| { | |
| "best_metric": 1.1863473653793335, | |
| "best_model_checkpoint": "./outputs/checkpoint-2900", | |
| "epoch": 2.1129326047358834, | |
| "eval_steps": 100, | |
| "global_step": 2900, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 0.0002, | |
| "loss": 1.765, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_loss": 1.631608486175537, | |
| "eval_runtime": 430.1354, | |
| "eval_samples_per_second": 14.586, | |
| "eval_steps_per_second": 1.825, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 0.0002, | |
| "loss": 1.6077, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_loss": 1.5870035886764526, | |
| "eval_runtime": 417.8578, | |
| "eval_samples_per_second": 15.015, | |
| "eval_steps_per_second": 1.879, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "learning_rate": 0.0002, | |
| "loss": 1.5755, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_loss": 1.5563029050827026, | |
| "eval_runtime": 417.8787, | |
| "eval_samples_per_second": 15.014, | |
| "eval_steps_per_second": 1.879, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 0.0002, | |
| "loss": 1.5445, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_loss": 1.5300686359405518, | |
| "eval_runtime": 417.9846, | |
| "eval_samples_per_second": 15.01, | |
| "eval_steps_per_second": 1.878, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 0.0002, | |
| "loss": 1.5114, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "eval_loss": 1.5074832439422607, | |
| "eval_runtime": 417.962, | |
| "eval_samples_per_second": 15.011, | |
| "eval_steps_per_second": 1.878, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 0.0002, | |
| "loss": 1.4946, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "eval_loss": 1.4870833158493042, | |
| "eval_runtime": 417.6568, | |
| "eval_samples_per_second": 15.022, | |
| "eval_steps_per_second": 1.88, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "learning_rate": 0.0002, | |
| "loss": 1.472, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "eval_loss": 1.4683642387390137, | |
| "eval_runtime": 417.7114, | |
| "eval_samples_per_second": 15.02, | |
| "eval_steps_per_second": 1.879, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 0.0002, | |
| "loss": 1.4622, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "eval_loss": 1.4501450061798096, | |
| "eval_runtime": 417.7046, | |
| "eval_samples_per_second": 15.02, | |
| "eval_steps_per_second": 1.879, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 0.0002, | |
| "loss": 1.433, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "eval_loss": 1.4323909282684326, | |
| "eval_runtime": 417.8696, | |
| "eval_samples_per_second": 15.014, | |
| "eval_steps_per_second": 1.879, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 0.0002, | |
| "loss": 1.4268, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_loss": 1.4162870645523071, | |
| "eval_runtime": 417.7667, | |
| "eval_samples_per_second": 15.018, | |
| "eval_steps_per_second": 1.879, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 0.0002, | |
| "loss": 1.4125, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "eval_loss": 1.4018020629882812, | |
| "eval_runtime": 417.5926, | |
| "eval_samples_per_second": 15.024, | |
| "eval_steps_per_second": 1.88, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 0.0002, | |
| "loss": 1.3846, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "eval_loss": 1.3857518434524536, | |
| "eval_runtime": 417.6267, | |
| "eval_samples_per_second": 15.023, | |
| "eval_steps_per_second": 1.88, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 0.0002, | |
| "loss": 1.3933, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "eval_loss": 1.3718016147613525, | |
| "eval_runtime": 417.2876, | |
| "eval_samples_per_second": 15.035, | |
| "eval_steps_per_second": 1.881, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 0.0002, | |
| "loss": 1.3556, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_loss": 1.3577570915222168, | |
| "eval_runtime": 417.5078, | |
| "eval_samples_per_second": 15.027, | |
| "eval_steps_per_second": 1.88, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 0.0002, | |
| "loss": 1.3316, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "eval_loss": 1.3446884155273438, | |
| "eval_runtime": 417.3899, | |
| "eval_samples_per_second": 15.032, | |
| "eval_steps_per_second": 1.881, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 0.0002, | |
| "loss": 1.3207, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "eval_loss": 1.3314917087554932, | |
| "eval_runtime": 417.7717, | |
| "eval_samples_per_second": 15.018, | |
| "eval_steps_per_second": 1.879, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 0.0002, | |
| "loss": 1.3212, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "eval_loss": 1.318053960800171, | |
| "eval_runtime": 417.56, | |
| "eval_samples_per_second": 15.025, | |
| "eval_steps_per_second": 1.88, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 0.0002, | |
| "loss": 1.2967, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "eval_loss": 1.3063520193099976, | |
| "eval_runtime": 417.5913, | |
| "eval_samples_per_second": 15.024, | |
| "eval_steps_per_second": 1.88, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 0.0002, | |
| "loss": 1.2883, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "eval_loss": 1.2934125661849976, | |
| "eval_runtime": 417.7511, | |
| "eval_samples_per_second": 15.019, | |
| "eval_steps_per_second": 1.879, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "learning_rate": 0.0002, | |
| "loss": 1.276, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "eval_loss": 1.2826957702636719, | |
| "eval_runtime": 448.0598, | |
| "eval_samples_per_second": 14.003, | |
| "eval_steps_per_second": 1.752, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 0.0002, | |
| "loss": 1.2659, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "eval_loss": 1.2710933685302734, | |
| "eval_runtime": 417.5822, | |
| "eval_samples_per_second": 15.025, | |
| "eval_steps_per_second": 1.88, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 0.0002, | |
| "loss": 1.2451, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "eval_loss": 1.259511113166809, | |
| "eval_runtime": 417.6409, | |
| "eval_samples_per_second": 15.022, | |
| "eval_steps_per_second": 1.88, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "learning_rate": 0.0002, | |
| "loss": 1.2436, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "eval_loss": 1.2497906684875488, | |
| "eval_runtime": 417.7302, | |
| "eval_samples_per_second": 15.019, | |
| "eval_steps_per_second": 1.879, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 0.0002, | |
| "loss": 1.2412, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_loss": 1.2375760078430176, | |
| "eval_runtime": 417.7184, | |
| "eval_samples_per_second": 15.02, | |
| "eval_steps_per_second": 1.879, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 0.0002, | |
| "loss": 1.2223, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "eval_loss": 1.2266868352890015, | |
| "eval_runtime": 417.9231, | |
| "eval_samples_per_second": 15.012, | |
| "eval_steps_per_second": 1.878, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "learning_rate": 0.0002, | |
| "loss": 1.2106, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "eval_loss": 1.216168999671936, | |
| "eval_runtime": 417.7189, | |
| "eval_samples_per_second": 15.02, | |
| "eval_steps_per_second": 1.879, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 0.0002, | |
| "loss": 1.2034, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "eval_loss": 1.2053289413452148, | |
| "eval_runtime": 417.5961, | |
| "eval_samples_per_second": 15.024, | |
| "eval_steps_per_second": 1.88, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "learning_rate": 0.0002, | |
| "loss": 1.1787, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "eval_loss": 1.1963659524917603, | |
| "eval_runtime": 417.7494, | |
| "eval_samples_per_second": 15.019, | |
| "eval_steps_per_second": 1.879, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "learning_rate": 0.0002, | |
| "loss": 1.1541, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "eval_loss": 1.1863473653793335, | |
| "eval_runtime": 417.6096, | |
| "eval_samples_per_second": 15.024, | |
| "eval_steps_per_second": 1.88, | |
| "step": 2900 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 4116, | |
| "num_train_epochs": 3, | |
| "save_steps": 100, | |
| "total_flos": 9.401047433193892e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |