| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 10.0, | |
| "eval_steps": 500, | |
| "global_step": 29280, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 1.4338148832321167, | |
| "learning_rate": 6.25e-05, | |
| "loss": 6.2141, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 0.9016950130462646, | |
| "learning_rate": 0.000125, | |
| "loss": 3.618, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 1.043670892715454, | |
| "learning_rate": 0.0001875, | |
| "loss": 3.3456, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 0.9938444495201111, | |
| "learning_rate": 0.00025, | |
| "loss": 3.1599, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 0.9072784781455994, | |
| "learning_rate": 0.0003125, | |
| "loss": 3.0458, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.4357148242241263, | |
| "eval_loss": 3.02449631690979, | |
| "eval_runtime": 3.3172, | |
| "eval_samples_per_second": 1353.848, | |
| "eval_steps_per_second": 10.852, | |
| "step": 2928 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 1.00283682346344, | |
| "learning_rate": 0.000375, | |
| "loss": 2.9549, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 0.9476096034049988, | |
| "learning_rate": 0.00043750000000000006, | |
| "loss": 2.8709, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "grad_norm": 0.8852096199989319, | |
| "learning_rate": 0.0005, | |
| "loss": 2.8262, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 0.8597184419631958, | |
| "learning_rate": 0.0005625000000000001, | |
| "loss": 2.782, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "grad_norm": 0.7898221015930176, | |
| "learning_rate": 0.000625, | |
| "loss": 2.7496, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "grad_norm": 0.7760418653488159, | |
| "learning_rate": 0.0006875, | |
| "loss": 2.71, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.4585250991922603, | |
| "eval_loss": 2.788106679916382, | |
| "eval_runtime": 3.4209, | |
| "eval_samples_per_second": 1312.812, | |
| "eval_steps_per_second": 10.524, | |
| "step": 5856 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "grad_norm": 0.7942250967025757, | |
| "learning_rate": 0.00075, | |
| "loss": 2.6615, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.22, | |
| "grad_norm": 0.7591288685798645, | |
| "learning_rate": 0.0008125, | |
| "loss": 2.6299, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 2.39, | |
| "grad_norm": 0.8481829762458801, | |
| "learning_rate": 0.0008750000000000001, | |
| "loss": 2.6236, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 2.56, | |
| "grad_norm": 0.6588869094848633, | |
| "learning_rate": 0.0009375, | |
| "loss": 2.6021, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "grad_norm": 0.6927358508110046, | |
| "learning_rate": 0.001, | |
| "loss": 2.5995, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "grad_norm": 0.6657132506370544, | |
| "learning_rate": 0.0010625, | |
| "loss": 2.5918, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.4682225343074601, | |
| "eval_loss": 2.6924259662628174, | |
| "eval_runtime": 3.4436, | |
| "eval_samples_per_second": 1304.177, | |
| "eval_steps_per_second": 10.454, | |
| "step": 8784 | |
| }, | |
| { | |
| "epoch": 3.07, | |
| "grad_norm": 0.6745225787162781, | |
| "learning_rate": 0.0011250000000000001, | |
| "loss": 2.5379, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 3.24, | |
| "grad_norm": 0.585035502910614, | |
| "learning_rate": 0.0011875, | |
| "loss": 2.5163, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "grad_norm": 0.5931078791618347, | |
| "learning_rate": 0.00125, | |
| "loss": 2.5212, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "grad_norm": 0.520709216594696, | |
| "learning_rate": 0.0013125, | |
| "loss": 2.5111, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "grad_norm": 0.5062893629074097, | |
| "learning_rate": 0.001375, | |
| "loss": 2.5212, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 3.93, | |
| "grad_norm": 0.4873392879962921, | |
| "learning_rate": 0.0014375000000000002, | |
| "loss": 2.5122, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.4758668693467425, | |
| "eval_loss": 2.6471331119537354, | |
| "eval_runtime": 3.4093, | |
| "eval_samples_per_second": 1317.297, | |
| "eval_steps_per_second": 10.559, | |
| "step": 11712 | |
| }, | |
| { | |
| "epoch": 4.1, | |
| "grad_norm": 0.44189488887786865, | |
| "learning_rate": 0.0015, | |
| "loss": 2.4578, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 4.27, | |
| "grad_norm": 0.4324429929256439, | |
| "learning_rate": 0.0015625, | |
| "loss": 2.4466, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "grad_norm": 0.47547757625579834, | |
| "learning_rate": 0.001625, | |
| "loss": 2.456, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 4.61, | |
| "grad_norm": 0.42384257912635803, | |
| "learning_rate": 0.0016875, | |
| "loss": 2.458, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 4.78, | |
| "grad_norm": 0.39622461795806885, | |
| "learning_rate": 0.0017500000000000003, | |
| "loss": 2.466, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 4.95, | |
| "grad_norm": 0.42361584305763245, | |
| "learning_rate": 0.0018124999999999999, | |
| "loss": 2.4623, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.48033600008415783, | |
| "eval_loss": 2.6053078174591064, | |
| "eval_runtime": 3.4538, | |
| "eval_samples_per_second": 1300.288, | |
| "eval_steps_per_second": 10.423, | |
| "step": 14640 | |
| }, | |
| { | |
| "epoch": 5.12, | |
| "grad_norm": 0.3994704782962799, | |
| "learning_rate": 0.001875, | |
| "loss": 2.4137, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 5.29, | |
| "grad_norm": 0.4023682177066803, | |
| "learning_rate": 0.0019375000000000002, | |
| "loss": 2.3975, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 5.46, | |
| "grad_norm": 0.35793477296829224, | |
| "learning_rate": 0.002, | |
| "loss": 2.406, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 5.64, | |
| "grad_norm": 0.38212522864341736, | |
| "learning_rate": 0.0020625, | |
| "loss": 2.4189, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 5.81, | |
| "grad_norm": 0.38084688782691956, | |
| "learning_rate": 0.002125, | |
| "loss": 2.4184, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 5.98, | |
| "grad_norm": 0.34888383746147156, | |
| "learning_rate": 0.0021874999999999998, | |
| "loss": 2.4246, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.4823645541301325, | |
| "eval_loss": 2.5798158645629883, | |
| "eval_runtime": 3.4334, | |
| "eval_samples_per_second": 1308.029, | |
| "eval_steps_per_second": 10.485, | |
| "step": 17568 | |
| }, | |
| { | |
| "epoch": 6.15, | |
| "grad_norm": 0.3350234925746918, | |
| "learning_rate": 0.0022500000000000003, | |
| "loss": 2.3509, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 6.32, | |
| "grad_norm": 0.33967897295951843, | |
| "learning_rate": 0.0023125000000000003, | |
| "loss": 2.3669, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 6.49, | |
| "grad_norm": 0.3444729447364807, | |
| "learning_rate": 0.002375, | |
| "loss": 2.3877, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 6.66, | |
| "grad_norm": 0.3789096176624298, | |
| "learning_rate": 0.0024375, | |
| "loss": 2.384, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 6.83, | |
| "grad_norm": 0.3346331715583801, | |
| "learning_rate": 0.0025, | |
| "loss": 2.3871, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.48582729763989924, | |
| "eval_loss": 2.564739227294922, | |
| "eval_runtime": 3.4251, | |
| "eval_samples_per_second": 1311.202, | |
| "eval_steps_per_second": 10.511, | |
| "step": 20496 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 0.31661033630371094, | |
| "learning_rate": 0.0025625, | |
| "loss": 2.3879, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 7.17, | |
| "grad_norm": 0.324239045381546, | |
| "learning_rate": 0.002625, | |
| "loss": 2.3191, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 7.34, | |
| "grad_norm": 0.3616074323654175, | |
| "learning_rate": 0.0026875000000000002, | |
| "loss": 2.3356, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 7.51, | |
| "grad_norm": 0.37798503041267395, | |
| "learning_rate": 0.00275, | |
| "loss": 2.3425, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 7.68, | |
| "grad_norm": 0.3979448974132538, | |
| "learning_rate": 0.0028125, | |
| "loss": 2.3573, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 7.86, | |
| "grad_norm": 0.31257864832878113, | |
| "learning_rate": 0.0028750000000000004, | |
| "loss": 2.3644, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.48534514348031144, | |
| "eval_loss": 2.5570876598358154, | |
| "eval_runtime": 3.4172, | |
| "eval_samples_per_second": 1314.225, | |
| "eval_steps_per_second": 10.535, | |
| "step": 23424 | |
| }, | |
| { | |
| "epoch": 8.03, | |
| "grad_norm": 0.2986924648284912, | |
| "learning_rate": 0.0029375, | |
| "loss": 2.3461, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 8.2, | |
| "grad_norm": 0.32609128952026367, | |
| "learning_rate": 0.003, | |
| "loss": 2.2927, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 8.37, | |
| "grad_norm": 0.3273513615131378, | |
| "learning_rate": 0.002715909090909091, | |
| "loss": 2.3094, | |
| "step": 24500 | |
| }, | |
| { | |
| "epoch": 8.54, | |
| "grad_norm": 0.321181982755661, | |
| "learning_rate": 0.0024318181818181817, | |
| "loss": 2.3011, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 8.71, | |
| "grad_norm": 0.3118550181388855, | |
| "learning_rate": 0.002147727272727273, | |
| "loss": 2.2864, | |
| "step": 25500 | |
| }, | |
| { | |
| "epoch": 8.88, | |
| "grad_norm": 0.30095553398132324, | |
| "learning_rate": 0.0018636363636363638, | |
| "loss": 2.2824, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.49336643540799885, | |
| "eval_loss": 2.5034055709838867, | |
| "eval_runtime": 3.4213, | |
| "eval_samples_per_second": 1312.663, | |
| "eval_steps_per_second": 10.522, | |
| "step": 26352 | |
| }, | |
| { | |
| "epoch": 9.05, | |
| "grad_norm": 0.3036137819290161, | |
| "learning_rate": 0.0015795454545454546, | |
| "loss": 2.2438, | |
| "step": 26500 | |
| }, | |
| { | |
| "epoch": 9.22, | |
| "grad_norm": 0.32144156098365784, | |
| "learning_rate": 0.0012954545454545456, | |
| "loss": 2.1689, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 9.39, | |
| "grad_norm": 0.3083929717540741, | |
| "learning_rate": 0.0010113636363636364, | |
| "loss": 2.162, | |
| "step": 27500 | |
| }, | |
| { | |
| "epoch": 9.56, | |
| "grad_norm": 0.3136695325374603, | |
| "learning_rate": 0.0007272727272727273, | |
| "loss": 2.1547, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 9.73, | |
| "grad_norm": 0.3204050362110138, | |
| "learning_rate": 0.0004431818181818182, | |
| "loss": 2.1479, | |
| "step": 28500 | |
| }, | |
| { | |
| "epoch": 9.9, | |
| "grad_norm": 0.3189040422439575, | |
| "learning_rate": 0.0001590909090909091, | |
| "loss": 2.1369, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.4999763306139839, | |
| "eval_loss": 2.471221446990967, | |
| "eval_runtime": 3.3986, | |
| "eval_samples_per_second": 1321.414, | |
| "eval_steps_per_second": 10.592, | |
| "step": 29280 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "step": 29280, | |
| "total_flos": 2273237316403200.0, | |
| "train_loss": 2.567346385267914, | |
| "train_runtime": 749.2453, | |
| "train_samples_per_second": 625.229, | |
| "train_steps_per_second": 39.079 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 29280, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 2000, | |
| "total_flos": 2273237316403200.0, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |