leixa's picture
Training in progress, step 100, checkpoint
253dfa1 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.172514619883041,
"eval_steps": 9,
"global_step": 100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.011695906432748537,
"eval_loss": 1.4764314889907837,
"eval_runtime": 13.5735,
"eval_samples_per_second": 10.609,
"eval_steps_per_second": 1.326,
"step": 1
},
{
"epoch": 0.03508771929824561,
"grad_norm": 0.47823527455329895,
"learning_rate": 3e-05,
"loss": 5.7719,
"step": 3
},
{
"epoch": 0.07017543859649122,
"grad_norm": 0.6247535943984985,
"learning_rate": 6e-05,
"loss": 5.836,
"step": 6
},
{
"epoch": 0.10526315789473684,
"grad_norm": 0.5008035898208618,
"learning_rate": 9e-05,
"loss": 5.5911,
"step": 9
},
{
"epoch": 0.10526315789473684,
"eval_loss": 1.450061559677124,
"eval_runtime": 13.8272,
"eval_samples_per_second": 10.414,
"eval_steps_per_second": 1.302,
"step": 9
},
{
"epoch": 0.14035087719298245,
"grad_norm": 0.5038430094718933,
"learning_rate": 9.987820251299122e-05,
"loss": 5.6881,
"step": 12
},
{
"epoch": 0.17543859649122806,
"grad_norm": 0.6504800319671631,
"learning_rate": 9.924038765061042e-05,
"loss": 5.8583,
"step": 15
},
{
"epoch": 0.21052631578947367,
"grad_norm": 0.47255322337150574,
"learning_rate": 9.806308479691595e-05,
"loss": 5.4709,
"step": 18
},
{
"epoch": 0.21052631578947367,
"eval_loss": 1.407480001449585,
"eval_runtime": 13.8137,
"eval_samples_per_second": 10.424,
"eval_steps_per_second": 1.303,
"step": 18
},
{
"epoch": 0.24561403508771928,
"grad_norm": 0.393683522939682,
"learning_rate": 9.635919272833938e-05,
"loss": 5.346,
"step": 21
},
{
"epoch": 0.2807017543859649,
"grad_norm": 0.40169697999954224,
"learning_rate": 9.414737964294636e-05,
"loss": 5.3727,
"step": 24
},
{
"epoch": 0.3157894736842105,
"grad_norm": 0.37064439058303833,
"learning_rate": 9.145187862775209e-05,
"loss": 5.2459,
"step": 27
},
{
"epoch": 0.3157894736842105,
"eval_loss": 1.3822287321090698,
"eval_runtime": 13.7588,
"eval_samples_per_second": 10.466,
"eval_steps_per_second": 1.308,
"step": 27
},
{
"epoch": 0.3508771929824561,
"grad_norm": 0.44399482011795044,
"learning_rate": 8.83022221559489e-05,
"loss": 5.6151,
"step": 30
},
{
"epoch": 0.38596491228070173,
"grad_norm": 0.4025361239910126,
"learning_rate": 8.473291852294987e-05,
"loss": 5.1451,
"step": 33
},
{
"epoch": 0.42105263157894735,
"grad_norm": 0.3941345810890198,
"learning_rate": 8.07830737662829e-05,
"loss": 4.9181,
"step": 36
},
{
"epoch": 0.42105263157894735,
"eval_loss": 1.3653277158737183,
"eval_runtime": 13.7475,
"eval_samples_per_second": 10.475,
"eval_steps_per_second": 1.309,
"step": 36
},
{
"epoch": 0.45614035087719296,
"grad_norm": 0.38964855670928955,
"learning_rate": 7.649596321166024e-05,
"loss": 5.4978,
"step": 39
},
{
"epoch": 0.49122807017543857,
"grad_norm": 0.6319313049316406,
"learning_rate": 7.191855733945387e-05,
"loss": 5.203,
"step": 42
},
{
"epoch": 0.5263157894736842,
"grad_norm": 0.43766701221466064,
"learning_rate": 6.710100716628344e-05,
"loss": 5.3021,
"step": 45
},
{
"epoch": 0.5263157894736842,
"eval_loss": 1.351959466934204,
"eval_runtime": 13.7383,
"eval_samples_per_second": 10.482,
"eval_steps_per_second": 1.31,
"step": 45
},
{
"epoch": 0.5614035087719298,
"grad_norm": 0.40817752480506897,
"learning_rate": 6.209609477998338e-05,
"loss": 5.3959,
"step": 48
},
{
"epoch": 0.5964912280701754,
"grad_norm": 0.5033959746360779,
"learning_rate": 5.695865504800327e-05,
"loss": 5.1644,
"step": 51
},
{
"epoch": 0.631578947368421,
"grad_norm": 0.44770410656929016,
"learning_rate": 5.174497483512506e-05,
"loss": 5.485,
"step": 54
},
{
"epoch": 0.631578947368421,
"eval_loss": 1.3431975841522217,
"eval_runtime": 13.7444,
"eval_samples_per_second": 10.477,
"eval_steps_per_second": 1.31,
"step": 54
},
{
"epoch": 0.6666666666666666,
"grad_norm": 0.4134134352207184,
"learning_rate": 4.6512176312793736e-05,
"loss": 5.1448,
"step": 57
},
{
"epoch": 0.7017543859649122,
"grad_norm": 0.40665504336357117,
"learning_rate": 4.131759111665349e-05,
"loss": 4.8621,
"step": 60
},
{
"epoch": 0.7368421052631579,
"grad_norm": 0.47186246514320374,
"learning_rate": 3.6218132209150045e-05,
"loss": 4.9763,
"step": 63
},
{
"epoch": 0.7368421052631579,
"eval_loss": 1.3367018699645996,
"eval_runtime": 13.7427,
"eval_samples_per_second": 10.478,
"eval_steps_per_second": 1.31,
"step": 63
},
{
"epoch": 0.7719298245614035,
"grad_norm": 0.4636601209640503,
"learning_rate": 3.12696703292044e-05,
"loss": 4.8446,
"step": 66
},
{
"epoch": 0.8070175438596491,
"grad_norm": 0.5160920023918152,
"learning_rate": 2.6526421860705473e-05,
"loss": 5.3747,
"step": 69
},
{
"epoch": 0.8421052631578947,
"grad_norm": 0.46744614839553833,
"learning_rate": 2.2040354826462668e-05,
"loss": 5.1907,
"step": 72
},
{
"epoch": 0.8421052631578947,
"eval_loss": 1.3317314386367798,
"eval_runtime": 13.7478,
"eval_samples_per_second": 10.474,
"eval_steps_per_second": 1.309,
"step": 72
},
{
"epoch": 0.8771929824561403,
"grad_norm": 0.4592737555503845,
"learning_rate": 1.7860619515673033e-05,
"loss": 5.4021,
"step": 75
},
{
"epoch": 0.9122807017543859,
"grad_norm": 0.46895694732666016,
"learning_rate": 1.4033009983067452e-05,
"loss": 5.2216,
"step": 78
},
{
"epoch": 0.9473684210526315,
"grad_norm": 0.49175575375556946,
"learning_rate": 1.0599462319663905e-05,
"loss": 5.1936,
"step": 81
},
{
"epoch": 0.9473684210526315,
"eval_loss": 1.3289103507995605,
"eval_runtime": 13.7459,
"eval_samples_per_second": 10.476,
"eval_steps_per_second": 1.309,
"step": 81
},
{
"epoch": 0.9824561403508771,
"grad_norm": 0.45295849442481995,
"learning_rate": 7.597595192178702e-06,
"loss": 5.2037,
"step": 84
},
{
"epoch": 1.0204678362573099,
"grad_norm": 0.4632893204689026,
"learning_rate": 5.060297685041659e-06,
"loss": 4.9032,
"step": 87
},
{
"epoch": 1.0555555555555556,
"grad_norm": 0.5045644044876099,
"learning_rate": 3.0153689607045845e-06,
"loss": 5.235,
"step": 90
},
{
"epoch": 1.0555555555555556,
"eval_loss": 1.3276033401489258,
"eval_runtime": 13.751,
"eval_samples_per_second": 10.472,
"eval_steps_per_second": 1.309,
"step": 90
},
{
"epoch": 1.090643274853801,
"grad_norm": 0.44458574056625366,
"learning_rate": 1.4852136862001764e-06,
"loss": 4.9056,
"step": 93
},
{
"epoch": 1.1257309941520468,
"grad_norm": 0.47579580545425415,
"learning_rate": 4.865965629214819e-07,
"loss": 4.9345,
"step": 96
},
{
"epoch": 1.1608187134502923,
"grad_norm": 0.508492648601532,
"learning_rate": 3.04586490452119e-08,
"loss": 5.1551,
"step": 99
},
{
"epoch": 1.1608187134502923,
"eval_loss": 1.327457308769226,
"eval_runtime": 13.7559,
"eval_samples_per_second": 10.468,
"eval_steps_per_second": 1.309,
"step": 99
}
],
"logging_steps": 3,
"max_steps": 100,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"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": 1.47552863256576e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}