| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.4784151389710232, | |
| "global_step": 5000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 4.9546619357382224e-05, | |
| "loss": 7.0936, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 4.905381431105855e-05, | |
| "loss": 4.7571, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 4.856100926473487e-05, | |
| "loss": 4.3059, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 4.80682042184112e-05, | |
| "loss": 3.9402, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 4.7575399172087526e-05, | |
| "loss": 4.5039, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 4.708259412576385e-05, | |
| "loss": 5.0274, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "learning_rate": 4.658978907944018e-05, | |
| "loss": 4.4826, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 4.60969840331165e-05, | |
| "loss": 4.2794, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 4.560417898679283e-05, | |
| "loss": 4.1005, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 4.5111373940469154e-05, | |
| "loss": 3.6633, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "eval_cer": 1.0385071558472365, | |
| "eval_loss": 3.3380627632141113, | |
| "eval_runtime": 108.6612, | |
| "eval_samples_per_second": 13.832, | |
| "eval_steps_per_second": 3.46, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 4.461856889414548e-05, | |
| "loss": 3.2821, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "learning_rate": 4.41257638478218e-05, | |
| "loss": 3.1914, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 4.363295880149813e-05, | |
| "loss": 3.0884, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 4.3140153755174456e-05, | |
| "loss": 2.9599, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 4.264734870885078e-05, | |
| "loss": 2.8756, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 4.215454366252711e-05, | |
| "loss": 2.7076, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 4.166173861620343e-05, | |
| "loss": 2.6674, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 4.116893356987976e-05, | |
| "loss": 2.5175, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 4.0676128523556084e-05, | |
| "loss": 2.5046, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "learning_rate": 4.018332347723241e-05, | |
| "loss": 2.3915, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "eval_cer": 0.6388866924962442, | |
| "eval_loss": 2.358058214187622, | |
| "eval_runtime": 91.2055, | |
| "eval_samples_per_second": 16.479, | |
| "eval_steps_per_second": 4.123, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 3.969051843090874e-05, | |
| "loss": 2.2984, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 3.919771338458506e-05, | |
| "loss": 2.2398, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 3.8704908338261386e-05, | |
| "loss": 2.1845, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "learning_rate": 3.821210329193771e-05, | |
| "loss": 2.0596, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "learning_rate": 3.771929824561404e-05, | |
| "loss": 1.9458, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 3.722649319929036e-05, | |
| "loss": 1.8901, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 3.673368815296669e-05, | |
| "loss": 1.8351, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "learning_rate": 3.6240883106643014e-05, | |
| "loss": 1.6854, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 3.574807806031934e-05, | |
| "loss": 1.6954, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 3.525527301399567e-05, | |
| "loss": 1.5061, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "eval_cer": 0.47789989720882425, | |
| "eval_loss": 1.4634768962860107, | |
| "eval_runtime": 93.897, | |
| "eval_samples_per_second": 16.007, | |
| "eval_steps_per_second": 4.004, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 3.476246796767199e-05, | |
| "loss": 1.5024, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 3.4269662921348316e-05, | |
| "loss": 1.5311, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 3.377685787502464e-05, | |
| "loss": 1.334, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "learning_rate": 3.328405282870097e-05, | |
| "loss": 1.2053, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "learning_rate": 3.27912477823773e-05, | |
| "loss": 1.1355, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 3.229844273605362e-05, | |
| "loss": 1.0514, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 3.1805637689729944e-05, | |
| "loss": 0.9352, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "learning_rate": 3.131283264340627e-05, | |
| "loss": 0.8822, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "learning_rate": 3.08200275970826e-05, | |
| "loss": 0.9451, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 3.0327222550758922e-05, | |
| "loss": 0.8043, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "eval_cer": 0.34268996599984186, | |
| "eval_loss": 0.826034426689148, | |
| "eval_runtime": 95.3049, | |
| "eval_samples_per_second": 15.77, | |
| "eval_steps_per_second": 3.945, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "learning_rate": 2.9834417504435245e-05, | |
| "loss": 0.8479, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 2.9341612458111573e-05, | |
| "loss": 0.7237, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "learning_rate": 2.88488074117879e-05, | |
| "loss": 0.6919, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 2.8356002365464223e-05, | |
| "loss": 0.6698, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "learning_rate": 2.786319731914055e-05, | |
| "loss": 0.5657, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "learning_rate": 2.7370392272816874e-05, | |
| "loss": 0.6165, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "learning_rate": 2.68775872264932e-05, | |
| "loss": 0.6387, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "learning_rate": 2.6384782180169525e-05, | |
| "loss": 0.5372, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "learning_rate": 2.5891977133845852e-05, | |
| "loss": 0.5254, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "learning_rate": 2.539917208752218e-05, | |
| "loss": 0.46, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "eval_cer": 0.22416383332015496, | |
| "eval_loss": 0.5074146389961243, | |
| "eval_runtime": 96.0964, | |
| "eval_samples_per_second": 15.641, | |
| "eval_steps_per_second": 3.913, | |
| "step": 5000 | |
| } | |
| ], | |
| "max_steps": 10146, | |
| "num_train_epochs": 3, | |
| "total_flos": 3.621264453794857e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |