| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 7.149240393208221, | |
| "eval_steps": 200, | |
| "global_step": 4000, | |
| "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 | |
| }, | |
| { | |
| "epoch": 6.61, | |
| "learning_rate": 1.9216926233717085e-05, | |
| "loss": 0.4218, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "learning_rate": 1.6543469682057106e-05, | |
| "loss": 0.4203, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "eval_f1_score": 0.7933884297520661, | |
| "eval_label_f1": 0.9090909090909092, | |
| "eval_loss": 0.42517000436782837, | |
| "eval_runtime": 45.4234, | |
| "eval_samples_per_second": 2.202, | |
| "eval_steps_per_second": 0.088, | |
| "eval_wer": 0.059877955758962625, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 6.97, | |
| "learning_rate": 1.4033009983067452e-05, | |
| "loss": 0.4215, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 7.15, | |
| "learning_rate": 1.1697777844051105e-05, | |
| "loss": 0.4214, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 7.15, | |
| "eval_f1_score": 0.8049792531120332, | |
| "eval_label_f1": 0.9045643153526971, | |
| "eval_loss": 0.4253119230270386, | |
| "eval_runtime": 45.4883, | |
| "eval_samples_per_second": 2.198, | |
| "eval_steps_per_second": 0.088, | |
| "eval_wer": 0.059877955758962625, | |
| "step": 4000 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 5000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 9, | |
| "save_steps": 200, | |
| "total_flos": 1.0959296953957414e+21, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |