tyzhu's picture
Training in progress, epoch 32, checkpoint
f383b15 verified
raw
history blame
20.5 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 32.0,
"eval_steps": 500,
"global_step": 8000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.4,
"learning_rate": 5e-05,
"loss": 2.1914,
"step": 100
},
{
"epoch": 0.8,
"learning_rate": 5e-05,
"loss": 1.798,
"step": 200
},
{
"epoch": 1.0,
"eval_accuracy": 0.6067341772151899,
"eval_loss": 1.8213441371917725,
"eval_runtime": 4.8116,
"eval_samples_per_second": 103.916,
"eval_steps_per_second": 13.093,
"step": 250
},
{
"epoch": 1.0,
"eval_exact_match": 25.4,
"eval_f1": 35.50992875545509,
"step": 250
},
{
"epoch": 1.2,
"learning_rate": 5e-05,
"loss": 1.7534,
"step": 300
},
{
"epoch": 1.6,
"learning_rate": 5e-05,
"loss": 1.7163,
"step": 400
},
{
"epoch": 2.0,
"learning_rate": 5e-05,
"loss": 1.7,
"step": 500
},
{
"epoch": 2.0,
"eval_accuracy": 0.6077215189873417,
"eval_loss": 1.8046445846557617,
"eval_runtime": 5.1228,
"eval_samples_per_second": 97.603,
"eval_steps_per_second": 12.298,
"step": 500
},
{
"epoch": 2.0,
"eval_exact_match": 25.8,
"eval_f1": 35.76454372424963,
"step": 500
},
{
"epoch": 2.4,
"learning_rate": 5e-05,
"loss": 1.5854,
"step": 600
},
{
"epoch": 2.8,
"learning_rate": 5e-05,
"loss": 1.5869,
"step": 700
},
{
"epoch": 3.0,
"eval_accuracy": 0.6071392405063291,
"eval_loss": 1.829284906387329,
"eval_runtime": 4.5692,
"eval_samples_per_second": 109.429,
"eval_steps_per_second": 13.788,
"step": 750
},
{
"epoch": 3.0,
"eval_exact_match": 24.4,
"eval_f1": 34.46831890331891,
"step": 750
},
{
"epoch": 3.2,
"learning_rate": 5e-05,
"loss": 1.5039,
"step": 800
},
{
"epoch": 3.6,
"learning_rate": 5e-05,
"loss": 1.4165,
"step": 900
},
{
"epoch": 4.0,
"learning_rate": 5e-05,
"loss": 1.4349,
"step": 1000
},
{
"epoch": 4.0,
"eval_accuracy": 0.6042784810126582,
"eval_loss": 1.89736008644104,
"eval_runtime": 4.5698,
"eval_samples_per_second": 109.415,
"eval_steps_per_second": 13.786,
"step": 1000
},
{
"epoch": 4.0,
"eval_exact_match": 22.8,
"eval_f1": 32.991320346320364,
"step": 1000
},
{
"epoch": 4.4,
"learning_rate": 5e-05,
"loss": 1.2624,
"step": 1100
},
{
"epoch": 4.8,
"learning_rate": 5e-05,
"loss": 1.3111,
"step": 1200
},
{
"epoch": 5.0,
"eval_accuracy": 0.601493670886076,
"eval_loss": 1.9769378900527954,
"eval_runtime": 4.7168,
"eval_samples_per_second": 106.005,
"eval_steps_per_second": 13.357,
"step": 1250
},
{
"epoch": 5.0,
"eval_exact_match": 22.6,
"eval_f1": 32.46891774891776,
"step": 1250
},
{
"epoch": 5.2,
"learning_rate": 5e-05,
"loss": 1.226,
"step": 1300
},
{
"epoch": 5.6,
"learning_rate": 5e-05,
"loss": 1.1608,
"step": 1400
},
{
"epoch": 6.0,
"learning_rate": 5e-05,
"loss": 1.197,
"step": 1500
},
{
"epoch": 6.0,
"eval_accuracy": 0.599240506329114,
"eval_loss": 2.0634872913360596,
"eval_runtime": 4.4047,
"eval_samples_per_second": 113.515,
"eval_steps_per_second": 14.303,
"step": 1500
},
{
"epoch": 6.0,
"eval_exact_match": 21.4,
"eval_f1": 29.995800865800874,
"step": 1500
},
{
"epoch": 6.4,
"learning_rate": 5e-05,
"loss": 1.0336,
"step": 1600
},
{
"epoch": 6.8,
"learning_rate": 5e-05,
"loss": 1.0729,
"step": 1700
},
{
"epoch": 7.0,
"eval_accuracy": 0.5975443037974684,
"eval_loss": 2.1523237228393555,
"eval_runtime": 4.4025,
"eval_samples_per_second": 113.571,
"eval_steps_per_second": 14.31,
"step": 1750
},
{
"epoch": 7.0,
"eval_exact_match": 20.8,
"eval_f1": 29.054994058229354,
"step": 1750
},
{
"epoch": 7.2,
"learning_rate": 5e-05,
"loss": 1.0005,
"step": 1800
},
{
"epoch": 7.6,
"learning_rate": 5e-05,
"loss": 0.9437,
"step": 1900
},
{
"epoch": 8.0,
"learning_rate": 5e-05,
"loss": 0.9833,
"step": 2000
},
{
"epoch": 8.0,
"eval_accuracy": 0.5947341772151898,
"eval_loss": 2.2639756202697754,
"eval_runtime": 4.7031,
"eval_samples_per_second": 106.312,
"eval_steps_per_second": 13.395,
"step": 2000
},
{
"epoch": 8.0,
"eval_exact_match": 20.8,
"eval_f1": 28.71228732052262,
"step": 2000
},
{
"epoch": 8.4,
"learning_rate": 5e-05,
"loss": 0.823,
"step": 2100
},
{
"epoch": 8.8,
"learning_rate": 5e-05,
"loss": 0.8672,
"step": 2200
},
{
"epoch": 9.0,
"eval_accuracy": 0.5924050632911393,
"eval_loss": 2.3642578125,
"eval_runtime": 4.4051,
"eval_samples_per_second": 113.505,
"eval_steps_per_second": 14.302,
"step": 2250
},
{
"epoch": 9.0,
"eval_exact_match": 22.4,
"eval_f1": 30.14020120686362,
"step": 2250
},
{
"epoch": 9.2,
"learning_rate": 5e-05,
"loss": 0.8032,
"step": 2300
},
{
"epoch": 9.6,
"learning_rate": 5e-05,
"loss": 0.7566,
"step": 2400
},
{
"epoch": 10.0,
"learning_rate": 5e-05,
"loss": 0.7883,
"step": 2500
},
{
"epoch": 10.0,
"eval_accuracy": 0.5908101265822785,
"eval_loss": 2.4598007202148438,
"eval_runtime": 4.5544,
"eval_samples_per_second": 109.783,
"eval_steps_per_second": 13.833,
"step": 2500
},
{
"epoch": 10.0,
"eval_exact_match": 21.4,
"eval_f1": 29.271013039248334,
"step": 2500
},
{
"epoch": 10.4,
"learning_rate": 5e-05,
"loss": 0.6488,
"step": 2600
},
{
"epoch": 10.8,
"learning_rate": 5e-05,
"loss": 0.6879,
"step": 2700
},
{
"epoch": 11.0,
"eval_accuracy": 0.588987341772152,
"eval_loss": 2.5668857097625732,
"eval_runtime": 4.6769,
"eval_samples_per_second": 106.908,
"eval_steps_per_second": 13.47,
"step": 2750
},
{
"epoch": 11.0,
"eval_exact_match": 20.2,
"eval_f1": 29.08202869026399,
"step": 2750
},
{
"epoch": 11.2,
"learning_rate": 5e-05,
"loss": 0.6502,
"step": 2800
},
{
"epoch": 11.6,
"learning_rate": 5e-05,
"loss": 0.602,
"step": 2900
},
{
"epoch": 12.0,
"learning_rate": 5e-05,
"loss": 0.6295,
"step": 3000
},
{
"epoch": 12.0,
"eval_accuracy": 0.5885316455696202,
"eval_loss": 2.700011730194092,
"eval_runtime": 5.1309,
"eval_samples_per_second": 97.45,
"eval_steps_per_second": 12.279,
"step": 3000
},
{
"epoch": 12.0,
"eval_exact_match": 19.6,
"eval_f1": 27.678461864932462,
"step": 3000
},
{
"epoch": 12.4,
"learning_rate": 5e-05,
"loss": 0.5228,
"step": 3100
},
{
"epoch": 12.8,
"learning_rate": 5e-05,
"loss": 0.5545,
"step": 3200
},
{
"epoch": 13.0,
"eval_accuracy": 0.5850886075949367,
"eval_loss": 2.8281185626983643,
"eval_runtime": 4.5558,
"eval_samples_per_second": 109.749,
"eval_steps_per_second": 13.828,
"step": 3250
},
{
"epoch": 13.0,
"eval_exact_match": 20.0,
"eval_f1": 28.273127941889552,
"step": 3250
},
{
"epoch": 13.2,
"learning_rate": 5e-05,
"loss": 0.5244,
"step": 3300
},
{
"epoch": 13.6,
"learning_rate": 5e-05,
"loss": 0.4924,
"step": 3400
},
{
"epoch": 14.0,
"learning_rate": 5e-05,
"loss": 0.5208,
"step": 3500
},
{
"epoch": 14.0,
"eval_accuracy": 0.5852911392405064,
"eval_loss": 2.879397392272949,
"eval_runtime": 5.1301,
"eval_samples_per_second": 97.464,
"eval_steps_per_second": 12.28,
"step": 3500
},
{
"epoch": 14.0,
"eval_exact_match": 20.2,
"eval_f1": 28.16958851605911,
"step": 3500
},
{
"epoch": 14.4,
"learning_rate": 5e-05,
"loss": 0.4405,
"step": 3600
},
{
"epoch": 14.8,
"learning_rate": 5e-05,
"loss": 0.4679,
"step": 3700
},
{
"epoch": 15.0,
"eval_accuracy": 0.586253164556962,
"eval_loss": 2.9183950424194336,
"eval_runtime": 4.8449,
"eval_samples_per_second": 103.201,
"eval_steps_per_second": 13.003,
"step": 3750
},
{
"epoch": 15.0,
"eval_exact_match": 19.8,
"eval_f1": 27.632893381128678,
"step": 3750
},
{
"epoch": 15.2,
"learning_rate": 5e-05,
"loss": 0.4443,
"step": 3800
},
{
"epoch": 15.6,
"learning_rate": 5e-05,
"loss": 0.4235,
"step": 3900
},
{
"epoch": 16.0,
"learning_rate": 5e-05,
"loss": 0.4464,
"step": 4000
},
{
"epoch": 16.0,
"eval_accuracy": 0.5852151898734177,
"eval_loss": 3.0790698528289795,
"eval_runtime": 4.7018,
"eval_samples_per_second": 106.343,
"eval_steps_per_second": 13.399,
"step": 4000
},
{
"epoch": 16.0,
"eval_exact_match": 21.0,
"eval_f1": 29.560525356995953,
"step": 4000
},
{
"epoch": 16.4,
"learning_rate": 5e-05,
"loss": 0.3919,
"step": 4100
},
{
"epoch": 16.8,
"learning_rate": 5e-05,
"loss": 0.4136,
"step": 4200
},
{
"epoch": 17.0,
"eval_accuracy": 0.5855696202531645,
"eval_loss": 3.0832109451293945,
"eval_runtime": 4.7575,
"eval_samples_per_second": 105.096,
"eval_steps_per_second": 13.242,
"step": 4250
},
{
"epoch": 17.0,
"eval_exact_match": 20.4,
"eval_f1": 28.69772782772784,
"step": 4250
},
{
"epoch": 17.2,
"learning_rate": 5e-05,
"loss": 0.3902,
"step": 4300
},
{
"epoch": 17.6,
"learning_rate": 5e-05,
"loss": 0.3841,
"step": 4400
},
{
"epoch": 18.0,
"learning_rate": 5e-05,
"loss": 0.4021,
"step": 4500
},
{
"epoch": 18.0,
"eval_accuracy": 0.5846835443037974,
"eval_loss": 3.0944228172302246,
"eval_runtime": 4.7087,
"eval_samples_per_second": 106.186,
"eval_steps_per_second": 13.379,
"step": 4500
},
{
"epoch": 18.0,
"eval_exact_match": 20.0,
"eval_f1": 28.558940281940288,
"step": 4500
},
{
"epoch": 18.4,
"learning_rate": 5e-05,
"loss": 0.3577,
"step": 4600
},
{
"epoch": 18.8,
"learning_rate": 5e-05,
"loss": 0.3776,
"step": 4700
},
{
"epoch": 19.0,
"eval_accuracy": 0.5828354430379746,
"eval_loss": 3.2120306491851807,
"eval_runtime": 4.5614,
"eval_samples_per_second": 109.616,
"eval_steps_per_second": 13.812,
"step": 4750
},
{
"epoch": 19.0,
"eval_exact_match": 20.2,
"eval_f1": 28.91690789886443,
"step": 4750
},
{
"epoch": 19.2,
"learning_rate": 5e-05,
"loss": 0.3617,
"step": 4800
},
{
"epoch": 19.6,
"learning_rate": 5e-05,
"loss": 0.3575,
"step": 4900
},
{
"epoch": 20.0,
"learning_rate": 5e-05,
"loss": 0.373,
"step": 5000
},
{
"epoch": 20.0,
"eval_accuracy": 0.5839240506329114,
"eval_loss": 3.229841947555542,
"eval_runtime": 4.5542,
"eval_samples_per_second": 109.788,
"eval_steps_per_second": 13.833,
"step": 5000
},
{
"epoch": 20.0,
"eval_exact_match": 20.0,
"eval_f1": 29.50454927425517,
"step": 5000
},
{
"epoch": 20.4,
"learning_rate": 5e-05,
"loss": 0.3333,
"step": 5100
},
{
"epoch": 20.8,
"learning_rate": 5e-05,
"loss": 0.3572,
"step": 5200
},
{
"epoch": 21.0,
"eval_accuracy": 0.584126582278481,
"eval_loss": 3.2433719635009766,
"eval_runtime": 5.128,
"eval_samples_per_second": 97.503,
"eval_steps_per_second": 12.285,
"step": 5250
},
{
"epoch": 21.0,
"eval_exact_match": 20.0,
"eval_f1": 28.610755910755913,
"step": 5250
},
{
"epoch": 21.2,
"learning_rate": 5e-05,
"loss": 0.3415,
"step": 5300
},
{
"epoch": 21.6,
"learning_rate": 5e-05,
"loss": 0.3365,
"step": 5400
},
{
"epoch": 22.0,
"learning_rate": 5e-05,
"loss": 0.3517,
"step": 5500
},
{
"epoch": 22.0,
"eval_accuracy": 0.5846835443037974,
"eval_loss": 3.2606234550476074,
"eval_runtime": 4.5466,
"eval_samples_per_second": 109.971,
"eval_steps_per_second": 13.856,
"step": 5500
},
{
"epoch": 22.0,
"eval_exact_match": 21.2,
"eval_f1": 30.38587926693191,
"step": 5500
},
{
"epoch": 22.4,
"learning_rate": 5e-05,
"loss": 0.3228,
"step": 5600
},
{
"epoch": 22.8,
"learning_rate": 5e-05,
"loss": 0.3374,
"step": 5700
},
{
"epoch": 23.0,
"eval_accuracy": 0.5845063291139241,
"eval_loss": 3.339247465133667,
"eval_runtime": 4.5344,
"eval_samples_per_second": 110.267,
"eval_steps_per_second": 13.894,
"step": 5750
},
{
"epoch": 23.0,
"eval_exact_match": 19.8,
"eval_f1": 28.687225552225563,
"step": 5750
},
{
"epoch": 23.2,
"learning_rate": 5e-05,
"loss": 0.3256,
"step": 5800
},
{
"epoch": 23.6,
"learning_rate": 5e-05,
"loss": 0.3242,
"step": 5900
},
{
"epoch": 24.0,
"learning_rate": 5e-05,
"loss": 0.3338,
"step": 6000
},
{
"epoch": 24.0,
"eval_accuracy": 0.5841012658227848,
"eval_loss": 3.348928689956665,
"eval_runtime": 5.042,
"eval_samples_per_second": 99.167,
"eval_steps_per_second": 12.495,
"step": 6000
},
{
"epoch": 24.0,
"eval_exact_match": 20.2,
"eval_f1": 28.578326118326117,
"step": 6000
},
{
"epoch": 24.4,
"learning_rate": 5e-05,
"loss": 0.3099,
"step": 6100
},
{
"epoch": 24.8,
"learning_rate": 5e-05,
"loss": 0.3286,
"step": 6200
},
{
"epoch": 25.0,
"eval_accuracy": 0.5845822784810126,
"eval_loss": 3.4035861492156982,
"eval_runtime": 5.141,
"eval_samples_per_second": 97.258,
"eval_steps_per_second": 12.255,
"step": 6250
},
{
"epoch": 25.0,
"eval_exact_match": 21.2,
"eval_f1": 29.869212454212466,
"step": 6250
},
{
"epoch": 25.2,
"learning_rate": 5e-05,
"loss": 0.3144,
"step": 6300
},
{
"epoch": 25.6,
"learning_rate": 5e-05,
"loss": 0.3147,
"step": 6400
},
{
"epoch": 26.0,
"learning_rate": 5e-05,
"loss": 0.3259,
"step": 6500
},
{
"epoch": 26.0,
"eval_accuracy": 0.584886075949367,
"eval_loss": 3.3877618312835693,
"eval_runtime": 4.5792,
"eval_samples_per_second": 109.19,
"eval_steps_per_second": 13.758,
"step": 6500
},
{
"epoch": 26.0,
"eval_exact_match": 19.6,
"eval_f1": 28.681592185592194,
"step": 6500
},
{
"epoch": 26.4,
"learning_rate": 5e-05,
"loss": 0.3023,
"step": 6600
},
{
"epoch": 26.8,
"learning_rate": 5e-05,
"loss": 0.3175,
"step": 6700
},
{
"epoch": 27.0,
"eval_accuracy": 0.5852911392405064,
"eval_loss": 3.4960334300994873,
"eval_runtime": 4.5521,
"eval_samples_per_second": 109.838,
"eval_steps_per_second": 13.84,
"step": 6750
},
{
"epoch": 27.0,
"eval_exact_match": 21.0,
"eval_f1": 28.89975690975692,
"step": 6750
},
{
"epoch": 27.2,
"learning_rate": 5e-05,
"loss": 0.3096,
"step": 6800
},
{
"epoch": 27.6,
"learning_rate": 5e-05,
"loss": 0.3048,
"step": 6900
},
{
"epoch": 28.0,
"learning_rate": 5e-05,
"loss": 0.3185,
"step": 7000
},
{
"epoch": 28.0,
"eval_accuracy": 0.5851898734177216,
"eval_loss": 3.487301826477051,
"eval_runtime": 4.5552,
"eval_samples_per_second": 109.764,
"eval_steps_per_second": 13.83,
"step": 7000
},
{
"epoch": 28.0,
"eval_exact_match": 20.4,
"eval_f1": 28.829249639249642,
"step": 7000
},
{
"epoch": 28.4,
"learning_rate": 5e-05,
"loss": 0.296,
"step": 7100
},
{
"epoch": 28.8,
"learning_rate": 5e-05,
"loss": 0.3117,
"step": 7200
},
{
"epoch": 29.0,
"eval_accuracy": 0.5839746835443038,
"eval_loss": 3.4780404567718506,
"eval_runtime": 4.5544,
"eval_samples_per_second": 109.784,
"eval_steps_per_second": 13.833,
"step": 7250
},
{
"epoch": 29.0,
"eval_exact_match": 20.0,
"eval_f1": 27.875814185814193,
"step": 7250
},
{
"epoch": 29.2,
"learning_rate": 5e-05,
"loss": 0.3015,
"step": 7300
},
{
"epoch": 29.6,
"learning_rate": 5e-05,
"loss": 0.3017,
"step": 7400
},
{
"epoch": 30.0,
"learning_rate": 5e-05,
"loss": 0.3125,
"step": 7500
},
{
"epoch": 30.0,
"eval_accuracy": 0.5835696202531646,
"eval_loss": 3.5383405685424805,
"eval_runtime": 4.8879,
"eval_samples_per_second": 102.293,
"eval_steps_per_second": 12.889,
"step": 7500
},
{
"epoch": 30.0,
"eval_exact_match": 19.2,
"eval_f1": 27.704913974913982,
"step": 7500
},
{
"epoch": 30.4,
"learning_rate": 5e-05,
"loss": 0.2933,
"step": 7600
},
{
"epoch": 30.8,
"learning_rate": 5e-05,
"loss": 0.3041,
"step": 7700
},
{
"epoch": 31.0,
"eval_accuracy": 0.5840506329113924,
"eval_loss": 3.525256395339966,
"eval_runtime": 4.6104,
"eval_samples_per_second": 108.45,
"eval_steps_per_second": 13.665,
"step": 7750
},
{
"epoch": 31.0,
"eval_exact_match": 19.8,
"eval_f1": 28.185307265833586,
"step": 7750
},
{
"epoch": 31.2,
"learning_rate": 5e-05,
"loss": 0.2966,
"step": 7800
},
{
"epoch": 31.6,
"learning_rate": 5e-05,
"loss": 0.2984,
"step": 7900
},
{
"epoch": 32.0,
"learning_rate": 5e-05,
"loss": 0.3047,
"step": 8000
},
{
"epoch": 32.0,
"eval_accuracy": 0.5853164556962025,
"eval_loss": 3.528280258178711,
"eval_runtime": 4.7023,
"eval_samples_per_second": 106.332,
"eval_steps_per_second": 13.398,
"step": 8000
},
{
"epoch": 32.0,
"eval_exact_match": 20.2,
"eval_f1": 28.492784992785,
"step": 8000
}
],
"logging_steps": 100,
"max_steps": 12500,
"num_train_epochs": 50,
"save_steps": 500,
"total_flos": 5.115434673069097e+17,
"trial_name": null,
"trial_params": null
}