| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 4.0, | |
| "eval_steps": 100, | |
| "global_step": 3544, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.11, | |
| "eval_loss": 0.4486841857433319, | |
| "eval_runtime": 759.5602, | |
| "eval_samples_per_second": 4.091, | |
| "eval_steps_per_second": 0.512, | |
| "eval_wer": 0.35654000233363153, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_loss": 0.3544192612171173, | |
| "eval_runtime": 754.7374, | |
| "eval_samples_per_second": 4.117, | |
| "eval_steps_per_second": 0.515, | |
| "eval_wer": 0.33168682665007193, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "eval_loss": 0.36927035450935364, | |
| "eval_runtime": 750.419, | |
| "eval_samples_per_second": 4.14, | |
| "eval_steps_per_second": 0.518, | |
| "eval_wer": 0.308817237758158, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_loss": 0.3404374122619629, | |
| "eval_runtime": 754.9059, | |
| "eval_samples_per_second": 4.116, | |
| "eval_steps_per_second": 0.515, | |
| "eval_wer": 0.3040332931430127, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 0.0008853077816492451, | |
| "loss": 1.5084, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "eval_loss": 0.33462777733802795, | |
| "eval_runtime": 756.1347, | |
| "eval_samples_per_second": 4.109, | |
| "eval_steps_per_second": 0.514, | |
| "eval_wer": 0.29952160553848545, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "eval_loss": 0.34105485677719116, | |
| "eval_runtime": 756.3042, | |
| "eval_samples_per_second": 4.108, | |
| "eval_steps_per_second": 0.514, | |
| "eval_wer": 0.2935708451635487, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "eval_loss": 0.31745076179504395, | |
| "eval_runtime": 748.8702, | |
| "eval_samples_per_second": 4.149, | |
| "eval_steps_per_second": 0.519, | |
| "eval_wer": 0.2887480066897437, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_loss": 0.3159240484237671, | |
| "eval_runtime": 765.2091, | |
| "eval_samples_per_second": 4.06, | |
| "eval_steps_per_second": 0.508, | |
| "eval_wer": 0.2898370347322158, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_loss": 0.3138948380947113, | |
| "eval_runtime": 752.8617, | |
| "eval_samples_per_second": 4.127, | |
| "eval_steps_per_second": 0.517, | |
| "eval_wer": 0.304538913305589, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "learning_rate": 0.000740418118466899, | |
| "loss": 0.3485, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "eval_loss": 0.3067200779914856, | |
| "eval_runtime": 749.2127, | |
| "eval_samples_per_second": 4.147, | |
| "eval_steps_per_second": 0.519, | |
| "eval_wer": 0.2957877951071526, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "eval_loss": 0.29693612456321716, | |
| "eval_runtime": 752.9596, | |
| "eval_samples_per_second": 4.126, | |
| "eval_steps_per_second": 0.517, | |
| "eval_wer": 0.2766909105052312, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "eval_loss": 0.29161983728408813, | |
| "eval_runtime": 757.6219, | |
| "eval_samples_per_second": 4.101, | |
| "eval_steps_per_second": 0.513, | |
| "eval_wer": 0.2714013457275096, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "eval_loss": 0.2893225848674774, | |
| "eval_runtime": 751.196, | |
| "eval_samples_per_second": 4.136, | |
| "eval_steps_per_second": 0.518, | |
| "eval_wer": 0.2663451441017463, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "eval_loss": 0.3183298408985138, | |
| "eval_runtime": 752.5817, | |
| "eval_samples_per_second": 4.128, | |
| "eval_steps_per_second": 0.517, | |
| "eval_wer": 0.29854925907199253, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 0.0005952380952380953, | |
| "loss": 0.3152, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "eval_loss": 0.296146422624588, | |
| "eval_runtime": 747.739, | |
| "eval_samples_per_second": 4.155, | |
| "eval_steps_per_second": 0.52, | |
| "eval_wer": 0.26875656333864884, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "eval_loss": 0.2847990095615387, | |
| "eval_runtime": 745.157, | |
| "eval_samples_per_second": 4.17, | |
| "eval_steps_per_second": 0.522, | |
| "eval_wer": 0.26653961339504495, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "eval_loss": 0.28440287709236145, | |
| "eval_runtime": 753.6747, | |
| "eval_samples_per_second": 4.122, | |
| "eval_steps_per_second": 0.516, | |
| "eval_wer": 0.2656450546458714, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 2.03, | |
| "eval_loss": 0.2854562997817993, | |
| "eval_runtime": 748.224, | |
| "eval_samples_per_second": 4.153, | |
| "eval_steps_per_second": 0.52, | |
| "eval_wer": 0.2707401501302944, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "eval_loss": 0.2886996865272522, | |
| "eval_runtime": 750.8758, | |
| "eval_samples_per_second": 4.138, | |
| "eval_steps_per_second": 0.518, | |
| "eval_wer": 0.26860098790400994, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "learning_rate": 0.0004500580720092916, | |
| "loss": 0.3058, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "eval_loss": 0.28578099608421326, | |
| "eval_runtime": 748.0813, | |
| "eval_samples_per_second": 4.153, | |
| "eval_steps_per_second": 0.52, | |
| "eval_wer": 0.26568394850453114, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "eval_loss": 0.2813587188720703, | |
| "eval_runtime": 756.7359, | |
| "eval_samples_per_second": 4.106, | |
| "eval_steps_per_second": 0.514, | |
| "eval_wer": 0.2629224845396912, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "eval_loss": 0.2809281349182129, | |
| "eval_runtime": 759.1954, | |
| "eval_samples_per_second": 4.092, | |
| "eval_steps_per_second": 0.512, | |
| "eval_wer": 0.26331142312628836, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "eval_loss": 0.2778892517089844, | |
| "eval_runtime": 756.4055, | |
| "eval_samples_per_second": 4.108, | |
| "eval_steps_per_second": 0.514, | |
| "eval_wer": 0.26128894247598305, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "eval_loss": 0.2744755446910858, | |
| "eval_runtime": 758.3998, | |
| "eval_samples_per_second": 4.097, | |
| "eval_steps_per_second": 0.513, | |
| "eval_wer": 0.25806075220722646, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 2.82, | |
| "learning_rate": 0.0003051684088269454, | |
| "loss": 0.2861, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 2.82, | |
| "eval_loss": 0.2769048810005188, | |
| "eval_runtime": 757.4274, | |
| "eval_samples_per_second": 4.102, | |
| "eval_steps_per_second": 0.514, | |
| "eval_wer": 0.26175566877989964, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "eval_loss": 0.2742438316345215, | |
| "eval_runtime": 761.8109, | |
| "eval_samples_per_second": 4.078, | |
| "eval_steps_per_second": 0.511, | |
| "eval_wer": 0.2575940259033099, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "eval_loss": 0.27301648259162903, | |
| "eval_runtime": 765.5965, | |
| "eval_samples_per_second": 4.058, | |
| "eval_steps_per_second": 0.508, | |
| "eval_wer": 0.2574773443273307, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 3.16, | |
| "eval_loss": 0.27274471521377563, | |
| "eval_runtime": 756.2486, | |
| "eval_samples_per_second": 4.108, | |
| "eval_steps_per_second": 0.514, | |
| "eval_wer": 0.25638831628485864, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "eval_loss": 0.27257227897644043, | |
| "eval_runtime": 762.5719, | |
| "eval_samples_per_second": 4.074, | |
| "eval_steps_per_second": 0.51, | |
| "eval_wer": 0.2562716347088795, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "learning_rate": 0.0001599883855981417, | |
| "loss": 0.2839, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "eval_loss": 0.2713397443294525, | |
| "eval_runtime": 762.4867, | |
| "eval_samples_per_second": 4.075, | |
| "eval_steps_per_second": 0.51, | |
| "eval_wer": 0.25755513204465014, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "eval_loss": 0.26895028352737427, | |
| "eval_runtime": 763.0484, | |
| "eval_samples_per_second": 4.072, | |
| "eval_steps_per_second": 0.51, | |
| "eval_wer": 0.2536657461786784, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 3.61, | |
| "eval_loss": 0.2706141769886017, | |
| "eval_runtime": 754.9996, | |
| "eval_samples_per_second": 4.115, | |
| "eval_steps_per_second": 0.515, | |
| "eval_wer": 0.2539768970479561, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 3.72, | |
| "eval_loss": 0.26873159408569336, | |
| "eval_runtime": 760.416, | |
| "eval_samples_per_second": 4.086, | |
| "eval_steps_per_second": 0.512, | |
| "eval_wer": 0.25421026019991444, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 3.84, | |
| "eval_loss": 0.26714619994163513, | |
| "eval_runtime": 754.0393, | |
| "eval_samples_per_second": 4.12, | |
| "eval_steps_per_second": 0.516, | |
| "eval_wer": 0.2521488856909494, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "learning_rate": 1.5098722415795587e-05, | |
| "loss": 0.2706, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "eval_loss": 0.267267644405365, | |
| "eval_runtime": 758.6405, | |
| "eval_samples_per_second": 4.095, | |
| "eval_steps_per_second": 0.513, | |
| "eval_wer": 0.2522266734082688, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "step": 3544, | |
| "total_flos": 1.1766650360089125e+19, | |
| "train_loss": 0.471761938411549, | |
| "train_runtime": 38765.3056, | |
| "train_samples_per_second": 0.731, | |
| "train_steps_per_second": 0.091 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 3544, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 200, | |
| "total_flos": 1.1766650360089125e+19, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |