| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 60.0, | |
| "global_step": 18720, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5415162454873647, | |
| "eval_loss": 0.3589429557323456, | |
| "eval_runtime": 4.3667, | |
| "eval_samples_per_second": 63.434, | |
| "eval_steps_per_second": 8.015, | |
| "step": 312 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.5415162454873647, | |
| "epoch": 1.0, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 0.0019465811965811966, | |
| "loss": 0.4381, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.555956678700361, | |
| "eval_loss": 0.35848623514175415, | |
| "eval_runtime": 4.4826, | |
| "eval_samples_per_second": 61.794, | |
| "eval_steps_per_second": 7.808, | |
| "step": 624 | |
| }, | |
| { | |
| "best_epoch": 1, | |
| "best_eval_accuracy": 0.555956678700361, | |
| "epoch": 2.0, | |
| "step": 624 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.4729241877256318, | |
| "eval_loss": 0.48240402340888977, | |
| "eval_runtime": 4.5185, | |
| "eval_samples_per_second": 61.304, | |
| "eval_steps_per_second": 7.746, | |
| "step": 936 | |
| }, | |
| { | |
| "best_epoch": 1, | |
| "best_eval_accuracy": 0.555956678700361, | |
| "epoch": 3.0, | |
| "step": 936 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "learning_rate": 0.0018931623931623931, | |
| "loss": 0.4251, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5740072202166066, | |
| "eval_loss": 0.34972989559173584, | |
| "eval_runtime": 4.5352, | |
| "eval_samples_per_second": 61.078, | |
| "eval_steps_per_second": 7.717, | |
| "step": 1248 | |
| }, | |
| { | |
| "best_epoch": 3, | |
| "best_eval_accuracy": 0.5740072202166066, | |
| "epoch": 4.0, | |
| "step": 1248 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "learning_rate": 0.0018397435897435897, | |
| "loss": 0.4013, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5306859205776173, | |
| "eval_loss": 0.551459550857544, | |
| "eval_runtime": 4.52, | |
| "eval_samples_per_second": 61.283, | |
| "eval_steps_per_second": 7.743, | |
| "step": 1560 | |
| }, | |
| { | |
| "best_epoch": 3, | |
| "best_eval_accuracy": 0.5740072202166066, | |
| "epoch": 5.0, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5342960288808665, | |
| "eval_loss": 0.5299800038337708, | |
| "eval_runtime": 4.5138, | |
| "eval_samples_per_second": 61.368, | |
| "eval_steps_per_second": 7.754, | |
| "step": 1872 | |
| }, | |
| { | |
| "best_epoch": 3, | |
| "best_eval_accuracy": 0.5740072202166066, | |
| "epoch": 6.0, | |
| "step": 1872 | |
| }, | |
| { | |
| "epoch": 6.41, | |
| "learning_rate": 0.0017863247863247865, | |
| "loss": 0.4064, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.4981949458483754, | |
| "eval_loss": 0.35154926776885986, | |
| "eval_runtime": 4.5182, | |
| "eval_samples_per_second": 61.307, | |
| "eval_steps_per_second": 7.746, | |
| "step": 2184 | |
| }, | |
| { | |
| "best_epoch": 3, | |
| "best_eval_accuracy": 0.5740072202166066, | |
| "epoch": 7.0, | |
| "step": 2184 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.5703971119133574, | |
| "eval_loss": 0.3455522358417511, | |
| "eval_runtime": 4.5195, | |
| "eval_samples_per_second": 61.29, | |
| "eval_steps_per_second": 7.744, | |
| "step": 2496 | |
| }, | |
| { | |
| "best_epoch": 3, | |
| "best_eval_accuracy": 0.5740072202166066, | |
| "epoch": 8.0, | |
| "step": 2496 | |
| }, | |
| { | |
| "epoch": 8.01, | |
| "learning_rate": 0.001732905982905983, | |
| "loss": 0.4121, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.5631768953068592, | |
| "eval_loss": 0.35217946767807007, | |
| "eval_runtime": 4.5238, | |
| "eval_samples_per_second": 61.232, | |
| "eval_steps_per_second": 7.737, | |
| "step": 2808 | |
| }, | |
| { | |
| "best_epoch": 3, | |
| "best_eval_accuracy": 0.5740072202166066, | |
| "epoch": 9.0, | |
| "step": 2808 | |
| }, | |
| { | |
| "epoch": 9.62, | |
| "learning_rate": 0.0016794871794871796, | |
| "loss": 0.4048, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.5631768953068592, | |
| "eval_loss": 0.3436826169490814, | |
| "eval_runtime": 4.5226, | |
| "eval_samples_per_second": 61.247, | |
| "eval_steps_per_second": 7.739, | |
| "step": 3120 | |
| }, | |
| { | |
| "best_epoch": 3, | |
| "best_eval_accuracy": 0.5740072202166066, | |
| "epoch": 10.0, | |
| "step": 3120 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.5667870036101083, | |
| "eval_loss": 0.3483211398124695, | |
| "eval_runtime": 4.5176, | |
| "eval_samples_per_second": 61.315, | |
| "eval_steps_per_second": 7.747, | |
| "step": 3432 | |
| }, | |
| { | |
| "best_epoch": 3, | |
| "best_eval_accuracy": 0.5740072202166066, | |
| "epoch": 11.0, | |
| "step": 3432 | |
| }, | |
| { | |
| "epoch": 11.22, | |
| "learning_rate": 0.0016260683760683761, | |
| "loss": 0.4035, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.4657039711191336, | |
| "eval_loss": 0.39523008465766907, | |
| "eval_runtime": 4.5292, | |
| "eval_samples_per_second": 61.158, | |
| "eval_steps_per_second": 7.728, | |
| "step": 3744 | |
| }, | |
| { | |
| "best_epoch": 3, | |
| "best_eval_accuracy": 0.5740072202166066, | |
| "epoch": 12.0, | |
| "step": 3744 | |
| }, | |
| { | |
| "epoch": 12.82, | |
| "learning_rate": 0.0015726495726495727, | |
| "loss": 0.3797, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.48014440433212996, | |
| "eval_loss": 0.3535395562648773, | |
| "eval_runtime": 4.5227, | |
| "eval_samples_per_second": 61.246, | |
| "eval_steps_per_second": 7.739, | |
| "step": 4056 | |
| }, | |
| { | |
| "best_epoch": 3, | |
| "best_eval_accuracy": 0.5740072202166066, | |
| "epoch": 13.0, | |
| "step": 4056 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.5992779783393501, | |
| "eval_loss": 0.3442744314670563, | |
| "eval_runtime": 4.5323, | |
| "eval_samples_per_second": 61.117, | |
| "eval_steps_per_second": 7.722, | |
| "step": 4368 | |
| }, | |
| { | |
| "best_epoch": 13, | |
| "best_eval_accuracy": 0.5992779783393501, | |
| "epoch": 14.0, | |
| "step": 4368 | |
| }, | |
| { | |
| "epoch": 14.42, | |
| "learning_rate": 0.0015192307692307692, | |
| "loss": 0.3657, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.5379061371841155, | |
| "eval_loss": 0.34309083223342896, | |
| "eval_runtime": 4.5324, | |
| "eval_samples_per_second": 61.116, | |
| "eval_steps_per_second": 7.722, | |
| "step": 4680 | |
| }, | |
| { | |
| "best_epoch": 13, | |
| "best_eval_accuracy": 0.5992779783393501, | |
| "epoch": 15.0, | |
| "step": 4680 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.5992779783393501, | |
| "eval_loss": 0.34777817130088806, | |
| "eval_runtime": 4.5274, | |
| "eval_samples_per_second": 61.184, | |
| "eval_steps_per_second": 7.731, | |
| "step": 4992 | |
| }, | |
| { | |
| "best_epoch": 13, | |
| "best_eval_accuracy": 0.5992779783393501, | |
| "epoch": 16.0, | |
| "step": 4992 | |
| }, | |
| { | |
| "epoch": 16.03, | |
| "learning_rate": 0.0014658119658119658, | |
| "loss": 0.3615, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.6173285198555957, | |
| "eval_loss": 0.34750139713287354, | |
| "eval_runtime": 4.5218, | |
| "eval_samples_per_second": 61.259, | |
| "eval_steps_per_second": 7.74, | |
| "step": 5304 | |
| }, | |
| { | |
| "best_epoch": 16, | |
| "best_eval_accuracy": 0.6173285198555957, | |
| "epoch": 17.0, | |
| "step": 5304 | |
| }, | |
| { | |
| "epoch": 17.63, | |
| "learning_rate": 0.0014123931623931626, | |
| "loss": 0.3573, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.6101083032490975, | |
| "eval_loss": 0.35394176840782166, | |
| "eval_runtime": 4.5276, | |
| "eval_samples_per_second": 61.181, | |
| "eval_steps_per_second": 7.73, | |
| "step": 5616 | |
| }, | |
| { | |
| "best_epoch": 16, | |
| "best_eval_accuracy": 0.6173285198555957, | |
| "epoch": 18.0, | |
| "step": 5616 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.6101083032490975, | |
| "eval_loss": 0.33835408091545105, | |
| "eval_runtime": 4.5292, | |
| "eval_samples_per_second": 61.159, | |
| "eval_steps_per_second": 7.728, | |
| "step": 5928 | |
| }, | |
| { | |
| "best_epoch": 16, | |
| "best_eval_accuracy": 0.6173285198555957, | |
| "epoch": 19.0, | |
| "step": 5928 | |
| }, | |
| { | |
| "epoch": 19.23, | |
| "learning_rate": 0.0013589743589743591, | |
| "loss": 0.3552, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.6245487364620939, | |
| "eval_loss": 0.3483423590660095, | |
| "eval_runtime": 4.5342, | |
| "eval_samples_per_second": 61.092, | |
| "eval_steps_per_second": 7.719, | |
| "step": 6240 | |
| }, | |
| { | |
| "best_epoch": 19, | |
| "best_eval_accuracy": 0.6245487364620939, | |
| "epoch": 20.0, | |
| "step": 6240 | |
| }, | |
| { | |
| "epoch": 20.83, | |
| "learning_rate": 0.0013055555555555557, | |
| "loss": 0.3545, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_accuracy": 0.6173285198555957, | |
| "eval_loss": 0.33585211634635925, | |
| "eval_runtime": 4.5322, | |
| "eval_samples_per_second": 61.119, | |
| "eval_steps_per_second": 7.723, | |
| "step": 6552 | |
| }, | |
| { | |
| "best_epoch": 19, | |
| "best_eval_accuracy": 0.6245487364620939, | |
| "epoch": 21.0, | |
| "step": 6552 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy": 0.5740072202166066, | |
| "eval_loss": 0.384427011013031, | |
| "eval_runtime": 4.5292, | |
| "eval_samples_per_second": 61.158, | |
| "eval_steps_per_second": 7.728, | |
| "step": 6864 | |
| }, | |
| { | |
| "best_epoch": 19, | |
| "best_eval_accuracy": 0.6245487364620939, | |
| "epoch": 22.0, | |
| "step": 6864 | |
| }, | |
| { | |
| "epoch": 22.44, | |
| "learning_rate": 0.0012521367521367522, | |
| "loss": 0.349, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_accuracy": 0.6498194945848376, | |
| "eval_loss": 0.34361839294433594, | |
| "eval_runtime": 4.5281, | |
| "eval_samples_per_second": 61.173, | |
| "eval_steps_per_second": 7.729, | |
| "step": 7176 | |
| }, | |
| { | |
| "best_epoch": 22, | |
| "best_eval_accuracy": 0.6498194945848376, | |
| "epoch": 23.0, | |
| "step": 7176 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.6209386281588448, | |
| "eval_loss": 0.3422470688819885, | |
| "eval_runtime": 4.5291, | |
| "eval_samples_per_second": 61.16, | |
| "eval_steps_per_second": 7.728, | |
| "step": 7488 | |
| }, | |
| { | |
| "best_epoch": 22, | |
| "best_eval_accuracy": 0.6498194945848376, | |
| "epoch": 24.0, | |
| "step": 7488 | |
| }, | |
| { | |
| "epoch": 24.04, | |
| "learning_rate": 0.0011987179487179488, | |
| "loss": 0.351, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy": 0.631768953068592, | |
| "eval_loss": 0.3495335876941681, | |
| "eval_runtime": 4.5369, | |
| "eval_samples_per_second": 61.055, | |
| "eval_steps_per_second": 7.715, | |
| "step": 7800 | |
| }, | |
| { | |
| "best_epoch": 22, | |
| "best_eval_accuracy": 0.6498194945848376, | |
| "epoch": 25.0, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 25.64, | |
| "learning_rate": 0.0011452991452991453, | |
| "loss": 0.3471, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy": 0.6101083032490975, | |
| "eval_loss": 0.3498461842536926, | |
| "eval_runtime": 4.5294, | |
| "eval_samples_per_second": 61.156, | |
| "eval_steps_per_second": 7.727, | |
| "step": 8112 | |
| }, | |
| { | |
| "best_epoch": 22, | |
| "best_eval_accuracy": 0.6498194945848376, | |
| "epoch": 26.0, | |
| "step": 8112 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_accuracy": 0.6462093862815884, | |
| "eval_loss": 0.3315870463848114, | |
| "eval_runtime": 4.532, | |
| "eval_samples_per_second": 61.121, | |
| "eval_steps_per_second": 7.723, | |
| "step": 8424 | |
| }, | |
| { | |
| "best_epoch": 22, | |
| "best_eval_accuracy": 0.6498194945848376, | |
| "epoch": 27.0, | |
| "step": 8424 | |
| }, | |
| { | |
| "epoch": 27.24, | |
| "learning_rate": 0.001091880341880342, | |
| "loss": 0.3468, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.6750902527075813, | |
| "eval_loss": 0.33216673135757446, | |
| "eval_runtime": 4.5307, | |
| "eval_samples_per_second": 61.139, | |
| "eval_steps_per_second": 7.725, | |
| "step": 8736 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 28.0, | |
| "step": 8736 | |
| }, | |
| { | |
| "epoch": 28.85, | |
| "learning_rate": 0.0010384615384615387, | |
| "loss": 0.3459, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_accuracy": 0.6389891696750902, | |
| "eval_loss": 0.3354048728942871, | |
| "eval_runtime": 4.5404, | |
| "eval_samples_per_second": 61.008, | |
| "eval_steps_per_second": 7.709, | |
| "step": 9048 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 29.0, | |
| "step": 9048 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.6389891696750902, | |
| "eval_loss": 0.33531084656715393, | |
| "eval_runtime": 4.5418, | |
| "eval_samples_per_second": 60.99, | |
| "eval_steps_per_second": 7.706, | |
| "step": 9360 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 30.0, | |
| "step": 9360 | |
| }, | |
| { | |
| "epoch": 30.45, | |
| "learning_rate": 0.0009850427350427352, | |
| "loss": 0.344, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_accuracy": 0.6353790613718412, | |
| "eval_loss": 0.33834579586982727, | |
| "eval_runtime": 4.5312, | |
| "eval_samples_per_second": 61.131, | |
| "eval_steps_per_second": 7.724, | |
| "step": 9672 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 31.0, | |
| "step": 9672 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.6245487364620939, | |
| "eval_loss": 0.3328704535961151, | |
| "eval_runtime": 4.5306, | |
| "eval_samples_per_second": 61.14, | |
| "eval_steps_per_second": 7.725, | |
| "step": 9984 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 32.0, | |
| "step": 9984 | |
| }, | |
| { | |
| "epoch": 32.05, | |
| "learning_rate": 0.0009316239316239317, | |
| "loss": 0.3435, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_accuracy": 0.6389891696750902, | |
| "eval_loss": 0.3411121070384979, | |
| "eval_runtime": 4.5294, | |
| "eval_samples_per_second": 61.156, | |
| "eval_steps_per_second": 7.727, | |
| "step": 10296 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 33.0, | |
| "step": 10296 | |
| }, | |
| { | |
| "epoch": 33.65, | |
| "learning_rate": 0.0008782051282051282, | |
| "loss": 0.3408, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_accuracy": 0.6353790613718412, | |
| "eval_loss": 0.34143632650375366, | |
| "eval_runtime": 4.5307, | |
| "eval_samples_per_second": 61.139, | |
| "eval_steps_per_second": 7.725, | |
| "step": 10608 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 34.0, | |
| "step": 10608 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy": 0.6534296028880866, | |
| "eval_loss": 0.3319098949432373, | |
| "eval_runtime": 4.532, | |
| "eval_samples_per_second": 61.121, | |
| "eval_steps_per_second": 7.723, | |
| "step": 10920 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 35.0, | |
| "step": 10920 | |
| }, | |
| { | |
| "epoch": 35.26, | |
| "learning_rate": 0.0008247863247863248, | |
| "loss": 0.3401, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_accuracy": 0.628158844765343, | |
| "eval_loss": 0.3347095251083374, | |
| "eval_runtime": 4.5326, | |
| "eval_samples_per_second": 61.113, | |
| "eval_steps_per_second": 7.722, | |
| "step": 11232 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 36.0, | |
| "step": 11232 | |
| }, | |
| { | |
| "epoch": 36.86, | |
| "learning_rate": 0.0007713675213675214, | |
| "loss": 0.3406, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_accuracy": 0.6137184115523465, | |
| "eval_loss": 0.3381596505641937, | |
| "eval_runtime": 4.5336, | |
| "eval_samples_per_second": 61.099, | |
| "eval_steps_per_second": 7.72, | |
| "step": 11544 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 37.0, | |
| "step": 11544 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_accuracy": 0.6245487364620939, | |
| "eval_loss": 0.3355455696582794, | |
| "eval_runtime": 4.5352, | |
| "eval_samples_per_second": 61.077, | |
| "eval_steps_per_second": 7.717, | |
| "step": 11856 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 38.0, | |
| "step": 11856 | |
| }, | |
| { | |
| "epoch": 38.46, | |
| "learning_rate": 0.000717948717948718, | |
| "loss": 0.3378, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_accuracy": 0.6245487364620939, | |
| "eval_loss": 0.34160640835762024, | |
| "eval_runtime": 4.5305, | |
| "eval_samples_per_second": 61.141, | |
| "eval_steps_per_second": 7.725, | |
| "step": 12168 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 39.0, | |
| "step": 12168 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy": 0.6209386281588448, | |
| "eval_loss": 0.3422325551509857, | |
| "eval_runtime": 4.5339, | |
| "eval_samples_per_second": 61.095, | |
| "eval_steps_per_second": 7.72, | |
| "step": 12480 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 40.0, | |
| "step": 12480 | |
| }, | |
| { | |
| "epoch": 40.06, | |
| "learning_rate": 0.0006645299145299145, | |
| "loss": 0.3386, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "eval_accuracy": 0.6389891696750902, | |
| "eval_loss": 0.3388216197490692, | |
| "eval_runtime": 4.5387, | |
| "eval_samples_per_second": 61.03, | |
| "eval_steps_per_second": 7.711, | |
| "step": 12792 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 41.0, | |
| "step": 12792 | |
| }, | |
| { | |
| "epoch": 41.67, | |
| "learning_rate": 0.0006111111111111112, | |
| "loss": 0.3362, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_accuracy": 0.6389891696750902, | |
| "eval_loss": 0.3329535722732544, | |
| "eval_runtime": 4.5307, | |
| "eval_samples_per_second": 61.138, | |
| "eval_steps_per_second": 7.725, | |
| "step": 13104 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 42.0, | |
| "step": 13104 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "eval_accuracy": 0.628158844765343, | |
| "eval_loss": 0.3393040895462036, | |
| "eval_runtime": 4.5298, | |
| "eval_samples_per_second": 61.15, | |
| "eval_steps_per_second": 7.727, | |
| "step": 13416 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 43.0, | |
| "step": 13416 | |
| }, | |
| { | |
| "epoch": 43.27, | |
| "learning_rate": 0.0005576923076923078, | |
| "loss": 0.3373, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_accuracy": 0.628158844765343, | |
| "eval_loss": 0.33396920561790466, | |
| "eval_runtime": 4.537, | |
| "eval_samples_per_second": 61.054, | |
| "eval_steps_per_second": 7.714, | |
| "step": 13728 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 44.0, | |
| "step": 13728 | |
| }, | |
| { | |
| "epoch": 44.87, | |
| "learning_rate": 0.0005042735042735043, | |
| "loss": 0.3337, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy": 0.6389891696750902, | |
| "eval_loss": 0.33175528049468994, | |
| "eval_runtime": 4.5329, | |
| "eval_samples_per_second": 61.108, | |
| "eval_steps_per_second": 7.721, | |
| "step": 14040 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 45.0, | |
| "step": 14040 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_accuracy": 0.6353790613718412, | |
| "eval_loss": 0.33228200674057007, | |
| "eval_runtime": 4.5321, | |
| "eval_samples_per_second": 61.119, | |
| "eval_steps_per_second": 7.723, | |
| "step": 14352 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 46.0, | |
| "step": 14352 | |
| }, | |
| { | |
| "epoch": 46.47, | |
| "learning_rate": 0.00045085470085470087, | |
| "loss": 0.3332, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "eval_accuracy": 0.6642599277978339, | |
| "eval_loss": 0.33014196157455444, | |
| "eval_runtime": 4.5347, | |
| "eval_samples_per_second": 61.085, | |
| "eval_steps_per_second": 7.718, | |
| "step": 14664 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 47.0, | |
| "step": 14664 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.628158844765343, | |
| "eval_loss": 0.3421645164489746, | |
| "eval_runtime": 4.5363, | |
| "eval_samples_per_second": 61.064, | |
| "eval_steps_per_second": 7.716, | |
| "step": 14976 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 48.0, | |
| "step": 14976 | |
| }, | |
| { | |
| "epoch": 48.08, | |
| "learning_rate": 0.0003974358974358974, | |
| "loss": 0.3315, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "eval_accuracy": 0.6570397111913358, | |
| "eval_loss": 0.3348065912723541, | |
| "eval_runtime": 4.533, | |
| "eval_samples_per_second": 61.107, | |
| "eval_steps_per_second": 7.721, | |
| "step": 15288 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 49.0, | |
| "step": 15288 | |
| }, | |
| { | |
| "epoch": 49.68, | |
| "learning_rate": 0.00034401709401709403, | |
| "loss": 0.33, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy": 0.6462093862815884, | |
| "eval_loss": 0.3366377651691437, | |
| "eval_runtime": 4.5288, | |
| "eval_samples_per_second": 61.165, | |
| "eval_steps_per_second": 7.728, | |
| "step": 15600 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 50.0, | |
| "step": 15600 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "eval_accuracy": 0.6570397111913358, | |
| "eval_loss": 0.3308314085006714, | |
| "eval_runtime": 4.5289, | |
| "eval_samples_per_second": 61.163, | |
| "eval_steps_per_second": 7.728, | |
| "step": 15912 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 51.0, | |
| "step": 15912 | |
| }, | |
| { | |
| "epoch": 51.28, | |
| "learning_rate": 0.00029059829059829064, | |
| "loss": 0.331, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_accuracy": 0.6606498194945848, | |
| "eval_loss": 0.329833447933197, | |
| "eval_runtime": 4.5318, | |
| "eval_samples_per_second": 61.123, | |
| "eval_steps_per_second": 7.723, | |
| "step": 16224 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 52.0, | |
| "step": 16224 | |
| }, | |
| { | |
| "epoch": 52.88, | |
| "learning_rate": 0.00023717948717948717, | |
| "loss": 0.3295, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "eval_accuracy": 0.6498194945848376, | |
| "eval_loss": 0.337655633687973, | |
| "eval_runtime": 4.5297, | |
| "eval_samples_per_second": 61.153, | |
| "eval_steps_per_second": 7.727, | |
| "step": 16536 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 53.0, | |
| "step": 16536 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_accuracy": 0.6462093862815884, | |
| "eval_loss": 0.343928724527359, | |
| "eval_runtime": 4.524, | |
| "eval_samples_per_second": 61.229, | |
| "eval_steps_per_second": 7.737, | |
| "step": 16848 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 54.0, | |
| "step": 16848 | |
| }, | |
| { | |
| "epoch": 54.49, | |
| "learning_rate": 0.00018376068376068378, | |
| "loss": 0.3282, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy": 0.6570397111913358, | |
| "eval_loss": 0.33256685733795166, | |
| "eval_runtime": 4.5262, | |
| "eval_samples_per_second": 61.199, | |
| "eval_steps_per_second": 7.733, | |
| "step": 17160 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 55.0, | |
| "step": 17160 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_accuracy": 0.6498194945848376, | |
| "eval_loss": 0.33564698696136475, | |
| "eval_runtime": 4.5262, | |
| "eval_samples_per_second": 61.2, | |
| "eval_steps_per_second": 7.733, | |
| "step": 17472 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 56.0, | |
| "step": 17472 | |
| }, | |
| { | |
| "epoch": 56.09, | |
| "learning_rate": 0.00013034188034188036, | |
| "loss": 0.3291, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "eval_accuracy": 0.6570397111913358, | |
| "eval_loss": 0.3309127986431122, | |
| "eval_runtime": 4.5232, | |
| "eval_samples_per_second": 61.24, | |
| "eval_steps_per_second": 7.738, | |
| "step": 17784 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 57.0, | |
| "step": 17784 | |
| }, | |
| { | |
| "epoch": 57.69, | |
| "learning_rate": 7.692307692307693e-05, | |
| "loss": 0.3278, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_accuracy": 0.6498194945848376, | |
| "eval_loss": 0.33329811692237854, | |
| "eval_runtime": 4.5357, | |
| "eval_samples_per_second": 61.072, | |
| "eval_steps_per_second": 7.717, | |
| "step": 18096 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 58.0, | |
| "step": 18096 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "eval_accuracy": 0.6498194945848376, | |
| "eval_loss": 0.33244961500167847, | |
| "eval_runtime": 4.5017, | |
| "eval_samples_per_second": 61.532, | |
| "eval_steps_per_second": 7.775, | |
| "step": 18408 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 59.0, | |
| "step": 18408 | |
| }, | |
| { | |
| "epoch": 59.29, | |
| "learning_rate": 2.3504273504273504e-05, | |
| "loss": 0.3292, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy": 0.6498194945848376, | |
| "eval_loss": 0.33346447348594666, | |
| "eval_runtime": 4.4869, | |
| "eval_samples_per_second": 61.735, | |
| "eval_steps_per_second": 7.8, | |
| "step": 18720 | |
| }, | |
| { | |
| "best_epoch": 27, | |
| "best_eval_accuracy": 0.6750902527075813, | |
| "epoch": 60.0, | |
| "step": 18720 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "step": 18720, | |
| "total_flos": 6.96152728406016e+16, | |
| "train_loss": 0.3555507358322796, | |
| "train_runtime": 4126.6509, | |
| "train_samples_per_second": 36.204, | |
| "train_steps_per_second": 4.536 | |
| } | |
| ], | |
| "max_steps": 18720, | |
| "num_train_epochs": 60, | |
| "total_flos": 6.96152728406016e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |