Nexspear's picture
Training in progress, step 100, checkpoint
b12df2c verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.04877453969028167,
"eval_steps": 9,
"global_step": 100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00048774539690281675,
"eval_loss": 1.048367977142334,
"eval_runtime": 282.0297,
"eval_samples_per_second": 12.243,
"eval_steps_per_second": 1.532,
"step": 1
},
{
"epoch": 0.0014632361907084503,
"grad_norm": 0.37770092487335205,
"learning_rate": 1.5e-05,
"loss": 1.0341,
"step": 3
},
{
"epoch": 0.0029264723814169005,
"grad_norm": 0.4068027436733246,
"learning_rate": 3e-05,
"loss": 1.056,
"step": 6
},
{
"epoch": 0.0043897085721253505,
"grad_norm": 0.5370364189147949,
"learning_rate": 4.5e-05,
"loss": 1.0776,
"step": 9
},
{
"epoch": 0.0043897085721253505,
"eval_loss": 0.9989280104637146,
"eval_runtime": 284.091,
"eval_samples_per_second": 12.155,
"eval_steps_per_second": 1.521,
"step": 9
},
{
"epoch": 0.005852944762833801,
"grad_norm": 0.39467090368270874,
"learning_rate": 4.993910125649561e-05,
"loss": 0.9114,
"step": 12
},
{
"epoch": 0.007316180953542251,
"grad_norm": 0.472395658493042,
"learning_rate": 4.962019382530521e-05,
"loss": 0.8932,
"step": 15
},
{
"epoch": 0.008779417144250701,
"grad_norm": 0.4325377941131592,
"learning_rate": 4.9031542398457974e-05,
"loss": 0.796,
"step": 18
},
{
"epoch": 0.008779417144250701,
"eval_loss": 0.8529807329177856,
"eval_runtime": 284.0503,
"eval_samples_per_second": 12.156,
"eval_steps_per_second": 1.521,
"step": 18
},
{
"epoch": 0.010242653334959152,
"grad_norm": 0.4993043541908264,
"learning_rate": 4.817959636416969e-05,
"loss": 0.8698,
"step": 21
},
{
"epoch": 0.011705889525667602,
"grad_norm": 0.4442359507083893,
"learning_rate": 4.707368982147318e-05,
"loss": 0.6909,
"step": 24
},
{
"epoch": 0.013169125716376053,
"grad_norm": 0.4680705666542053,
"learning_rate": 4.572593931387604e-05,
"loss": 0.8662,
"step": 27
},
{
"epoch": 0.013169125716376053,
"eval_loss": 0.8155685067176819,
"eval_runtime": 284.0968,
"eval_samples_per_second": 12.154,
"eval_steps_per_second": 1.521,
"step": 27
},
{
"epoch": 0.014632361907084501,
"grad_norm": 0.6314910054206848,
"learning_rate": 4.415111107797445e-05,
"loss": 0.7935,
"step": 30
},
{
"epoch": 0.016095598097792953,
"grad_norm": 0.3279048800468445,
"learning_rate": 4.2366459261474933e-05,
"loss": 0.823,
"step": 33
},
{
"epoch": 0.017558834288501402,
"grad_norm": 0.4065856635570526,
"learning_rate": 4.039153688314145e-05,
"loss": 0.8136,
"step": 36
},
{
"epoch": 0.017558834288501402,
"eval_loss": 0.7961127161979675,
"eval_runtime": 284.0262,
"eval_samples_per_second": 12.157,
"eval_steps_per_second": 1.521,
"step": 36
},
{
"epoch": 0.01902207047920985,
"grad_norm": 0.3428895175457001,
"learning_rate": 3.824798160583012e-05,
"loss": 0.7474,
"step": 39
},
{
"epoch": 0.020485306669918303,
"grad_norm": 0.5276553630828857,
"learning_rate": 3.5959278669726935e-05,
"loss": 0.8486,
"step": 42
},
{
"epoch": 0.021948542860626752,
"grad_norm": 0.45164918899536133,
"learning_rate": 3.355050358314172e-05,
"loss": 0.7817,
"step": 45
},
{
"epoch": 0.021948542860626752,
"eval_loss": 0.7856877446174622,
"eval_runtime": 284.5888,
"eval_samples_per_second": 12.133,
"eval_steps_per_second": 1.518,
"step": 45
},
{
"epoch": 0.023411779051335204,
"grad_norm": 0.530996561050415,
"learning_rate": 3.104804738999169e-05,
"loss": 0.8087,
"step": 48
},
{
"epoch": 0.024875015242043653,
"grad_norm": 0.4066341519355774,
"learning_rate": 2.8479327524001636e-05,
"loss": 0.757,
"step": 51
},
{
"epoch": 0.026338251432752105,
"grad_norm": 0.49550753831863403,
"learning_rate": 2.587248741756253e-05,
"loss": 0.8163,
"step": 54
},
{
"epoch": 0.026338251432752105,
"eval_loss": 0.7791209816932678,
"eval_runtime": 284.3762,
"eval_samples_per_second": 12.142,
"eval_steps_per_second": 1.519,
"step": 54
},
{
"epoch": 0.027801487623460554,
"grad_norm": 0.37957167625427246,
"learning_rate": 2.3256088156396868e-05,
"loss": 0.7212,
"step": 57
},
{
"epoch": 0.029264723814169002,
"grad_norm": 0.40554001927375793,
"learning_rate": 2.0658795558326743e-05,
"loss": 0.7365,
"step": 60
},
{
"epoch": 0.030727960004877455,
"grad_norm": 0.5294321179389954,
"learning_rate": 1.8109066104575023e-05,
"loss": 0.7684,
"step": 63
},
{
"epoch": 0.030727960004877455,
"eval_loss": 0.7754349112510681,
"eval_runtime": 284.4634,
"eval_samples_per_second": 12.139,
"eval_steps_per_second": 1.519,
"step": 63
},
{
"epoch": 0.03219119619558591,
"grad_norm": 0.6118860840797424,
"learning_rate": 1.56348351646022e-05,
"loss": 0.7783,
"step": 66
},
{
"epoch": 0.033654432386294356,
"grad_norm": 0.4474002718925476,
"learning_rate": 1.3263210930352737e-05,
"loss": 0.7547,
"step": 69
},
{
"epoch": 0.035117668577002804,
"grad_norm": 0.5504525303840637,
"learning_rate": 1.1020177413231334e-05,
"loss": 0.8348,
"step": 72
},
{
"epoch": 0.035117668577002804,
"eval_loss": 0.7724781632423401,
"eval_runtime": 284.4582,
"eval_samples_per_second": 12.139,
"eval_steps_per_second": 1.519,
"step": 72
},
{
"epoch": 0.03658090476771125,
"grad_norm": 0.4114806056022644,
"learning_rate": 8.930309757836517e-06,
"loss": 0.7906,
"step": 75
},
{
"epoch": 0.0380441409584197,
"grad_norm": 0.49407699704170227,
"learning_rate": 7.016504991533726e-06,
"loss": 0.7882,
"step": 78
},
{
"epoch": 0.03950737714912816,
"grad_norm": 0.687836229801178,
"learning_rate": 5.299731159831953e-06,
"loss": 0.7283,
"step": 81
},
{
"epoch": 0.03950737714912816,
"eval_loss": 0.7711643576622009,
"eval_runtime": 284.6778,
"eval_samples_per_second": 12.13,
"eval_steps_per_second": 1.518,
"step": 81
},
{
"epoch": 0.040970613339836606,
"grad_norm": 0.38511985540390015,
"learning_rate": 3.798797596089351e-06,
"loss": 0.8136,
"step": 84
},
{
"epoch": 0.042433849530545055,
"grad_norm": 0.45352721214294434,
"learning_rate": 2.5301488425208296e-06,
"loss": 0.8204,
"step": 87
},
{
"epoch": 0.043897085721253504,
"grad_norm": 0.32951414585113525,
"learning_rate": 1.5076844803522922e-06,
"loss": 0.7356,
"step": 90
},
{
"epoch": 0.043897085721253504,
"eval_loss": 0.770723819732666,
"eval_runtime": 284.6788,
"eval_samples_per_second": 12.129,
"eval_steps_per_second": 1.517,
"step": 90
},
{
"epoch": 0.04536032191196195,
"grad_norm": 0.42109906673431396,
"learning_rate": 7.426068431000882e-07,
"loss": 0.7546,
"step": 93
},
{
"epoch": 0.04682355810267041,
"grad_norm": 0.47802457213401794,
"learning_rate": 2.4329828146074095e-07,
"loss": 0.6932,
"step": 96
},
{
"epoch": 0.04828679429337886,
"grad_norm": 0.36127352714538574,
"learning_rate": 1.522932452260595e-08,
"loss": 0.8052,
"step": 99
},
{
"epoch": 0.04828679429337886,
"eval_loss": 0.7704710364341736,
"eval_runtime": 284.3211,
"eval_samples_per_second": 12.145,
"eval_steps_per_second": 1.519,
"step": 99
}
],
"logging_steps": 3,
"max_steps": 100,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 9,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.6637120901178982e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}