| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 8.936550491510276, | |
| "eval_steps": 200, | |
| "global_step": 5000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 5e-05, | |
| "loss": 0.4292, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 4.994863481875841e-05, | |
| "loss": 0.2746, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "eval_f1_score": 0.6564825695260478, | |
| "eval_label_f1": 0.8343125734430082, | |
| "eval_loss": 0.26023727655410767, | |
| "eval_runtime": 344.2386, | |
| "eval_samples_per_second": 2.905, | |
| "eval_steps_per_second": 0.363, | |
| "eval_wer": 0.10898676368139949, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 4.979475034558115e-05, | |
| "loss": 0.2568, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "learning_rate": 4.9538978924776634e-05, | |
| "loss": 0.2481, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "eval_f1_score": 0.6577916992952232, | |
| "eval_label_f1": 0.8347689898198903, | |
| "eval_loss": 0.246540829539299, | |
| "eval_runtime": 341.9234, | |
| "eval_samples_per_second": 2.925, | |
| "eval_steps_per_second": 0.366, | |
| "eval_wer": 0.10217509095131203, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 4.9182371575975736e-05, | |
| "loss": 0.2412, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "learning_rate": 4.8726393675266716e-05, | |
| "loss": 0.2385, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "eval_f1_score": 0.6684952978056427, | |
| "eval_label_f1": 0.8322884012539185, | |
| "eval_loss": 0.24104812741279602, | |
| "eval_runtime": 342.1463, | |
| "eval_samples_per_second": 2.923, | |
| "eval_steps_per_second": 0.365, | |
| "eval_wer": 0.10484557628299404, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 4.817291893365055e-05, | |
| "loss": 0.2325, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 4.752422169756048e-05, | |
| "loss": 0.2316, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "eval_f1_score": 0.6724477729601892, | |
| "eval_label_f1": 0.8316909735908553, | |
| "eval_loss": 0.23740312457084656, | |
| "eval_runtime": 344.4982, | |
| "eval_samples_per_second": 2.903, | |
| "eval_steps_per_second": 0.363, | |
| "eval_wer": 0.10221379363727842, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "learning_rate": 4.678296760308474e-05, | |
| "loss": 0.2304, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "learning_rate": 4.595220262229601e-05, | |
| "loss": 0.2291, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "eval_f1_score": 0.6698076168040833, | |
| "eval_label_f1": 0.8292108362779742, | |
| "eval_loss": 0.2348490208387375, | |
| "eval_runtime": 338.1818, | |
| "eval_samples_per_second": 2.957, | |
| "eval_steps_per_second": 0.37, | |
| "eval_wer": 0.09683412028794798, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 4.503534054669892e-05, | |
| "loss": 0.2275, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "learning_rate": 4.4036148959228365e-05, | |
| "loss": 0.2205, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "eval_f1_score": 0.6744822196170379, | |
| "eval_label_f1": 0.8339194998046112, | |
| "eval_loss": 0.2333754003047943, | |
| "eval_runtime": 340.8077, | |
| "eval_samples_per_second": 2.934, | |
| "eval_steps_per_second": 0.367, | |
| "eval_wer": 0.09636968805635111, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "learning_rate": 4.2958733752443195e-05, | |
| "loss": 0.2224, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 4.180752225653292e-05, | |
| "loss": 0.2211, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "eval_f1_score": 0.672933803368586, | |
| "eval_label_f1": 0.8327457892675283, | |
| "eval_loss": 0.2319139689207077, | |
| "eval_runtime": 341.1059, | |
| "eval_samples_per_second": 2.932, | |
| "eval_steps_per_second": 0.366, | |
| "eval_wer": 0.09606006656861986, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.68, | |
| "learning_rate": 4.058724504646834e-05, | |
| "loss": 0.2196, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "learning_rate": 3.9302916503054246e-05, | |
| "loss": 0.2163, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "eval_f1_score": 0.6731669266770671, | |
| "eval_label_f1": 0.829953198127925, | |
| "eval_loss": 0.2304619699716568, | |
| "eval_runtime": 340.688, | |
| "eval_samples_per_second": 2.935, | |
| "eval_steps_per_second": 0.367, | |
| "eval_wer": 0.09807260623887298, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 3.04, | |
| "learning_rate": 3.7959814207763135e-05, | |
| "loss": 0.219, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "learning_rate": 3.656345725602089e-05, | |
| "loss": 0.2108, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "eval_f1_score": 0.6734375, | |
| "eval_label_f1": 0.8328125000000001, | |
| "eval_loss": 0.22986993193626404, | |
| "eval_runtime": 338.4413, | |
| "eval_samples_per_second": 2.955, | |
| "eval_steps_per_second": 0.369, | |
| "eval_wer": 0.09544082359315736, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 3.4, | |
| "learning_rate": 3.5119583578059846e-05, | |
| "loss": 0.2132, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "learning_rate": 3.363412636053269e-05, | |
| "loss": 0.2104, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "eval_f1_score": 0.6792156862745098, | |
| "eval_label_f1": 0.8368627450980393, | |
| "eval_loss": 0.22974026203155518, | |
| "eval_runtime": 343.1743, | |
| "eval_samples_per_second": 2.914, | |
| "eval_steps_per_second": 0.364, | |
| "eval_wer": 0.09919498413189876, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "learning_rate": 3.211318966577581e-05, | |
| "loss": 0.2128, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 3.93, | |
| "learning_rate": 3.056302334890786e-05, | |
| "loss": 0.2124, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 3.93, | |
| "eval_f1_score": 0.6781925343811395, | |
| "eval_label_f1": 0.8345776031434184, | |
| "eval_loss": 0.2278670072555542, | |
| "eval_runtime": 338.3142, | |
| "eval_samples_per_second": 2.956, | |
| "eval_steps_per_second": 0.369, | |
| "eval_wer": 0.09447325644399722, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 4.11, | |
| "learning_rate": 2.8989997375834482e-05, | |
| "loss": 0.2077, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 4.29, | |
| "learning_rate": 2.7400575647692046e-05, | |
| "loss": 0.2027, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 4.29, | |
| "eval_f1_score": 0.6789638932496076, | |
| "eval_label_f1": 0.8335949764521193, | |
| "eval_loss": 0.22793905436992645, | |
| "eval_runtime": 338.197, | |
| "eval_samples_per_second": 2.957, | |
| "eval_steps_per_second": 0.37, | |
| "eval_wer": 0.09443455375803081, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 4.47, | |
| "learning_rate": 2.5801289439291388e-05, | |
| "loss": 0.2077, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 4.65, | |
| "learning_rate": 2.419871056070862e-05, | |
| "loss": 0.2055, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 4.65, | |
| "eval_f1_score": 0.6832347140039449, | |
| "eval_label_f1": 0.8347140039447732, | |
| "eval_loss": 0.2275087535381317, | |
| "eval_runtime": 337.608, | |
| "eval_samples_per_second": 2.962, | |
| "eval_steps_per_second": 0.37, | |
| "eval_wer": 0.09493768867559409, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 4.83, | |
| "learning_rate": 2.2599424352307957e-05, | |
| "loss": 0.2073, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 2.1010002624165527e-05, | |
| "loss": 0.209, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_f1_score": 0.6821766561514195, | |
| "eval_label_f1": 0.833596214511041, | |
| "eval_loss": 0.22685159742832184, | |
| "eval_runtime": 338.9186, | |
| "eval_samples_per_second": 2.951, | |
| "eval_steps_per_second": 0.369, | |
| "eval_wer": 0.09826611966870501, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 5.18, | |
| "learning_rate": 1.9436976651092144e-05, | |
| "loss": 0.2011, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 5.36, | |
| "learning_rate": 1.7886810334224192e-05, | |
| "loss": 0.2017, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 5.36, | |
| "eval_f1_score": 0.6834645669291338, | |
| "eval_label_f1": 0.8346456692913385, | |
| "eval_loss": 0.22723452746868134, | |
| "eval_runtime": 337.6021, | |
| "eval_samples_per_second": 2.962, | |
| "eval_steps_per_second": 0.37, | |
| "eval_wer": 0.09791779549500736, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 5.54, | |
| "learning_rate": 1.6365873639467315e-05, | |
| "loss": 0.2034, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 5.72, | |
| "learning_rate": 1.4880416421940155e-05, | |
| "loss": 0.2029, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 5.72, | |
| "eval_f1_score": 0.6818718049547778, | |
| "eval_label_f1": 0.8320880849390484, | |
| "eval_loss": 0.22658005356788635, | |
| "eval_runtime": 338.8852, | |
| "eval_samples_per_second": 2.951, | |
| "eval_steps_per_second": 0.369, | |
| "eval_wer": 0.09656320148618314, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 5.9, | |
| "learning_rate": 1.3436542743979125e-05, | |
| "loss": 0.202, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 6.08, | |
| "learning_rate": 1.2040185792236874e-05, | |
| "loss": 0.201, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 6.08, | |
| "eval_f1_score": 0.6800472255017709, | |
| "eval_label_f1": 0.8327430145611965, | |
| "eval_loss": 0.22656936943531036, | |
| "eval_runtime": 337.9074, | |
| "eval_samples_per_second": 2.959, | |
| "eval_steps_per_second": 0.37, | |
| "eval_wer": 0.09776298475114173, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 6.26, | |
| "learning_rate": 1.0697083496945765e-05, | |
| "loss": 0.1979, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 6.43, | |
| "learning_rate": 9.412754953531663e-06, | |
| "loss": 0.1985, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 6.43, | |
| "eval_f1_score": 0.6856465005931198, | |
| "eval_label_f1": 0.8335310399367339, | |
| "eval_loss": 0.22672241926193237, | |
| "eval_runtime": 339.7265, | |
| "eval_samples_per_second": 2.944, | |
| "eval_steps_per_second": 0.368, | |
| "eval_wer": 0.0994659029336636, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 6.61, | |
| "learning_rate": 8.192477743467078e-06, | |
| "loss": 0.2006, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "learning_rate": 7.041266247556813e-06, | |
| "loss": 0.1996, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "eval_f1_score": 0.686437327006722, | |
| "eval_label_f1": 0.8343218663503361, | |
| "eval_loss": 0.226467102766037, | |
| "eval_runtime": 338.3929, | |
| "eval_samples_per_second": 2.955, | |
| "eval_steps_per_second": 0.369, | |
| "eval_wer": 0.0988079572722347, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 6.97, | |
| "learning_rate": 5.9638510407716394e-06, | |
| "loss": 0.2002, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 7.15, | |
| "learning_rate": 4.9646594533010875e-06, | |
| "loss": 0.197, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 7.15, | |
| "eval_f1_score": 0.6843354430379748, | |
| "eval_label_f1": 0.8346518987341772, | |
| "eval_loss": 0.2263847291469574, | |
| "eval_runtime": 338.0877, | |
| "eval_samples_per_second": 2.958, | |
| "eval_steps_per_second": 0.37, | |
| "eval_wer": 0.09857574115643626, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 7.33, | |
| "learning_rate": 4.047797377703985e-06, | |
| "loss": 0.1983, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 7.51, | |
| "learning_rate": 3.217032396915265e-06, | |
| "loss": 0.1985, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 7.51, | |
| "eval_f1_score": 0.6837539432176655, | |
| "eval_label_f1": 0.8351735015772871, | |
| "eval_loss": 0.22642947733402252, | |
| "eval_runtime": 337.2581, | |
| "eval_samples_per_second": 2.965, | |
| "eval_steps_per_second": 0.371, | |
| "eval_wer": 0.09849833578450344, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 7.69, | |
| "learning_rate": 2.475778302439524e-06, | |
| "loss": 0.1967, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 7.86, | |
| "learning_rate": 1.827081066349459e-06, | |
| "loss": 0.1999, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 7.86, | |
| "eval_f1_score": 0.6861429135412555, | |
| "eval_label_f1": 0.8345834978286616, | |
| "eval_loss": 0.2263396978378296, | |
| "eval_runtime": 339.5995, | |
| "eval_samples_per_second": 2.945, | |
| "eval_steps_per_second": 0.368, | |
| "eval_wer": 0.09776298475114173, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 8.04, | |
| "learning_rate": 1.273606324733284e-06, | |
| "loss": 0.1953, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 8.22, | |
| "learning_rate": 8.176284240242638e-07, | |
| "loss": 0.1963, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 8.22, | |
| "eval_f1_score": 0.6864139020537124, | |
| "eval_label_f1": 0.8317535545023697, | |
| "eval_loss": 0.22643861174583435, | |
| "eval_runtime": 339.619, | |
| "eval_samples_per_second": 2.944, | |
| "eval_steps_per_second": 0.368, | |
| "eval_wer": 0.09784039012307454, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 8.4, | |
| "learning_rate": 4.6102107522336403e-07, | |
| "loss": 0.1984, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 8.58, | |
| "learning_rate": 2.052496544188487e-07, | |
| "loss": 0.1977, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 8.58, | |
| "eval_f1_score": 0.6874753062030818, | |
| "eval_label_f1": 0.8328723824575267, | |
| "eval_loss": 0.22642208635807037, | |
| "eval_runtime": 337.3275, | |
| "eval_samples_per_second": 2.964, | |
| "eval_steps_per_second": 0.371, | |
| "eval_wer": 0.09791779549500736, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 8.76, | |
| "learning_rate": 5.136518124159162e-08, | |
| "loss": 0.1979, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 8.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.1961, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 8.94, | |
| "eval_f1_score": 0.6872037914691944, | |
| "eval_label_f1": 0.8325434439178515, | |
| "eval_loss": 0.22641009092330933, | |
| "eval_runtime": 337.666, | |
| "eval_samples_per_second": 2.962, | |
| "eval_steps_per_second": 0.37, | |
| "eval_wer": 0.09799520086694016, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 8.94, | |
| "step": 5000, | |
| "total_flos": 1.9683074514013055e+20, | |
| "train_loss": 0.21677429428100586, | |
| "train_runtime": 50642.5955, | |
| "train_samples_per_second": 12.638, | |
| "train_steps_per_second": 0.099 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 5000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 9, | |
| "save_steps": 200, | |
| "total_flos": 1.9683074514013055e+20, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |