{ "best_metric": 0.0693531029534856, "best_model_checkpoint": "./wav2vec2-xls-r-300m-ar/checkpoint-3000", "epoch": 26.548672566371682, "global_step": 3000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.22, "learning_rate": 1.4999999999999999e-05, "loss": 9.1248, "step": 25 }, { "epoch": 0.44, "learning_rate": 2.9999999999999997e-05, "loss": 6.6739, "step": 50 }, { "epoch": 0.66, "learning_rate": 4.4999999999999996e-05, "loss": 4.632, "step": 75 }, { "epoch": 0.88, "learning_rate": 5.9999999999999995e-05, "loss": 3.917, "step": 100 }, { "epoch": 1.11, "learning_rate": 7.5e-05, "loss": 3.3449, "step": 125 }, { "epoch": 1.33, "learning_rate": 8.999999999999999e-05, "loss": 2.8486, "step": 150 }, { "epoch": 1.55, "learning_rate": 0.00010499999999999999, "loss": 2.5717, "step": 175 }, { "epoch": 1.77, "learning_rate": 0.00011999999999999999, "loss": 2.3746, "step": 200 }, { "epoch": 1.99, "learning_rate": 0.000135, "loss": 2.2744, "step": 225 }, { "epoch": 2.21, "learning_rate": 0.00015, "loss": 2.0759, "step": 250 }, { "epoch": 2.43, "learning_rate": 0.000165, "loss": 1.7813, "step": 275 }, { "epoch": 2.65, "learning_rate": 0.00017999999999999998, "loss": 1.2002, "step": 300 }, { "epoch": 2.88, "learning_rate": 0.000195, "loss": 0.7684, "step": 325 }, { "epoch": 3.1, "learning_rate": 0.00020999999999999998, "loss": 0.527, "step": 350 }, { "epoch": 3.32, "learning_rate": 0.000225, "loss": 0.3734, "step": 375 }, { "epoch": 3.54, "learning_rate": 0.00023999999999999998, "loss": 0.3184, "step": 400 }, { "epoch": 3.76, "learning_rate": 0.00025499999999999996, "loss": 0.2822, "step": 425 }, { "epoch": 3.98, "learning_rate": 0.00027, "loss": 0.2074, "step": 450 }, { "epoch": 4.2, "learning_rate": 0.000285, "loss": 0.1985, "step": 475 }, { "epoch": 4.42, "learning_rate": 0.0003, "loss": 0.1917, "step": 500 }, { "epoch": 4.65, "learning_rate": 0.00029921052631578946, "loss": 0.1853, "step": 525 }, { "epoch": 4.87, "learning_rate": 0.00029842105263157894, "loss": 0.1828, "step": 550 }, { "epoch": 5.09, "learning_rate": 0.00029763157894736837, "loss": 0.1715, "step": 575 }, { "epoch": 5.31, "learning_rate": 0.00029684210526315785, "loss": 0.1457, "step": 600 }, { "epoch": 5.53, "learning_rate": 0.00029605263157894733, "loss": 0.1247, "step": 625 }, { "epoch": 5.75, "learning_rate": 0.0002952631578947368, "loss": 0.1266, "step": 650 }, { "epoch": 5.97, "learning_rate": 0.0002944736842105263, "loss": 0.117, "step": 675 }, { "epoch": 6.19, "learning_rate": 0.0002936842105263158, "loss": 0.117, "step": 700 }, { "epoch": 6.42, "learning_rate": 0.00029289473684210527, "loss": 0.125, "step": 725 }, { "epoch": 6.64, "learning_rate": 0.0002921052631578947, "loss": 0.1084, "step": 750 }, { "epoch": 6.86, "learning_rate": 0.0002913157894736842, "loss": 0.1178, "step": 775 }, { "epoch": 7.08, "learning_rate": 0.00029052631578947366, "loss": 0.1193, "step": 800 }, { "epoch": 7.3, "learning_rate": 0.00028973684210526314, "loss": 0.0925, "step": 825 }, { "epoch": 7.52, "learning_rate": 0.00028894736842105263, "loss": 0.085, "step": 850 }, { "epoch": 7.74, "learning_rate": 0.00028815789473684206, "loss": 0.0865, "step": 875 }, { "epoch": 7.96, "learning_rate": 0.00028736842105263154, "loss": 0.0811, "step": 900 }, { "epoch": 8.19, "learning_rate": 0.000286578947368421, "loss": 0.0835, "step": 925 }, { "epoch": 8.41, "learning_rate": 0.0002857894736842105, "loss": 0.0886, "step": 950 }, { "epoch": 8.63, "learning_rate": 0.000285, "loss": 0.0991, "step": 975 }, { "epoch": 8.85, "learning_rate": 0.0002842105263157894, "loss": 0.0793, "step": 1000 }, { "epoch": 8.85, "eval_loss": 0.16262491047382355, "eval_runtime": 11.6481, "eval_samples_per_second": 8.585, "eval_steps_per_second": 1.116, "eval_wer": 0.07856032524213799, "step": 1000 }, { "epoch": 9.07, "learning_rate": 0.00028342105263157895, "loss": 0.0863, "step": 1025 }, { "epoch": 9.29, "learning_rate": 0.0002826315789473684, "loss": 0.0638, "step": 1050 }, { "epoch": 9.51, "learning_rate": 0.00028184210526315787, "loss": 0.0604, "step": 1075 }, { "epoch": 9.73, "learning_rate": 0.00028105263157894735, "loss": 0.0621, "step": 1100 }, { "epoch": 9.96, "learning_rate": 0.00028026315789473683, "loss": 0.0707, "step": 1125 }, { "epoch": 10.18, "learning_rate": 0.0002794736842105263, "loss": 0.0799, "step": 1150 }, { "epoch": 10.4, "learning_rate": 0.00027868421052631574, "loss": 0.0694, "step": 1175 }, { "epoch": 10.62, "learning_rate": 0.00027789473684210523, "loss": 0.0655, "step": 1200 }, { "epoch": 10.84, "learning_rate": 0.0002771052631578947, "loss": 0.0776, "step": 1225 }, { "epoch": 11.06, "learning_rate": 0.0002763157894736842, "loss": 0.0582, "step": 1250 }, { "epoch": 11.28, "learning_rate": 0.0002755263157894737, "loss": 0.0547, "step": 1275 }, { "epoch": 11.5, "learning_rate": 0.0002747368421052631, "loss": 0.0597, "step": 1300 }, { "epoch": 11.73, "learning_rate": 0.0002739473684210526, "loss": 0.0492, "step": 1325 }, { "epoch": 11.95, "learning_rate": 0.00027315789473684207, "loss": 0.0699, "step": 1350 }, { "epoch": 12.17, "learning_rate": 0.00027236842105263155, "loss": 0.0594, "step": 1375 }, { "epoch": 12.39, "learning_rate": 0.00027157894736842104, "loss": 0.0541, "step": 1400 }, { "epoch": 12.61, "learning_rate": 0.0002707894736842105, "loss": 0.0522, "step": 1425 }, { "epoch": 12.83, "learning_rate": 0.00027, "loss": 0.0645, "step": 1450 }, { "epoch": 13.05, "learning_rate": 0.00026921052631578943, "loss": 0.0583, "step": 1475 }, { "epoch": 13.27, "learning_rate": 0.0002684210526315789, "loss": 0.0443, "step": 1500 }, { "epoch": 13.5, "learning_rate": 0.0002676315789473684, "loss": 0.0548, "step": 1525 }, { "epoch": 13.72, "learning_rate": 0.0002668421052631579, "loss": 0.0484, "step": 1550 }, { "epoch": 13.94, "learning_rate": 0.00026605263157894736, "loss": 0.0775, "step": 1575 }, { "epoch": 14.16, "learning_rate": 0.0002652631578947368, "loss": 0.0554, "step": 1600 }, { "epoch": 14.38, "learning_rate": 0.0002644736842105263, "loss": 0.0456, "step": 1625 }, { "epoch": 14.6, "learning_rate": 0.00026368421052631576, "loss": 0.0563, "step": 1650 }, { "epoch": 14.82, "learning_rate": 0.00026289473684210524, "loss": 0.0493, "step": 1675 }, { "epoch": 15.04, "learning_rate": 0.0002621052631578947, "loss": 0.0452, "step": 1700 }, { "epoch": 15.27, "learning_rate": 0.0002613157894736842, "loss": 0.0389, "step": 1725 }, { "epoch": 15.49, "learning_rate": 0.0002605263157894737, "loss": 0.0436, "step": 1750 }, { "epoch": 15.71, "learning_rate": 0.0002597368421052631, "loss": 0.0407, "step": 1775 }, { "epoch": 15.93, "learning_rate": 0.0002589473684210526, "loss": 0.0448, "step": 1800 }, { "epoch": 16.15, "learning_rate": 0.0002581578947368421, "loss": 0.0457, "step": 1825 }, { "epoch": 16.37, "learning_rate": 0.00025736842105263157, "loss": 0.0461, "step": 1850 }, { "epoch": 16.59, "learning_rate": 0.00025657894736842105, "loss": 0.0452, "step": 1875 }, { "epoch": 16.81, "learning_rate": 0.0002557894736842105, "loss": 0.0484, "step": 1900 }, { "epoch": 17.04, "learning_rate": 0.00025499999999999996, "loss": 0.0376, "step": 1925 }, { "epoch": 17.26, "learning_rate": 0.00025421052631578945, "loss": 0.0409, "step": 1950 }, { "epoch": 17.48, "learning_rate": 0.00025342105263157893, "loss": 0.0315, "step": 1975 }, { "epoch": 17.7, "learning_rate": 0.00025263157894736836, "loss": 0.0396, "step": 2000 }, { "epoch": 17.7, "eval_loss": 0.21985749900341034, "eval_runtime": 11.0577, "eval_samples_per_second": 9.043, "eval_steps_per_second": 1.176, "eval_wer": 0.08071266292000479, "step": 2000 }, { "epoch": 17.92, "learning_rate": 0.00025184210526315784, "loss": 0.0406, "step": 2025 }, { "epoch": 18.14, "learning_rate": 0.0002510526315789474, "loss": 0.0322, "step": 2050 }, { "epoch": 18.36, "learning_rate": 0.0002502631578947368, "loss": 0.0393, "step": 2075 }, { "epoch": 18.58, "learning_rate": 0.0002494736842105263, "loss": 0.0438, "step": 2100 }, { "epoch": 18.81, "learning_rate": 0.0002486842105263158, "loss": 0.0372, "step": 2125 }, { "epoch": 19.03, "learning_rate": 0.00024789473684210526, "loss": 0.0335, "step": 2150 }, { "epoch": 19.25, "learning_rate": 0.00024710526315789474, "loss": 0.0327, "step": 2175 }, { "epoch": 19.47, "learning_rate": 0.00024631578947368417, "loss": 0.0307, "step": 2200 }, { "epoch": 19.69, "learning_rate": 0.00024552631578947365, "loss": 0.0374, "step": 2225 }, { "epoch": 19.91, "learning_rate": 0.00024473684210526314, "loss": 0.035, "step": 2250 }, { "epoch": 20.13, "learning_rate": 0.0002439473684210526, "loss": 0.0336, "step": 2275 }, { "epoch": 20.35, "learning_rate": 0.00024315789473684207, "loss": 0.0426, "step": 2300 }, { "epoch": 20.58, "learning_rate": 0.00024236842105263156, "loss": 0.0375, "step": 2325 }, { "epoch": 20.8, "learning_rate": 0.000241578947368421, "loss": 0.0352, "step": 2350 }, { "epoch": 21.02, "learning_rate": 0.00024078947368421052, "loss": 0.0319, "step": 2375 }, { "epoch": 21.24, "learning_rate": 0.00023999999999999998, "loss": 0.0339, "step": 2400 }, { "epoch": 21.46, "learning_rate": 0.00023921052631578946, "loss": 0.0335, "step": 2425 }, { "epoch": 21.68, "learning_rate": 0.00023842105263157895, "loss": 0.0329, "step": 2450 }, { "epoch": 21.9, "learning_rate": 0.0002376315789473684, "loss": 0.0373, "step": 2475 }, { "epoch": 22.12, "learning_rate": 0.00023684210526315788, "loss": 0.0371, "step": 2500 }, { "epoch": 22.35, "learning_rate": 0.00023605263157894734, "loss": 0.0273, "step": 2525 }, { "epoch": 22.57, "learning_rate": 0.00023526315789473682, "loss": 0.0361, "step": 2550 }, { "epoch": 22.79, "learning_rate": 0.00023447368421052628, "loss": 0.0367, "step": 2575 }, { "epoch": 23.01, "learning_rate": 0.00023368421052631576, "loss": 0.0374, "step": 2600 }, { "epoch": 23.23, "learning_rate": 0.00023289473684210524, "loss": 0.0264, "step": 2625 }, { "epoch": 23.45, "learning_rate": 0.0002321052631578947, "loss": 0.0331, "step": 2650 }, { "epoch": 23.67, "learning_rate": 0.00023131578947368418, "loss": 0.0407, "step": 2675 }, { "epoch": 23.89, "learning_rate": 0.00023052631578947364, "loss": 0.031, "step": 2700 }, { "epoch": 24.12, "learning_rate": 0.00022973684210526315, "loss": 0.0294, "step": 2725 }, { "epoch": 24.34, "learning_rate": 0.00022894736842105263, "loss": 0.0345, "step": 2750 }, { "epoch": 24.56, "learning_rate": 0.0002281578947368421, "loss": 0.027, "step": 2775 }, { "epoch": 24.78, "learning_rate": 0.00022736842105263157, "loss": 0.0241, "step": 2800 }, { "epoch": 25.0, "learning_rate": 0.00022657894736842103, "loss": 0.0304, "step": 2825 }, { "epoch": 25.22, "learning_rate": 0.0002257894736842105, "loss": 0.026, "step": 2850 }, { "epoch": 25.44, "learning_rate": 0.000225, "loss": 0.0325, "step": 2875 }, { "epoch": 25.66, "learning_rate": 0.00022421052631578945, "loss": 0.0374, "step": 2900 }, { "epoch": 25.88, "learning_rate": 0.00022342105263157893, "loss": 0.036, "step": 2925 }, { "epoch": 26.11, "learning_rate": 0.0002226315789473684, "loss": 0.0339, "step": 2950 }, { "epoch": 26.33, "learning_rate": 0.00022184210526315787, "loss": 0.0312, "step": 2975 }, { "epoch": 26.55, "learning_rate": 0.00022105263157894733, "loss": 0.0285, "step": 3000 }, { "epoch": 26.55, "eval_loss": 0.22891539335250854, "eval_runtime": 10.8646, "eval_samples_per_second": 9.204, "eval_steps_per_second": 1.197, "eval_wer": 0.0693531029534856, "step": 3000 } ], "max_steps": 10000, "num_train_epochs": 89, "total_flos": 1.1850399847250571e+19, "trial_name": null, "trial_params": null }