smolm-autoreg-bpe-seed_222 / trainer_state.json
kanishka's picture
End of training
19c2444 verified
{
"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": 1.12882661819458,
"learning_rate": 6.25e-05,
"loss": 6.1655,
"step": 500
},
{
"epoch": 0.34,
"grad_norm": 0.9656639099121094,
"learning_rate": 0.000125,
"loss": 3.6235,
"step": 1000
},
{
"epoch": 0.51,
"grad_norm": 0.9288356304168701,
"learning_rate": 0.0001875,
"loss": 3.3342,
"step": 1500
},
{
"epoch": 0.68,
"grad_norm": 0.94553542137146,
"learning_rate": 0.00025,
"loss": 3.1718,
"step": 2000
},
{
"epoch": 0.85,
"grad_norm": 0.9111424088478088,
"learning_rate": 0.0003125,
"loss": 3.0482,
"step": 2500
},
{
"epoch": 1.0,
"eval_accuracy": 0.4382991705195167,
"eval_loss": 3.0123326778411865,
"eval_runtime": 3.3766,
"eval_samples_per_second": 1330.021,
"eval_steps_per_second": 10.661,
"step": 2928
},
{
"epoch": 1.02,
"grad_norm": 0.8901249170303345,
"learning_rate": 0.000375,
"loss": 2.9639,
"step": 3000
},
{
"epoch": 1.2,
"grad_norm": 0.9494138956069946,
"learning_rate": 0.00043750000000000006,
"loss": 2.8729,
"step": 3500
},
{
"epoch": 1.37,
"grad_norm": 0.9213692545890808,
"learning_rate": 0.0005,
"loss": 2.8189,
"step": 4000
},
{
"epoch": 1.54,
"grad_norm": 0.8084624409675598,
"learning_rate": 0.0005625000000000001,
"loss": 2.7781,
"step": 4500
},
{
"epoch": 1.71,
"grad_norm": 0.8010088205337524,
"learning_rate": 0.000625,
"loss": 2.7388,
"step": 5000
},
{
"epoch": 1.88,
"grad_norm": 0.8517431616783142,
"learning_rate": 0.0006875,
"loss": 2.72,
"step": 5500
},
{
"epoch": 2.0,
"eval_accuracy": 0.46022754169756835,
"eval_loss": 2.782708168029785,
"eval_runtime": 3.4325,
"eval_samples_per_second": 1308.36,
"eval_steps_per_second": 10.488,
"step": 5856
},
{
"epoch": 2.05,
"grad_norm": 0.8044182658195496,
"learning_rate": 0.00075,
"loss": 2.6633,
"step": 6000
},
{
"epoch": 2.22,
"grad_norm": 0.7476066946983337,
"learning_rate": 0.0008125,
"loss": 2.6251,
"step": 6500
},
{
"epoch": 2.39,
"grad_norm": 0.7374809384346008,
"learning_rate": 0.0008750000000000001,
"loss": 2.6048,
"step": 7000
},
{
"epoch": 2.56,
"grad_norm": 0.728888750076294,
"learning_rate": 0.0009375,
"loss": 2.5947,
"step": 7500
},
{
"epoch": 2.73,
"grad_norm": 0.6759493350982666,
"learning_rate": 0.001,
"loss": 2.6049,
"step": 8000
},
{
"epoch": 2.9,
"grad_norm": 0.6459181904792786,
"learning_rate": 0.0010625,
"loss": 2.5878,
"step": 8500
},
{
"epoch": 3.0,
"eval_accuracy": 0.469314832639908,
"eval_loss": 2.6918864250183105,
"eval_runtime": 3.4397,
"eval_samples_per_second": 1305.64,
"eval_steps_per_second": 10.466,
"step": 8784
},
{
"epoch": 3.07,
"grad_norm": 0.601531445980072,
"learning_rate": 0.0011250000000000001,
"loss": 2.5422,
"step": 9000
},
{
"epoch": 3.24,
"grad_norm": 0.586744487285614,
"learning_rate": 0.0011875,
"loss": 2.5161,
"step": 9500
},
{
"epoch": 3.42,
"grad_norm": 0.5889135599136353,
"learning_rate": 0.00125,
"loss": 2.518,
"step": 10000
},
{
"epoch": 3.59,
"grad_norm": 0.5179043412208557,
"learning_rate": 0.0013125,
"loss": 2.5173,
"step": 10500
},
{
"epoch": 3.76,
"grad_norm": 0.48668384552001953,
"learning_rate": 0.001375,
"loss": 2.5081,
"step": 11000
},
{
"epoch": 3.93,
"grad_norm": 0.46291133761405945,
"learning_rate": 0.0014375000000000002,
"loss": 2.5096,
"step": 11500
},
{
"epoch": 4.0,
"eval_accuracy": 0.4774921671865165,
"eval_loss": 2.63217830657959,
"eval_runtime": 3.4241,
"eval_samples_per_second": 1311.585,
"eval_steps_per_second": 10.514,
"step": 11712
},
{
"epoch": 4.1,
"grad_norm": 0.47367745637893677,
"learning_rate": 0.0015,
"loss": 2.4578,
"step": 12000
},
{
"epoch": 4.27,
"grad_norm": 0.5070286393165588,
"learning_rate": 0.0015625,
"loss": 2.4408,
"step": 12500
},
{
"epoch": 4.44,
"grad_norm": 0.43498894572257996,
"learning_rate": 0.001625,
"loss": 2.4561,
"step": 13000
},
{
"epoch": 4.61,
"grad_norm": 0.4298257529735565,
"learning_rate": 0.0016875,
"loss": 2.463,
"step": 13500
},
{
"epoch": 4.78,
"grad_norm": 0.39968445897102356,
"learning_rate": 0.0017500000000000003,
"loss": 2.4608,
"step": 14000
},
{
"epoch": 4.95,
"grad_norm": 0.41952285170555115,
"learning_rate": 0.0018124999999999999,
"loss": 2.4696,
"step": 14500
},
{
"epoch": 5.0,
"eval_accuracy": 0.48033424679630476,
"eval_loss": 2.6079657077789307,
"eval_runtime": 3.4168,
"eval_samples_per_second": 1314.37,
"eval_steps_per_second": 10.536,
"step": 14640
},
{
"epoch": 5.12,
"grad_norm": 0.3715464770793915,
"learning_rate": 0.001875,
"loss": 2.3974,
"step": 15000
},
{
"epoch": 5.29,
"grad_norm": 0.4010851979255676,
"learning_rate": 0.0019375000000000002,
"loss": 2.3902,
"step": 15500
},
{
"epoch": 5.46,
"grad_norm": 0.4189828634262085,
"learning_rate": 0.002,
"loss": 2.4066,
"step": 16000
},
{
"epoch": 5.64,
"grad_norm": 0.3794609308242798,
"learning_rate": 0.0020625,
"loss": 2.4223,
"step": 16500
},
{
"epoch": 5.81,
"grad_norm": 0.3260567784309387,
"learning_rate": 0.002125,
"loss": 2.4273,
"step": 17000
},
{
"epoch": 5.98,
"grad_norm": 0.3328179717063904,
"learning_rate": 0.0021874999999999998,
"loss": 2.4356,
"step": 17500
},
{
"epoch": 6.0,
"eval_accuracy": 0.4817894757143333,
"eval_loss": 2.5834248065948486,
"eval_runtime": 3.4191,
"eval_samples_per_second": 1313.516,
"eval_steps_per_second": 10.529,
"step": 17568
},
{
"epoch": 6.15,
"grad_norm": 0.3008418083190918,
"learning_rate": 0.0022500000000000003,
"loss": 2.3574,
"step": 18000
},
{
"epoch": 6.32,
"grad_norm": 0.3263770639896393,
"learning_rate": 0.0023125000000000003,
"loss": 2.365,
"step": 18500
},
{
"epoch": 6.49,
"grad_norm": 0.3040842115879059,
"learning_rate": 0.002375,
"loss": 2.3788,
"step": 19000
},
{
"epoch": 6.66,
"grad_norm": 0.3506632149219513,
"learning_rate": 0.0024375,
"loss": 2.3833,
"step": 19500
},
{
"epoch": 6.83,
"grad_norm": 0.34952595829963684,
"learning_rate": 0.0025,
"loss": 2.386,
"step": 20000
},
{
"epoch": 7.0,
"eval_accuracy": 0.4853819625252254,
"eval_loss": 2.5648064613342285,
"eval_runtime": 3.4161,
"eval_samples_per_second": 1314.649,
"eval_steps_per_second": 10.538,
"step": 20496
},
{
"epoch": 7.0,
"grad_norm": 0.353624165058136,
"learning_rate": 0.0025625,
"loss": 2.3941,
"step": 20500
},
{
"epoch": 7.17,
"grad_norm": 0.36951765418052673,
"learning_rate": 0.002625,
"loss": 2.3144,
"step": 21000
},
{
"epoch": 7.34,
"grad_norm": 0.34771400690078735,
"learning_rate": 0.0026875000000000002,
"loss": 2.3379,
"step": 21500
},
{
"epoch": 7.51,
"grad_norm": 0.32248654961586,
"learning_rate": 0.00275,
"loss": 2.3457,
"step": 22000
},
{
"epoch": 7.68,
"grad_norm": 0.3408921957015991,
"learning_rate": 0.0028125,
"loss": 2.3511,
"step": 22500
},
{
"epoch": 7.86,
"grad_norm": 0.34288591146469116,
"learning_rate": 0.0028750000000000004,
"loss": 2.3579,
"step": 23000
},
{
"epoch": 8.0,
"eval_accuracy": 0.48610782369638667,
"eval_loss": 2.5603365898132324,
"eval_runtime": 3.3768,
"eval_samples_per_second": 1329.97,
"eval_steps_per_second": 10.661,
"step": 23424
},
{
"epoch": 8.03,
"grad_norm": 0.3494857847690582,
"learning_rate": 0.0029375,
"loss": 2.3583,
"step": 23500
},
{
"epoch": 8.2,
"grad_norm": 0.2930866777896881,
"learning_rate": 0.003,
"loss": 2.2877,
"step": 24000
},
{
"epoch": 8.37,
"grad_norm": 0.3050256669521332,
"learning_rate": 0.002715909090909091,
"loss": 2.3009,
"step": 24500
},
{
"epoch": 8.54,
"grad_norm": 0.30324727296829224,
"learning_rate": 0.0024318181818181817,
"loss": 2.3073,
"step": 25000
},
{
"epoch": 8.71,
"grad_norm": 0.36902040243148804,
"learning_rate": 0.002147727272727273,
"loss": 2.296,
"step": 25500
},
{
"epoch": 8.88,
"grad_norm": 0.2886076867580414,
"learning_rate": 0.0018636363636363638,
"loss": 2.2817,
"step": 26000
},
{
"epoch": 9.0,
"eval_accuracy": 0.49435178318141093,
"eval_loss": 2.5002617835998535,
"eval_runtime": 3.3753,
"eval_samples_per_second": 1330.555,
"eval_steps_per_second": 10.666,
"step": 26352
},
{
"epoch": 9.05,
"grad_norm": 0.3240475356578827,
"learning_rate": 0.0015795454545454546,
"loss": 2.2527,
"step": 26500
},
{
"epoch": 9.22,
"grad_norm": 0.3238734304904938,
"learning_rate": 0.0012954545454545456,
"loss": 2.1689,
"step": 27000
},
{
"epoch": 9.39,
"grad_norm": 0.3348115086555481,
"learning_rate": 0.0010113636363636364,
"loss": 2.1655,
"step": 27500
},
{
"epoch": 9.56,
"grad_norm": 0.3114456534385681,
"learning_rate": 0.0007272727272727273,
"loss": 2.1548,
"step": 28000
},
{
"epoch": 9.73,
"grad_norm": 0.34318503737449646,
"learning_rate": 0.0004431818181818182,
"loss": 2.1447,
"step": 28500
},
{
"epoch": 9.9,
"grad_norm": 0.2760942578315735,
"learning_rate": 0.0001590909090909091,
"loss": 2.1431,
"step": 29000
},
{
"epoch": 10.0,
"eval_accuracy": 0.5001937383077616,
"eval_loss": 2.473005771636963,
"eval_runtime": 3.375,
"eval_samples_per_second": 1330.654,
"eval_steps_per_second": 10.667,
"step": 29280
},
{
"epoch": 10.0,
"step": 29280,
"total_flos": 2273237316403200.0,
"train_loss": 2.5663982599810824,
"train_runtime": 749.553,
"train_samples_per_second": 624.972,
"train_steps_per_second": 39.063
}
],
"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
}