tyzhu's picture
Training in progress, epoch 26, checkpoint
18ea677 verified
raw
history blame
No virus
19 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 26.0,
"eval_steps": 500,
"global_step": 8879,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.29,
"learning_rate": 0.0001,
"loss": 1.4842,
"step": 100
},
{
"epoch": 0.59,
"learning_rate": 0.0001,
"loss": 1.4016,
"step": 200
},
{
"epoch": 0.88,
"learning_rate": 0.0001,
"loss": 1.3892,
"step": 300
},
{
"epoch": 1.0,
"eval_accuracy": 0.4543589743589744,
"eval_loss": 3.4055869579315186,
"eval_runtime": 4.1688,
"eval_samples_per_second": 119.938,
"eval_steps_per_second": 15.112,
"step": 341
},
{
"epoch": 1.0,
"eval_bleu": 0.09711501224106496,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.054,
"step": 341
},
{
"epoch": 1.17,
"learning_rate": 0.0001,
"loss": 1.3608,
"step": 400
},
{
"epoch": 1.46,
"learning_rate": 0.0001,
"loss": 1.3456,
"step": 500
},
{
"epoch": 1.76,
"learning_rate": 0.0001,
"loss": 1.3499,
"step": 600
},
{
"epoch": 2.0,
"eval_accuracy": 0.4576923076923077,
"eval_loss": 3.453113317489624,
"eval_runtime": 4.4031,
"eval_samples_per_second": 113.556,
"eval_steps_per_second": 14.308,
"step": 683
},
{
"epoch": 2.0,
"eval_bleu": 0.1225593574040313,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.056,
"step": 683
},
{
"epoch": 2.05,
"learning_rate": 0.0001,
"loss": 1.3238,
"step": 700
},
{
"epoch": 2.34,
"learning_rate": 0.0001,
"loss": 1.2486,
"step": 800
},
{
"epoch": 2.64,
"learning_rate": 0.0001,
"loss": 1.2452,
"step": 900
},
{
"epoch": 2.93,
"learning_rate": 0.0001,
"loss": 1.2427,
"step": 1000
},
{
"epoch": 3.0,
"eval_accuracy": 0.4584102564102564,
"eval_loss": 3.671137809753418,
"eval_runtime": 4.4094,
"eval_samples_per_second": 113.393,
"eval_steps_per_second": 14.288,
"step": 1024
},
{
"epoch": 3.0,
"eval_bleu": 0.13165889774889974,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.056,
"step": 1024
},
{
"epoch": 3.22,
"learning_rate": 0.0001,
"loss": 1.1507,
"step": 1100
},
{
"epoch": 3.51,
"learning_rate": 0.0001,
"loss": 1.1218,
"step": 1200
},
{
"epoch": 3.81,
"learning_rate": 0.0001,
"loss": 1.1231,
"step": 1300
},
{
"epoch": 4.0,
"eval_accuracy": 0.45697435897435895,
"eval_loss": 3.7999510765075684,
"eval_runtime": 4.0886,
"eval_samples_per_second": 122.29,
"eval_steps_per_second": 15.409,
"step": 1366
},
{
"epoch": 4.0,
"eval_bleu": 0.15413978034957934,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.054,
"step": 1366
},
{
"epoch": 4.1,
"learning_rate": 0.0001,
"loss": 1.0823,
"step": 1400
},
{
"epoch": 4.39,
"learning_rate": 0.0001,
"loss": 0.997,
"step": 1500
},
{
"epoch": 4.69,
"learning_rate": 0.0001,
"loss": 1.0024,
"step": 1600
},
{
"epoch": 4.98,
"learning_rate": 0.0001,
"loss": 0.995,
"step": 1700
},
{
"epoch": 5.0,
"eval_accuracy": 0.4552307692307692,
"eval_loss": 3.953216314315796,
"eval_runtime": 4.9824,
"eval_samples_per_second": 100.354,
"eval_steps_per_second": 12.645,
"step": 1707
},
{
"epoch": 5.0,
"eval_bleu": 0.1611344512465791,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.046,
"step": 1707
},
{
"epoch": 5.27,
"learning_rate": 0.0001,
"loss": 0.8495,
"step": 1800
},
{
"epoch": 5.56,
"learning_rate": 0.0001,
"loss": 0.854,
"step": 1900
},
{
"epoch": 5.86,
"learning_rate": 0.0001,
"loss": 0.8693,
"step": 2000
},
{
"epoch": 6.0,
"eval_accuracy": 0.45261538461538464,
"eval_loss": 4.0766072273254395,
"eval_runtime": 4.8095,
"eval_samples_per_second": 103.961,
"eval_steps_per_second": 13.099,
"step": 2049
},
{
"epoch": 6.0,
"eval_bleu": 0.1489904300924264,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.044,
"step": 2049
},
{
"epoch": 6.15,
"learning_rate": 0.0001,
"loss": 0.7917,
"step": 2100
},
{
"epoch": 6.44,
"learning_rate": 0.0001,
"loss": 0.7061,
"step": 2200
},
{
"epoch": 6.73,
"learning_rate": 0.0001,
"loss": 0.7302,
"step": 2300
},
{
"epoch": 7.0,
"eval_accuracy": 0.4501025641025641,
"eval_loss": 4.171727180480957,
"eval_runtime": 4.2169,
"eval_samples_per_second": 118.57,
"eval_steps_per_second": 14.94,
"step": 2390
},
{
"epoch": 7.0,
"step": 2390
},
{
"epoch": 7.03,
"learning_rate": 0.0001,
"loss": 0.7227,
"step": 2400
},
{
"epoch": 7.32,
"learning_rate": 0.0001,
"loss": 0.573,
"step": 2500
},
{
"epoch": 7.61,
"learning_rate": 0.0001,
"loss": 0.6036,
"step": 2600
},
{
"epoch": 7.91,
"learning_rate": 0.0001,
"loss": 0.6033,
"step": 2700
},
{
"epoch": 8.0,
"eval_accuracy": 0.448,
"eval_loss": 4.277780055999756,
"eval_runtime": 4.0947,
"eval_samples_per_second": 122.11,
"eval_steps_per_second": 15.386,
"step": 2732
},
{
"epoch": 8.0,
"step": 2732
},
{
"epoch": 8.2,
"learning_rate": 0.0001,
"loss": 0.4945,
"step": 2800
},
{
"epoch": 8.49,
"learning_rate": 0.0001,
"loss": 0.4718,
"step": 2900
},
{
"epoch": 8.78,
"learning_rate": 0.0001,
"loss": 0.4825,
"step": 3000
},
{
"epoch": 9.0,
"eval_accuracy": 0.4462051282051282,
"eval_loss": 4.34151554107666,
"eval_runtime": 4.8113,
"eval_samples_per_second": 103.921,
"eval_steps_per_second": 13.094,
"step": 3073
},
{
"epoch": 9.0,
"step": 3073
},
{
"epoch": 9.08,
"learning_rate": 0.0001,
"loss": 0.4538,
"step": 3100
},
{
"epoch": 9.37,
"learning_rate": 0.0001,
"loss": 0.3609,
"step": 3200
},
{
"epoch": 9.66,
"learning_rate": 0.0001,
"loss": 0.3769,
"step": 3300
},
{
"epoch": 9.96,
"learning_rate": 0.0001,
"loss": 0.387,
"step": 3400
},
{
"epoch": 10.0,
"eval_accuracy": 0.4463076923076923,
"eval_loss": 4.413115978240967,
"eval_runtime": 4.2874,
"eval_samples_per_second": 116.62,
"eval_steps_per_second": 14.694,
"step": 3415
},
{
"epoch": 10.0,
"step": 3415
},
{
"epoch": 10.25,
"learning_rate": 0.0001,
"loss": 0.2911,
"step": 3500
},
{
"epoch": 10.54,
"learning_rate": 0.0001,
"loss": 0.2881,
"step": 3600
},
{
"epoch": 10.83,
"learning_rate": 0.0001,
"loss": 0.2933,
"step": 3700
},
{
"epoch": 11.0,
"eval_accuracy": 0.44343589743589745,
"eval_loss": 4.490556716918945,
"eval_runtime": 4.2824,
"eval_samples_per_second": 116.757,
"eval_steps_per_second": 14.711,
"step": 3756
},
{
"epoch": 11.0,
"step": 3756
},
{
"epoch": 11.13,
"learning_rate": 0.0001,
"loss": 0.2653,
"step": 3800
},
{
"epoch": 11.42,
"learning_rate": 0.0001,
"loss": 0.2181,
"step": 3900
},
{
"epoch": 11.71,
"learning_rate": 0.0001,
"loss": 0.2344,
"step": 4000
},
{
"epoch": 12.0,
"eval_accuracy": 0.44251282051282054,
"eval_loss": 4.651719570159912,
"eval_runtime": 4.0941,
"eval_samples_per_second": 122.126,
"eval_steps_per_second": 15.388,
"step": 4098
},
{
"epoch": 12.0,
"step": 4098
},
{
"epoch": 12.01,
"learning_rate": 0.0001,
"loss": 0.2414,
"step": 4100
},
{
"epoch": 12.3,
"learning_rate": 0.0001,
"loss": 0.173,
"step": 4200
},
{
"epoch": 12.59,
"learning_rate": 0.0001,
"loss": 0.183,
"step": 4300
},
{
"epoch": 12.88,
"learning_rate": 0.0001,
"loss": 0.1919,
"step": 4400
},
{
"epoch": 13.0,
"eval_accuracy": 0.44076923076923075,
"eval_loss": 4.751525402069092,
"eval_runtime": 4.0902,
"eval_samples_per_second": 122.244,
"eval_steps_per_second": 15.403,
"step": 4439
},
{
"epoch": 13.0,
"step": 4439
},
{
"epoch": 13.18,
"learning_rate": 0.0001,
"loss": 0.1661,
"step": 4500
},
{
"epoch": 13.47,
"learning_rate": 0.0001,
"loss": 0.1501,
"step": 4600
},
{
"epoch": 13.76,
"learning_rate": 0.0001,
"loss": 0.1581,
"step": 4700
},
{
"epoch": 14.0,
"eval_accuracy": 0.442051282051282,
"eval_loss": 4.7323455810546875,
"eval_runtime": 4.8128,
"eval_samples_per_second": 103.89,
"eval_steps_per_second": 13.09,
"step": 4781
},
{
"epoch": 14.0,
"eval_bleu": 0.01991302915032707,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.0,
"step": 4781
},
{
"epoch": 14.06,
"learning_rate": 0.0001,
"loss": 0.1563,
"step": 4800
},
{
"epoch": 14.35,
"learning_rate": 0.0001,
"loss": 0.13,
"step": 4900
},
{
"epoch": 14.64,
"learning_rate": 0.0001,
"loss": 0.1388,
"step": 5000
},
{
"epoch": 14.93,
"learning_rate": 0.0001,
"loss": 0.1429,
"step": 5100
},
{
"epoch": 15.0,
"eval_accuracy": 0.44066666666666665,
"eval_loss": 4.810059547424316,
"eval_runtime": 5.0086,
"eval_samples_per_second": 99.829,
"eval_steps_per_second": 12.578,
"step": 5122
},
{
"epoch": 15.0,
"eval_bleu": 0.007355658423274405,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.002,
"step": 5122
},
{
"epoch": 15.23,
"learning_rate": 0.0001,
"loss": 0.1228,
"step": 5200
},
{
"epoch": 15.52,
"learning_rate": 0.0001,
"loss": 0.1233,
"step": 5300
},
{
"epoch": 15.81,
"learning_rate": 0.0001,
"loss": 0.1279,
"step": 5400
},
{
"epoch": 16.0,
"eval_accuracy": 0.44061538461538463,
"eval_loss": 4.84822940826416,
"eval_runtime": 4.1962,
"eval_samples_per_second": 119.156,
"eval_steps_per_second": 15.014,
"step": 5464
},
{
"epoch": 16.0,
"eval_bleu": 0.020518239891916933,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.0,
"step": 5464
},
{
"epoch": 16.11,
"learning_rate": 0.0001,
"loss": 0.1248,
"step": 5500
},
{
"epoch": 16.4,
"learning_rate": 0.0001,
"loss": 0.1118,
"step": 5600
},
{
"epoch": 16.69,
"learning_rate": 0.0001,
"loss": 0.1172,
"step": 5700
},
{
"epoch": 16.98,
"learning_rate": 0.0001,
"loss": 0.1231,
"step": 5800
},
{
"epoch": 17.0,
"eval_accuracy": 0.4410769230769231,
"eval_loss": 4.973475933074951,
"eval_runtime": 4.4042,
"eval_samples_per_second": 113.529,
"eval_steps_per_second": 14.305,
"step": 5805
},
{
"epoch": 17.0,
"eval_bleu": 0.025070041424787165,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.0,
"step": 5805
},
{
"epoch": 17.28,
"learning_rate": 0.0001,
"loss": 0.1068,
"step": 5900
},
{
"epoch": 17.57,
"learning_rate": 0.0001,
"loss": 0.111,
"step": 6000
},
{
"epoch": 17.86,
"learning_rate": 0.0001,
"loss": 0.1145,
"step": 6100
},
{
"epoch": 18.0,
"eval_accuracy": 0.44153846153846155,
"eval_loss": 5.012055397033691,
"eval_runtime": 4.1955,
"eval_samples_per_second": 119.174,
"eval_steps_per_second": 15.016,
"step": 6147
},
{
"epoch": 18.0,
"eval_bleu": 0.0018720973379033757,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.0,
"step": 6147
},
{
"epoch": 18.16,
"learning_rate": 0.0001,
"loss": 0.1093,
"step": 6200
},
{
"epoch": 18.45,
"learning_rate": 0.0001,
"loss": 0.1051,
"step": 6300
},
{
"epoch": 18.74,
"learning_rate": 0.0001,
"loss": 0.1087,
"step": 6400
},
{
"epoch": 19.0,
"eval_accuracy": 0.43943589743589745,
"eval_loss": 4.983563423156738,
"eval_runtime": 4.0932,
"eval_samples_per_second": 122.154,
"eval_steps_per_second": 15.391,
"step": 6488
},
{
"epoch": 19.0,
"eval_bleu": 0.0014273377715875865,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.0,
"step": 6488
},
{
"epoch": 19.03,
"learning_rate": 0.0001,
"loss": 0.1115,
"step": 6500
},
{
"epoch": 19.33,
"learning_rate": 0.0001,
"loss": 0.1001,
"step": 6600
},
{
"epoch": 19.62,
"learning_rate": 0.0001,
"loss": 0.1049,
"step": 6700
},
{
"epoch": 19.91,
"learning_rate": 0.0001,
"loss": 0.1084,
"step": 6800
},
{
"epoch": 20.0,
"eval_accuracy": 0.4388205128205128,
"eval_loss": 5.117064952850342,
"eval_runtime": 4.0908,
"eval_samples_per_second": 122.227,
"eval_steps_per_second": 15.401,
"step": 6830
},
{
"epoch": 20.0,
"eval_bleu": 0.004914730802266865,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.0,
"step": 6830
},
{
"epoch": 20.2,
"learning_rate": 0.0001,
"loss": 0.102,
"step": 6900
},
{
"epoch": 20.5,
"learning_rate": 0.0001,
"loss": 0.1014,
"step": 7000
},
{
"epoch": 20.79,
"learning_rate": 0.0001,
"loss": 0.1069,
"step": 7100
},
{
"epoch": 21.0,
"eval_accuracy": 0.44051282051282054,
"eval_loss": 5.011991500854492,
"eval_runtime": 4.1961,
"eval_samples_per_second": 119.159,
"eval_steps_per_second": 15.014,
"step": 7171
},
{
"epoch": 21.0,
"step": 7171
},
{
"epoch": 21.08,
"learning_rate": 0.0001,
"loss": 0.1075,
"step": 7200
},
{
"epoch": 21.38,
"learning_rate": 0.0001,
"loss": 0.0985,
"step": 7300
},
{
"epoch": 21.67,
"learning_rate": 0.0001,
"loss": 0.1032,
"step": 7400
},
{
"epoch": 21.96,
"learning_rate": 0.0001,
"loss": 0.1075,
"step": 7500
},
{
"epoch": 22.0,
"eval_accuracy": 0.44,
"eval_loss": 5.234306812286377,
"eval_runtime": 4.4185,
"eval_samples_per_second": 113.162,
"eval_steps_per_second": 14.258,
"step": 7513
},
{
"epoch": 22.0,
"step": 7513
},
{
"epoch": 22.25,
"learning_rate": 0.0001,
"loss": 0.0959,
"step": 7600
},
{
"epoch": 22.55,
"learning_rate": 0.0001,
"loss": 0.0998,
"step": 7700
},
{
"epoch": 22.84,
"learning_rate": 0.0001,
"loss": 0.1024,
"step": 7800
},
{
"epoch": 23.0,
"eval_accuracy": 0.4408717948717949,
"eval_loss": 5.150094985961914,
"eval_runtime": 4.2006,
"eval_samples_per_second": 119.032,
"eval_steps_per_second": 14.998,
"step": 7854
},
{
"epoch": 23.0,
"eval_bleu": 0.008507706871345696,
"eval_exact_match": 0.0,
"eval_prefix_exact_match": 0.002,
"step": 7854
},
{
"epoch": 23.13,
"learning_rate": 0.0001,
"loss": 0.0997,
"step": 7900
},
{
"epoch": 23.43,
"learning_rate": 0.0001,
"loss": 0.0946,
"step": 8000
},
{
"epoch": 23.72,
"learning_rate": 0.0001,
"loss": 0.0981,
"step": 8100
},
{
"epoch": 24.0,
"eval_accuracy": 0.44025641025641027,
"eval_loss": 5.080117225646973,
"eval_runtime": 4.1942,
"eval_samples_per_second": 119.212,
"eval_steps_per_second": 15.021,
"step": 8196
},
{
"epoch": 24.0,
"step": 8196
},
{
"epoch": 24.01,
"learning_rate": 0.0001,
"loss": 0.101,
"step": 8200
},
{
"epoch": 24.3,
"learning_rate": 0.0001,
"loss": 0.0923,
"step": 8300
},
{
"epoch": 24.6,
"learning_rate": 0.0001,
"loss": 0.095,
"step": 8400
},
{
"epoch": 24.89,
"learning_rate": 0.0001,
"loss": 0.097,
"step": 8500
},
{
"epoch": 25.0,
"eval_accuracy": 0.44158974358974357,
"eval_loss": 5.103724956512451,
"eval_runtime": 4.307,
"eval_samples_per_second": 116.09,
"eval_steps_per_second": 14.627,
"step": 8537
},
{
"epoch": 25.0,
"step": 8537
},
{
"epoch": 25.18,
"learning_rate": 0.0001,
"loss": 0.0925,
"step": 8600
},
{
"epoch": 25.48,
"learning_rate": 0.0001,
"loss": 0.0926,
"step": 8700
},
{
"epoch": 25.77,
"learning_rate": 0.0001,
"loss": 0.0963,
"step": 8800
},
{
"epoch": 26.0,
"eval_accuracy": 0.4397948717948718,
"eval_loss": 5.206360340118408,
"eval_runtime": 4.8198,
"eval_samples_per_second": 103.739,
"eval_steps_per_second": 13.071,
"step": 8879
},
{
"epoch": 26.0,
"step": 8879
}
],
"logging_steps": 100,
"max_steps": 17050,
"num_train_epochs": 50,
"save_steps": 500,
"total_flos": 1.7581104829814538e+18,
"trial_name": null,
"trial_params": null
}