{ "best_metric": null, "best_model_checkpoint": null, "epoch": 6.434316353887399, "eval_steps": 200, "global_step": 3600, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.18, "learning_rate": 2e-05, "loss": 0.5179, "step": 100 }, { "epoch": 0.36, "learning_rate": 4e-05, "loss": 0.4435, "step": 200 }, { "epoch": 0.36, "eval_f1_score": 0.4513274336283186, "eval_label_f1": 0.7168141592920354, "eval_loss": 0.4356614947319031, "eval_runtime": 45.8378, "eval_samples_per_second": 2.182, "eval_steps_per_second": 0.087, "eval_wer": 0.059877955758962625, "step": 200 }, { "epoch": 0.54, "learning_rate": 6e-05, "loss": 0.4296, "step": 300 }, { "epoch": 0.71, "learning_rate": 8e-05, "loss": 0.4309, "step": 400 }, { "epoch": 0.71, "eval_f1_score": 0.6751054852320675, "eval_label_f1": 0.8354430379746836, "eval_loss": 0.43058258295059204, "eval_runtime": 45.2842, "eval_samples_per_second": 2.208, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 400 }, { "epoch": 0.89, "learning_rate": 0.0001, "loss": 0.4262, "step": 500 }, { "epoch": 1.07, "learning_rate": 9.987820251299122e-05, "loss": 0.4235, "step": 600 }, { "epoch": 1.07, "eval_f1_score": 0.6721991701244813, "eval_label_f1": 0.8547717842323652, "eval_loss": 0.42819398641586304, "eval_runtime": 45.2307, "eval_samples_per_second": 2.211, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 600 }, { "epoch": 1.25, "learning_rate": 9.951340343707852e-05, "loss": 0.423, "step": 700 }, { "epoch": 1.43, "learning_rate": 9.890738003669029e-05, "loss": 0.4267, "step": 800 }, { "epoch": 1.43, "eval_f1_score": 0.7073170731707317, "eval_label_f1": 0.845528455284553, "eval_loss": 0.4269372224807739, "eval_runtime": 45.2446, "eval_samples_per_second": 2.21, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 800 }, { "epoch": 1.61, "learning_rate": 9.806308479691595e-05, "loss": 0.4283, "step": 900 }, { "epoch": 1.79, "learning_rate": 9.698463103929542e-05, "loss": 0.4254, "step": 1000 }, { "epoch": 1.79, "eval_f1_score": 0.7272727272727273, "eval_label_f1": 0.8677685950413223, "eval_loss": 0.42638763785362244, "eval_runtime": 45.2086, "eval_samples_per_second": 2.212, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 1000 }, { "epoch": 1.97, "learning_rate": 9.567727288213005e-05, "loss": 0.4225, "step": 1100 }, { "epoch": 2.14, "learning_rate": 9.414737964294636e-05, "loss": 0.4264, "step": 1200 }, { "epoch": 2.14, "eval_f1_score": 0.7398373983739838, "eval_label_f1": 0.8780487804878049, "eval_loss": 0.42636168003082275, "eval_runtime": 45.2052, "eval_samples_per_second": 2.212, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 1200 }, { "epoch": 2.32, "learning_rate": 9.24024048078213e-05, "loss": 0.4263, "step": 1300 }, { "epoch": 2.5, "learning_rate": 9.045084971874738e-05, "loss": 0.4206, "step": 1400 }, { "epoch": 2.5, "eval_f1_score": 0.7206477732793523, "eval_label_f1": 0.8582995951417003, "eval_loss": 0.4262264370918274, "eval_runtime": 45.2829, "eval_samples_per_second": 2.208, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 1400 }, { "epoch": 2.68, "learning_rate": 8.83022221559489e-05, "loss": 0.4244, "step": 1500 }, { "epoch": 2.86, "learning_rate": 8.596699001693255e-05, "loss": 0.4232, "step": 1600 }, { "epoch": 2.86, "eval_f1_score": 0.7410358565737052, "eval_label_f1": 0.8685258964143426, "eval_loss": 0.42596718668937683, "eval_runtime": 45.2943, "eval_samples_per_second": 2.208, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 1600 }, { "epoch": 3.04, "learning_rate": 8.345653031794292e-05, "loss": 0.4224, "step": 1700 }, { "epoch": 3.22, "learning_rate": 8.07830737662829e-05, "loss": 0.4249, "step": 1800 }, { "epoch": 3.22, "eval_f1_score": 0.7603305785123967, "eval_label_f1": 0.8925619834710744, "eval_loss": 0.4255012273788452, "eval_runtime": 45.1763, "eval_samples_per_second": 2.214, "eval_steps_per_second": 0.089, "eval_wer": 0.059877955758962625, "step": 1800 }, { "epoch": 3.4, "learning_rate": 7.795964517353735e-05, "loss": 0.4231, "step": 1900 }, { "epoch": 3.57, "learning_rate": 7.500000000000001e-05, "loss": 0.4239, "step": 2000 }, { "epoch": 3.57, "eval_f1_score": 0.7630522088353413, "eval_label_f1": 0.8835341365461847, "eval_loss": 0.42558813095092773, "eval_runtime": 45.2083, "eval_samples_per_second": 2.212, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 2000 }, { "epoch": 3.75, "learning_rate": 7.191855733945387e-05, "loss": 0.4222, "step": 2100 }, { "epoch": 3.93, "learning_rate": 6.873032967079561e-05, "loss": 0.4213, "step": 2200 }, { "epoch": 3.93, "eval_f1_score": 0.7692307692307692, "eval_label_f1": 0.8987854251012146, "eval_loss": 0.42547106742858887, "eval_runtime": 45.1934, "eval_samples_per_second": 2.213, "eval_steps_per_second": 0.089, "eval_wer": 0.059877955758962625, "step": 2200 }, { "epoch": 4.11, "learning_rate": 6.545084971874738e-05, "loss": 0.4219, "step": 2300 }, { "epoch": 4.29, "learning_rate": 6.209609477998338e-05, "loss": 0.4213, "step": 2400 }, { "epoch": 4.29, "eval_f1_score": 0.7768595041322314, "eval_label_f1": 0.8925619834710744, "eval_loss": 0.4256010055541992, "eval_runtime": 45.2023, "eval_samples_per_second": 2.212, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 2400 }, { "epoch": 4.47, "learning_rate": 5.868240888334653e-05, "loss": 0.4206, "step": 2500 }, { "epoch": 4.65, "learning_rate": 5.522642316338268e-05, "loss": 0.4244, "step": 2600 }, { "epoch": 4.65, "eval_f1_score": 0.7710843373493976, "eval_label_f1": 0.899598393574297, "eval_loss": 0.42528876662254333, "eval_runtime": 45.2, "eval_samples_per_second": 2.212, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 2600 }, { "epoch": 4.83, "learning_rate": 5.174497483512506e-05, "loss": 0.4234, "step": 2700 }, { "epoch": 5.0, "learning_rate": 4.825502516487497e-05, "loss": 0.4234, "step": 2800 }, { "epoch": 5.0, "eval_f1_score": 0.7385892116182572, "eval_label_f1": 0.8796680497925312, "eval_loss": 0.42544686794281006, "eval_runtime": 45.4613, "eval_samples_per_second": 2.2, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 2800 }, { "epoch": 5.18, "learning_rate": 4.477357683661734e-05, "loss": 0.4227, "step": 2900 }, { "epoch": 5.36, "learning_rate": 4.131759111665349e-05, "loss": 0.4222, "step": 3000 }, { "epoch": 5.36, "eval_f1_score": 0.7916666666666667, "eval_label_f1": 0.9, "eval_loss": 0.4252234399318695, "eval_runtime": 45.4771, "eval_samples_per_second": 2.199, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 3000 }, { "epoch": 5.54, "learning_rate": 3.790390522001662e-05, "loss": 0.4233, "step": 3100 }, { "epoch": 5.72, "learning_rate": 3.4549150281252636e-05, "loss": 0.4239, "step": 3200 }, { "epoch": 5.72, "eval_f1_score": 0.7800829875518673, "eval_label_f1": 0.896265560165975, "eval_loss": 0.42535117268562317, "eval_runtime": 45.3979, "eval_samples_per_second": 2.203, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 3200 }, { "epoch": 5.9, "learning_rate": 3.12696703292044e-05, "loss": 0.4197, "step": 3300 }, { "epoch": 6.08, "learning_rate": 2.8081442660546125e-05, "loss": 0.4201, "step": 3400 }, { "epoch": 6.08, "eval_f1_score": 0.7949790794979079, "eval_label_f1": 0.8953974895397491, "eval_loss": 0.4253609776496887, "eval_runtime": 45.5098, "eval_samples_per_second": 2.197, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 3400 }, { "epoch": 6.26, "learning_rate": 2.500000000000001e-05, "loss": 0.4226, "step": 3500 }, { "epoch": 6.43, "learning_rate": 2.2040354826462668e-05, "loss": 0.4194, "step": 3600 }, { "epoch": 6.43, "eval_f1_score": 0.7851239669421488, "eval_label_f1": 0.9008264462809917, "eval_loss": 0.4253368377685547, "eval_runtime": 45.4648, "eval_samples_per_second": 2.2, "eval_steps_per_second": 0.088, "eval_wer": 0.059877955758962625, "step": 3600 } ], "logging_steps": 100, "max_steps": 5000, "num_input_tokens_seen": 0, "num_train_epochs": 9, "save_steps": 200, "total_flos": 9.863373680112527e+20, "train_batch_size": 64, "trial_name": null, "trial_params": null }