| { | |
| "best_metric": 1.042420506477356, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-30000", | |
| "epoch": 1.2222946544980444, | |
| "eval_steps": 1000, | |
| "global_step": 30000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0, | |
| "learning_rate": 2.7777777777777777e-11, | |
| "loss": 1.1506, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.1326, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.3331337325349301, | |
| "eval_loss": 1.1057127714157104, | |
| "eval_runtime": 61.3538, | |
| "eval_samples_per_second": 81.657, | |
| "eval_steps_per_second": 10.219, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.1238, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.33812375249501, | |
| "eval_loss": 1.1044437885284424, | |
| "eval_runtime": 61.256, | |
| "eval_samples_per_second": 81.788, | |
| "eval_steps_per_second": 10.236, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.1251, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.3407185628742515, | |
| "eval_loss": 1.1043975353240967, | |
| "eval_runtime": 61.2433, | |
| "eval_samples_per_second": 81.805, | |
| "eval_steps_per_second": 10.238, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.1205, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.3387225548902196, | |
| "eval_loss": 1.100860357284546, | |
| "eval_runtime": 61.4457, | |
| "eval_samples_per_second": 81.535, | |
| "eval_steps_per_second": 10.204, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3880555555555558e-07, | |
| "loss": 1.1192, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.34151696606786425, | |
| "eval_loss": 1.1005476713180542, | |
| "eval_runtime": 61.2568, | |
| "eval_samples_per_second": 81.787, | |
| "eval_steps_per_second": 10.236, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.1145, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.3508982035928144, | |
| "eval_loss": 1.0979759693145752, | |
| "eval_runtime": 61.2221, | |
| "eval_samples_per_second": 81.833, | |
| "eval_steps_per_second": 10.241, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9433333333333334e-07, | |
| "loss": 1.1164, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.35508982035928144, | |
| "eval_loss": 1.0955135822296143, | |
| "eval_runtime": 61.255, | |
| "eval_samples_per_second": 81.789, | |
| "eval_steps_per_second": 10.236, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 2.2211111111111114e-07, | |
| "loss": 1.1091, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_accuracy": 0.36147704590818364, | |
| "eval_loss": 1.0946425199508667, | |
| "eval_runtime": 61.3011, | |
| "eval_samples_per_second": 81.728, | |
| "eval_steps_per_second": 10.228, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 2.4986111111111113e-07, | |
| "loss": 1.107, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_accuracy": 0.3471057884231537, | |
| "eval_loss": 1.10226309299469, | |
| "eval_runtime": 61.3193, | |
| "eval_samples_per_second": 81.703, | |
| "eval_steps_per_second": 10.225, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 2.776388888888889e-07, | |
| "loss": 1.1055, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_accuracy": 0.3774451097804391, | |
| "eval_loss": 1.0922847986221313, | |
| "eval_runtime": 61.1866, | |
| "eval_samples_per_second": 81.881, | |
| "eval_steps_per_second": 10.247, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 3.0541666666666667e-07, | |
| "loss": 1.1028, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_accuracy": 0.37425149700598803, | |
| "eval_loss": 1.0914534330368042, | |
| "eval_runtime": 61.341, | |
| "eval_samples_per_second": 81.675, | |
| "eval_steps_per_second": 10.222, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.3319444444444444e-07, | |
| "loss": 1.1024, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.3872255489021956, | |
| "eval_loss": 1.0888582468032837, | |
| "eval_runtime": 61.4245, | |
| "eval_samples_per_second": 81.564, | |
| "eval_steps_per_second": 10.208, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 3.6094444444444446e-07, | |
| "loss": 1.1015, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.3397205588822355, | |
| "eval_loss": 1.096097707748413, | |
| "eval_runtime": 61.3257, | |
| "eval_samples_per_second": 81.695, | |
| "eval_steps_per_second": 10.224, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 3.8872222222222223e-07, | |
| "loss": 1.1, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_accuracy": 0.36387225548902197, | |
| "eval_loss": 1.0940359830856323, | |
| "eval_runtime": 61.2945, | |
| "eval_samples_per_second": 81.737, | |
| "eval_steps_per_second": 10.229, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 4.1650000000000006e-07, | |
| "loss": 1.0997, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_accuracy": 0.38602794411177643, | |
| "eval_loss": 1.0880299806594849, | |
| "eval_runtime": 61.2546, | |
| "eval_samples_per_second": 81.79, | |
| "eval_steps_per_second": 10.236, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 4.4425e-07, | |
| "loss": 1.0987, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "eval_accuracy": 0.38962075848303396, | |
| "eval_loss": 1.0837221145629883, | |
| "eval_runtime": 61.1947, | |
| "eval_samples_per_second": 81.87, | |
| "eval_steps_per_second": 10.246, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 4.7202777777777785e-07, | |
| "loss": 1.0943, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_accuracy": 0.4033932135728543, | |
| "eval_loss": 1.081850290298462, | |
| "eval_runtime": 61.2293, | |
| "eval_samples_per_second": 81.824, | |
| "eval_steps_per_second": 10.24, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 4.997777777777779e-07, | |
| "loss": 1.0966, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_accuracy": 0.4031936127744511, | |
| "eval_loss": 1.0839308500289917, | |
| "eval_runtime": 61.2192, | |
| "eval_samples_per_second": 81.837, | |
| "eval_steps_per_second": 10.242, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 5.275555555555556e-07, | |
| "loss": 1.0935, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_accuracy": 0.40099800399201596, | |
| "eval_loss": 1.0814112424850464, | |
| "eval_runtime": 61.1921, | |
| "eval_samples_per_second": 81.873, | |
| "eval_steps_per_second": 10.246, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 5.553055555555556e-07, | |
| "loss": 1.0939, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "eval_accuracy": 0.39241516966067863, | |
| "eval_loss": 1.0840386152267456, | |
| "eval_runtime": 61.2683, | |
| "eval_samples_per_second": 81.772, | |
| "eval_steps_per_second": 10.234, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 5.830833333333334e-07, | |
| "loss": 1.0917, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "eval_accuracy": 0.38303393213572856, | |
| "eval_loss": 1.083555817604065, | |
| "eval_runtime": 61.2974, | |
| "eval_samples_per_second": 81.733, | |
| "eval_steps_per_second": 10.229, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 6.108333333333333e-07, | |
| "loss": 1.0926, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_accuracy": 0.39481037924151696, | |
| "eval_loss": 1.080513834953308, | |
| "eval_runtime": 61.4078, | |
| "eval_samples_per_second": 81.586, | |
| "eval_steps_per_second": 10.21, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 6.386111111111112e-07, | |
| "loss": 1.09, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_accuracy": 0.4115768463073852, | |
| "eval_loss": 1.076084017753601, | |
| "eval_runtime": 61.6647, | |
| "eval_samples_per_second": 81.246, | |
| "eval_steps_per_second": 10.168, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 6.663888888888889e-07, | |
| "loss": 1.0879, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_accuracy": 0.42734530938123755, | |
| "eval_loss": 1.0709619522094727, | |
| "eval_runtime": 61.3291, | |
| "eval_samples_per_second": 81.69, | |
| "eval_steps_per_second": 10.224, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 6.94138888888889e-07, | |
| "loss": 1.0846, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_accuracy": 0.417564870259481, | |
| "eval_loss": 1.0698238611221313, | |
| "eval_runtime": 61.3091, | |
| "eval_samples_per_second": 81.717, | |
| "eval_steps_per_second": 10.227, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 7.219166666666666e-07, | |
| "loss": 1.0821, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "eval_accuracy": 0.43313373253493015, | |
| "eval_loss": 1.065280795097351, | |
| "eval_runtime": 61.4486, | |
| "eval_samples_per_second": 81.532, | |
| "eval_steps_per_second": 10.204, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 7.496666666666667e-07, | |
| "loss": 1.078, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_accuracy": 0.4367265469061876, | |
| "eval_loss": 1.059377908706665, | |
| "eval_runtime": 61.6257, | |
| "eval_samples_per_second": 81.297, | |
| "eval_steps_per_second": 10.174, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 7.774444444444445e-07, | |
| "loss": 1.0707, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_accuracy": 0.437125748502994, | |
| "eval_loss": 1.0536556243896484, | |
| "eval_runtime": 61.8255, | |
| "eval_samples_per_second": 81.035, | |
| "eval_steps_per_second": 10.141, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 8.051944444444445e-07, | |
| "loss": 1.0658, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "eval_accuracy": 0.4425149700598802, | |
| "eval_loss": 1.0465552806854248, | |
| "eval_runtime": 61.6813, | |
| "eval_samples_per_second": 81.224, | |
| "eval_steps_per_second": 10.165, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 8.329722222222223e-07, | |
| "loss": 1.0596, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "eval_accuracy": 0.44011976047904194, | |
| "eval_loss": 1.042420506477356, | |
| "eval_runtime": 61.7796, | |
| "eval_samples_per_second": 81.095, | |
| "eval_steps_per_second": 10.149, | |
| "step": 30000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 6.27103926166487e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |