| { | |
| "best_metric": 1.0424726009368896, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-28000", | |
| "epoch": 1.1408083441981747, | |
| "eval_steps": 1000, | |
| "global_step": 28000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0, | |
| "learning_rate": 2.7777777777777777e-11, | |
| "loss": 1.2076, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.1301, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.3321357285429142, | |
| "eval_loss": 1.1047232151031494, | |
| "eval_runtime": 50.8344, | |
| "eval_samples_per_second": 98.555, | |
| "eval_steps_per_second": 12.334, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.1286, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.3377245508982036, | |
| "eval_loss": 1.1038333177566528, | |
| "eval_runtime": 50.8114, | |
| "eval_samples_per_second": 98.6, | |
| "eval_steps_per_second": 12.34, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.1214, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.3409181636726547, | |
| "eval_loss": 1.103529930114746, | |
| "eval_runtime": 50.8258, | |
| "eval_samples_per_second": 98.572, | |
| "eval_steps_per_second": 12.336, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.1249, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.3469061876247505, | |
| "eval_loss": 1.1000434160232544, | |
| "eval_runtime": 50.6414, | |
| "eval_samples_per_second": 98.931, | |
| "eval_steps_per_second": 12.381, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3880555555555558e-07, | |
| "loss": 1.1206, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.34171656686626745, | |
| "eval_loss": 1.0996097326278687, | |
| "eval_runtime": 50.6956, | |
| "eval_samples_per_second": 98.825, | |
| "eval_steps_per_second": 12.368, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.1161, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.3590818363273453, | |
| "eval_loss": 1.096977710723877, | |
| "eval_runtime": 50.5826, | |
| "eval_samples_per_second": 99.046, | |
| "eval_steps_per_second": 12.396, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9433333333333334e-07, | |
| "loss": 1.1138, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.3532934131736527, | |
| "eval_loss": 1.0949815511703491, | |
| "eval_runtime": 50.5604, | |
| "eval_samples_per_second": 99.089, | |
| "eval_steps_per_second": 12.401, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 2.2211111111111114e-07, | |
| "loss": 1.1135, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_accuracy": 0.36327345309381237, | |
| "eval_loss": 1.093558430671692, | |
| "eval_runtime": 50.608, | |
| "eval_samples_per_second": 98.996, | |
| "eval_steps_per_second": 12.389, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 2.4986111111111113e-07, | |
| "loss": 1.1063, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_accuracy": 0.35548902195608784, | |
| "eval_loss": 1.0992107391357422, | |
| "eval_runtime": 50.5434, | |
| "eval_samples_per_second": 99.123, | |
| "eval_steps_per_second": 12.405, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 2.776388888888889e-07, | |
| "loss": 1.1083, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_accuracy": 0.3836327345309381, | |
| "eval_loss": 1.0920206308364868, | |
| "eval_runtime": 50.5559, | |
| "eval_samples_per_second": 99.098, | |
| "eval_steps_per_second": 12.402, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 3.053888888888889e-07, | |
| "loss": 1.1044, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_accuracy": 0.38762475049900197, | |
| "eval_loss": 1.0904459953308105, | |
| "eval_runtime": 50.9725, | |
| "eval_samples_per_second": 98.288, | |
| "eval_steps_per_second": 12.301, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.331666666666667e-07, | |
| "loss": 1.1019, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.3912175648702595, | |
| "eval_loss": 1.088543176651001, | |
| "eval_runtime": 50.8297, | |
| "eval_samples_per_second": 98.564, | |
| "eval_steps_per_second": 12.335, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 3.609166666666667e-07, | |
| "loss": 1.1032, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.3435129740518962, | |
| "eval_loss": 1.0940682888031006, | |
| "eval_runtime": 51.0031, | |
| "eval_samples_per_second": 98.229, | |
| "eval_steps_per_second": 12.293, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 3.886944444444445e-07, | |
| "loss": 1.1006, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_accuracy": 0.36826347305389223, | |
| "eval_loss": 1.0924910306930542, | |
| "eval_runtime": 51.2753, | |
| "eval_samples_per_second": 97.708, | |
| "eval_steps_per_second": 12.228, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 4.164444444444445e-07, | |
| "loss": 1.1, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_accuracy": 0.38323353293413176, | |
| "eval_loss": 1.0879395008087158, | |
| "eval_runtime": 51.3783, | |
| "eval_samples_per_second": 97.512, | |
| "eval_steps_per_second": 12.204, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 4.442222222222223e-07, | |
| "loss": 1.0982, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "eval_accuracy": 0.3964071856287425, | |
| "eval_loss": 1.0822893381118774, | |
| "eval_runtime": 51.2346, | |
| "eval_samples_per_second": 97.786, | |
| "eval_steps_per_second": 12.238, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 4.7197222222222224e-07, | |
| "loss": 1.0953, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_accuracy": 0.4121756487025948, | |
| "eval_loss": 1.0795228481292725, | |
| "eval_runtime": 51.31, | |
| "eval_samples_per_second": 97.642, | |
| "eval_steps_per_second": 12.22, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 4.997500000000001e-07, | |
| "loss": 1.0943, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_accuracy": 0.42015968063872255, | |
| "eval_loss": 1.079458236694336, | |
| "eval_runtime": 51.3255, | |
| "eval_samples_per_second": 97.612, | |
| "eval_steps_per_second": 12.216, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 5.275e-07, | |
| "loss": 1.0885, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_accuracy": 0.437125748502994, | |
| "eval_loss": 1.0667964220046997, | |
| "eval_runtime": 51.1737, | |
| "eval_samples_per_second": 97.902, | |
| "eval_steps_per_second": 12.252, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 5.552777777777778e-07, | |
| "loss": 1.0792, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "eval_accuracy": 0.4315369261477046, | |
| "eval_loss": 1.0628777742385864, | |
| "eval_runtime": 51.4162, | |
| "eval_samples_per_second": 97.44, | |
| "eval_steps_per_second": 12.195, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 5.830277777777779e-07, | |
| "loss": 1.0755, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "eval_accuracy": 0.4343313373253493, | |
| "eval_loss": 1.0604455471038818, | |
| "eval_runtime": 51.2629, | |
| "eval_samples_per_second": 97.731, | |
| "eval_steps_per_second": 12.231, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 6.108055555555556e-07, | |
| "loss": 1.073, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_accuracy": 0.43353293413173655, | |
| "eval_loss": 1.0552711486816406, | |
| "eval_runtime": 51.2402, | |
| "eval_samples_per_second": 97.775, | |
| "eval_steps_per_second": 12.236, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 6.385555555555556e-07, | |
| "loss": 1.0699, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_accuracy": 0.4313373253493014, | |
| "eval_loss": 1.052398920059204, | |
| "eval_runtime": 51.1758, | |
| "eval_samples_per_second": 97.898, | |
| "eval_steps_per_second": 12.252, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 6.663333333333334e-07, | |
| "loss": 1.0695, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_accuracy": 0.4407185628742515, | |
| "eval_loss": 1.047132968902588, | |
| "eval_runtime": 51.3549, | |
| "eval_samples_per_second": 97.556, | |
| "eval_steps_per_second": 12.209, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 6.940833333333334e-07, | |
| "loss": 1.0656, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_accuracy": 0.4439121756487026, | |
| "eval_loss": 1.045853853225708, | |
| "eval_runtime": 51.1548, | |
| "eval_samples_per_second": 97.938, | |
| "eval_steps_per_second": 12.257, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 7.218611111111112e-07, | |
| "loss": 1.0645, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "eval_accuracy": 0.43273453093812375, | |
| "eval_loss": 1.0467982292175293, | |
| "eval_runtime": 51.1774, | |
| "eval_samples_per_second": 97.895, | |
| "eval_steps_per_second": 12.252, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 7.496111111111112e-07, | |
| "loss": 1.0639, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_accuracy": 0.43313373253493015, | |
| "eval_loss": 1.0436949729919434, | |
| "eval_runtime": 51.1313, | |
| "eval_samples_per_second": 97.983, | |
| "eval_steps_per_second": 12.263, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 7.77388888888889e-07, | |
| "loss": 1.0638, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_accuracy": 0.436127744510978, | |
| "eval_loss": 1.0424726009368896, | |
| "eval_runtime": 51.2359, | |
| "eval_samples_per_second": 97.783, | |
| "eval_steps_per_second": 12.238, | |
| "step": 28000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 5.85296823559127e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |