126.61, | |
| "eval_steps_per_second": 16.137, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 52.24, | |
| "learning_rate": 3.859060402684564e-05, | |
| "loss": 0.0027, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 53.73, | |
| "eval_accuracy_score": 0.9615689381933439, | |
| "eval_f1": 0.7359870024370431, | |
| "eval_loss": 0.25643840432167053, | |
| "eval_precision": 0.7248, | |
| "eval_recall": 0.7475247524752475, | |
| "eval_runtime": 2.402, | |
| "eval_samples_per_second": 127.392, | |
| "eval_steps_per_second": 16.236, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 56.72, | |
| "eval_accuracy_score": 0.96513470681458, | |
| "eval_f1": 0.7636932707355242, | |
| "eval_loss": 0.24773868918418884, | |
| "eval_precision": 0.7261904761904762, | |
| "eval_recall": 0.8052805280528053, | |
| "eval_runtime": 2.406, | |
| "eval_samples_per_second": 127.183, | |
| "eval_steps_per_second": 16.21, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 59.7, | |
| "learning_rate": 3.6912751677852356e-05, | |
| "loss": 0.0019, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 59.7, | |
| "eval_accuracy_score": 0.9615689381933439, | |
| "eval_f1": 0.7295796986518637, | |
| "eval_loss": 0.27105194330215454, | |
| "eval_precision": 0.7022900763358778, | |
| "eval_recall": 0.759075907590759, | |
| "eval_runtime": 2.4067, | |
| "eval_samples_per_second": 127.143, | |
| "eval_steps_per_second": 16.204, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 62.69, | |
| "eval_accuracy_score": 0.9620972002113048, | |
| "eval_f1": 0.7459807073954984, | |
| "eval_loss": 0.2745388150215149, | |
| "eval_precision": 0.7272727272727273, | |
| "eval_recall": 0.7656765676567657, | |
| "eval_runtime": 2.4067, | |
| "eval_samples_per_second": 127.143, | |
| "eval_steps_per_second": 16.205, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 65.67, | |
| "eval_accuracy_score": 0.9632857897517169, | |
| "eval_f1": 0.7472353870458136, | |
| "eval_loss": 0.26222512125968933, | |
| "eval_precision": 0.7166666666666667, | |
| "eval_recall": 0.7805280528052805, | |
| "eval_runtime": 2.4079, | |
| "eval_samples_per_second": 127.079, | |
| "eval_steps_per_second": 16.196, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 67.16, | |
| "learning_rate": 3.523489932885906e-05, | |
| "loss": 0.0019, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 68.66, | |
| "eval_accuracy_score": 0.9644743792921289, | |
| "eval_f1": 0.7557677008750995, | |
| "eval_loss": 0.25255098938941956, | |
| "eval_precision": 0.7296466973886329, | |
| "eval_recall": 0.7838283828382838, | |
| "eval_runtime": 2.4095, | |
| "eval_samples_per_second": 126.996, | |
| "eval_steps_per_second": 16.186, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 71.64, | |
| "eval_accuracy_score": 0.9657950343370312, | |
| "eval_f1": 0.765079365079365, | |
| "eval_loss": 0.2474120408296585, | |
| "eval_precision": 0.7370030581039755, | |
| "eval_recall": 0.7953795379537953, | |
| "eval_runtime": 2.4085, | |
| "eval_samples_per_second": 127.049, | |
| "eval_steps_per_second": 16.192, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 74.63, | |
| "learning_rate": 3.3557046979865775e-05, | |
| "loss": 0.0018, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 74.63, | |
| "eval_accuracy_score": 0.9653988378235605, | |
| "eval_f1": 0.7618296529968455, | |
| "eval_loss": 0.2491973489522934, | |
| "eval_precision": 0.729607250755287, | |
| "eval_recall": 0.7970297029702971, | |
| "eval_runtime": 2.4082, | |
| "eval_samples_per_second": 127.066, | |
| "eval_steps_per_second": 16.195, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 77.61, | |
| "eval_accuracy_score": 0.963946117274168, | |
| "eval_f1": 0.7564604541895067, | |
| "eval_loss": 0.2652634084224701, | |
| "eval_precision": 0.7198211624441133, | |
| "eval_recall": 0.7970297029702971, | |
| "eval_runtime": 2.4091, | |
| "eval_samples_per_second": 127.02, | |
| "eval_steps_per_second": 16.189, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 80.6, | |
| "eval_accuracy_score": 0.963946117274168, | |
| "eval_f1": 0.7577235772357722, | |
| "eval_loss": 0.2766047418117523, | |
| "eval_precision": 0.7467948717948718, | |
| "eval_recall": 0.768976897689769, | |
| "eval_runtime": 2.4127, | |
| "eval_samples_per_second": 126.83, | |
| "eval_steps_per_second": 16.165, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 82.09, | |
| "learning_rate": 3.1879194630872485e-05, | |
| "loss": 0.0012, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 83.58, | |
| "eval_accuracy_score": 0.9627575277337559, | |
| "eval_f1": 0.7384855581576891, | |
| "eval_loss": 0.2791267931461334, | |
| "eval_precision": 0.7007407407407408, | |
| "eval_recall": 0.7805280528052805, | |
| "eval_runtime": 2.4092, | |
| "eval_samples_per_second": 127.015, | |
| "eval_steps_per_second": 16.188, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 86.57, | |
| "eval_accuracy_score": 0.9672477548864237, | |
| "eval_f1": 0.7776000000000001, | |
| "eval_loss": 0.24720582365989685, | |
| "eval_precision": 0.7546583850931677, | |
| "eval_recall": 0.801980198019802, | |
| "eval_runtime": 2.4153, | |
| "eval_samples_per_second": 126.694, | |
| "eval_steps_per_second": 16.147, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 89.55, | |
| "learning_rate": 3.02013422818792e-05, | |
| "loss": 0.0013, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 89.55, | |
| "eval_accuracy_score": 0.9664553618594823, | |
| "eval_f1": 0.7794707297514034, | |
| "eval_loss": 0.25364401936531067, | |
| "eval_precision": 0.7581903276131046, | |
| "eval_recall": 0.801980198019802, | |
| "eval_runtime": 2.4087, | |
| "eval_samples_per_second": 127.037, | |
| "eval_steps_per_second": 16.191, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 92.54, | |
| "eval_accuracy_score": 0.9676439513998943, | |
| "eval_f1": 0.7832393231265109, | |
| "eval_loss": 0.25377386808395386, | |
| "eval_precision": 0.7653543307086614, | |
| "eval_recall": 0.801980198019802, | |
| "eval_runtime": 2.4146, | |
| "eval_samples_per_second": 126.731, | |
| "eval_steps_per_second": 16.152, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 95.52, | |
| "eval_accuracy_score": 0.9689646064447967, | |
| "eval_f1": 0.7859424920127794, | |
| "eval_loss": 0.23607416450977325, | |
| "eval_precision": 0.7616099071207431, | |
| "eval_recall": 0.8118811881188119, | |
| "eval_runtime": 2.4167, | |
| "eval_samples_per_second": 126.62, | |
| "eval_steps_per_second": 16.138, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 97.01, | |
| "learning_rate": 2.8523489932885905e-05, | |
| "loss": 0.0014, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 98.51, | |
| "eval_accuracy_score": 0.9696249339672478, | |
| "eval_f1": 0.784155214227971, | |
| "eval_loss": 0.22985981404781342, | |
| "eval_precision": 0.768621236133122, | |
| "eval_recall": 0.8003300330033003, | |
| "eval_runtime": 2.4152, | |
| "eval_samples_per_second": 126.699, | |
| "eval_steps_per_second": 16.148, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 101.49, | |
| "eval_accuracy_score": 0.969228737453777, | |
| "eval_f1": 0.7798537774167345, | |
| "eval_loss": 0.2279633730649948, | |
| "eval_precision": 0.768, | |
| "eval_recall": 0.7920792079207921, | |
| "eval_runtime": 2.4192, | |
| "eval_samples_per_second": 126.488, | |
| "eval_steps_per_second": 16.121, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 104.48, | |
| "learning_rate": 2.6845637583892618e-05, | |
| "loss": 0.001, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 104.48, | |
| "eval_accuracy_score": 0.9705493924986793, | |
| "eval_f1": 0.7951020408163265, | |
| "eval_loss": 0.23545745015144348, | |
| "eval_precision": 0.7867528271405493, | |
| "eval_recall": 0.8036303630363036, | |
| "eval_runtime": 2.41, | |
| "eval_samples_per_second": 126.97, | |
| "eval_steps_per_second": 16.182, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 107.46, | |
| "eval_accuracy_score": 0.9688325409403064, | |
| "eval_f1": 0.7739340305711988, | |
| "eval_loss": 0.23859038949012756, | |
| "eval_precision": 0.7551020408163265, | |
| "eval_recall": 0.7937293729372937, | |
| "eval_runtime": 2.4059, | |
| "eval_samples_per_second": 127.189, | |
| "eval_steps_per_second": 16.21, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 110.45, | |
| "eval_accuracy_score": 0.9684363444268357, | |
| "eval_f1": 0.7909967845659165, | |
| "eval_loss": 0.2557569444179535, | |
| "eval_precision": 0.7711598746081505, | |
| "eval_recall": 0.8118811881188119, | |
| "eval_runtime": 2.4083, | |
| "eval_samples_per_second": 127.062, | |
| "eval_steps_per_second": 16.194, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 111.94, | |
| "learning_rate": 2.516778523489933e-05, | |
| "loss": 0.0008, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 113.43, | |
| "eval_accuracy_score": 0.9683042789223455, | |
| "eval_f1": 0.7780429594272077, | |
| "eval_loss": 0.2508944869041443, | |
| "eval_precision": 0.7511520737327189, | |
| "eval_recall": 0.806930693069307, | |
| "eval_runtime": 2.4124, | |
| "eval_samples_per_second": 126.846, | |
| "eval_steps_per_second": 16.167, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 116.42, | |
| "eval_accuracy_score": 0.9681722134178553, | |
| "eval_f1": 0.7712206952303962, | |
| "eval_loss": 0.2467135787010193, | |
| "eval_precision": 0.7559429477020603, | |
| "eval_recall": 0.7871287128712872, | |
| "eval_runtime": 2.4114, | |
| "eval_samples_per_second": 126.896, | |
| "eval_steps_per_second": 16.173, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 119.4, | |
| "learning_rate": 2.348993288590604e-05, | |
| "loss": 0.0011, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 119.4, | |
| "eval_accuracy_score": 0.966323296354992, | |
| "eval_f1": 0.7704654895666132, | |
| "eval_loss": 0.24946843087673187, | |
| "eval_precision": 0.75, | |
| "eval_recall": 0.7920792079207921, | |
| "eval_runtime": 2.4125, | |
| "eval_samples_per_second": 126.837, | |
| "eval_steps_per_second": 16.166, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 119.4, | |
| "step": 8000, | |
| "total_flos": 4.164857671044096e+16, | |
| "train_loss": 0.029139109283685686, | |
| "train_runtime": 3971.1585, | |
| "train_samples_per_second": 120.872, | |
| "train_steps_per_second": 3.777 | |
| } | |
| ], | |
| "max_steps": 15000, | |
| "num_train_epochs": 224, | |
| "total_flos": 4.164857671044096e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |