faberx00's picture
Upload folder using huggingface_hub
c498206
Raw
History Blame Contribute Delete
3.74 kB
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 7.847290640394089,
"eval_steps": 500,
"global_step": 400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.49261083743842365,
"grad_norm": 0.15254946053028107,
"learning_rate": 0.0001446153846153846,
"loss": 1.5160433959960937,
"step": 25
},
{
"epoch": 0.9852216748768473,
"grad_norm": 0.20539413392543793,
"learning_rate": 0.000135,
"loss": 1.0721150970458984,
"step": 50
},
{
"epoch": 1.4729064039408866,
"grad_norm": 0.3349456489086151,
"learning_rate": 0.00012538461538461537,
"loss": 0.889725341796875,
"step": 75
},
{
"epoch": 1.9655172413793105,
"grad_norm": 0.38187605142593384,
"learning_rate": 0.00011576923076923076,
"loss": 0.8153521728515625,
"step": 100
},
{
"epoch": 2.4532019704433496,
"grad_norm": 0.40065380930900574,
"learning_rate": 0.00010615384615384615,
"loss": 0.6382305145263671,
"step": 125
},
{
"epoch": 2.945812807881773,
"grad_norm": 0.34503671526908875,
"learning_rate": 9.653846153846153e-05,
"loss": 0.6294133377075195,
"step": 150
},
{
"epoch": 3.4334975369458127,
"grad_norm": 0.5113261342048645,
"learning_rate": 8.692307692307692e-05,
"loss": 0.47971511840820313,
"step": 175
},
{
"epoch": 3.9261083743842367,
"grad_norm": 0.4824973940849304,
"learning_rate": 7.730769230769229e-05,
"loss": 0.4443168640136719,
"step": 200
},
{
"epoch": 4.413793103448276,
"grad_norm": 0.5395641326904297,
"learning_rate": 6.769230769230768e-05,
"loss": 0.37861297607421873,
"step": 225
},
{
"epoch": 4.906403940886699,
"grad_norm": 0.5288678407669067,
"learning_rate": 5.8076923076923076e-05,
"loss": 0.32240795135498046,
"step": 250
},
{
"epoch": 5.394088669950739,
"grad_norm": 0.5405877828598022,
"learning_rate": 4.846153846153846e-05,
"loss": 0.24867280960083007,
"step": 275
},
{
"epoch": 5.886699507389163,
"grad_norm": 0.47326216101646423,
"learning_rate": 3.884615384615385e-05,
"loss": 0.22707448959350585,
"step": 300
},
{
"epoch": 6.374384236453202,
"grad_norm": 0.48245593905448914,
"learning_rate": 2.9230769230769227e-05,
"loss": 0.1732488441467285,
"step": 325
},
{
"epoch": 6.8669950738916254,
"grad_norm": 0.8283548355102539,
"learning_rate": 1.9615384615384613e-05,
"loss": 0.1669930076599121,
"step": 350
},
{
"epoch": 7.3546798029556655,
"grad_norm": 0.33281880617141724,
"learning_rate": 9.999999999999999e-06,
"loss": 0.15444289207458495,
"step": 375
},
{
"epoch": 7.847290640394089,
"grad_norm": 0.5502084493637085,
"learning_rate": 3.846153846153846e-07,
"loss": 0.11810269355773925,
"step": 400
}
],
"logging_steps": 25,
"max_steps": 400,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 400,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 8.033178029351731e+17,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}