sentiment-lora-r4a2d0.15-1 / trainer_state.json
apwic's picture
End of training
bc5f98f verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 20.0,
"eval_steps": 500,
"global_step": 2440,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 5.062061786651611,
"learning_rate": 4.75e-05,
"loss": 0.566,
"step": 122
},
{
"epoch": 1.0,
"eval_accuracy": 0.7142857142857143,
"eval_f1": 0.6402562480227776,
"eval_loss": 0.5205540657043457,
"eval_precision": 0.6483653398896937,
"eval_recall": 0.6353427895981087,
"eval_runtime": 5.1909,
"eval_samples_per_second": 76.865,
"eval_steps_per_second": 9.632,
"step": 122
},
{
"epoch": 2.0,
"grad_norm": 4.104482173919678,
"learning_rate": 4.5e-05,
"loss": 0.5117,
"step": 244
},
{
"epoch": 2.0,
"eval_accuracy": 0.7343358395989975,
"eval_f1": 0.69391211208893,
"eval_loss": 0.5062463879585266,
"eval_precision": 0.6880119239984399,
"eval_recall": 0.7045371885797418,
"eval_runtime": 5.0488,
"eval_samples_per_second": 79.028,
"eval_steps_per_second": 9.903,
"step": 244
},
{
"epoch": 3.0,
"grad_norm": 4.243982791900635,
"learning_rate": 4.25e-05,
"loss": 0.4804,
"step": 366
},
{
"epoch": 3.0,
"eval_accuracy": 0.7669172932330827,
"eval_f1": 0.7152209115816456,
"eval_loss": 0.46674054861068726,
"eval_precision": 0.7182055749128919,
"eval_recall": 0.7125841062011276,
"eval_runtime": 5.0519,
"eval_samples_per_second": 78.98,
"eval_steps_per_second": 9.897,
"step": 366
},
{
"epoch": 4.0,
"grad_norm": 2.68826961517334,
"learning_rate": 4e-05,
"loss": 0.4345,
"step": 488
},
{
"epoch": 4.0,
"eval_accuracy": 0.7919799498746867,
"eval_f1": 0.744501107107864,
"eval_loss": 0.43496260046958923,
"eval_precision": 0.7494180559924504,
"eval_recall": 0.7403164211674851,
"eval_runtime": 5.0763,
"eval_samples_per_second": 78.601,
"eval_steps_per_second": 9.85,
"step": 488
},
{
"epoch": 5.0,
"grad_norm": 2.9247703552246094,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.4081,
"step": 610
},
{
"epoch": 5.0,
"eval_accuracy": 0.7944862155388471,
"eval_f1": 0.7660995138690305,
"eval_loss": 0.43371620774269104,
"eval_precision": 0.7565013111888113,
"eval_recall": 0.7845971994908165,
"eval_runtime": 5.0744,
"eval_samples_per_second": 78.631,
"eval_steps_per_second": 9.853,
"step": 610
},
{
"epoch": 6.0,
"grad_norm": 3.43408203125,
"learning_rate": 3.5e-05,
"loss": 0.3793,
"step": 732
},
{
"epoch": 6.0,
"eval_accuracy": 0.8195488721804511,
"eval_f1": 0.7753378378378378,
"eval_loss": 0.39230969548225403,
"eval_precision": 0.7857142857142857,
"eval_recall": 0.7673213311511184,
"eval_runtime": 5.0665,
"eval_samples_per_second": 78.752,
"eval_steps_per_second": 9.869,
"step": 732
},
{
"epoch": 7.0,
"grad_norm": 1.72346031665802,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.3665,
"step": 854
},
{
"epoch": 7.0,
"eval_accuracy": 0.8295739348370927,
"eval_f1": 0.7933776044839771,
"eval_loss": 0.3765198886394501,
"eval_precision": 0.7949020208205757,
"eval_recall": 0.7919167121294781,
"eval_runtime": 5.0594,
"eval_samples_per_second": 78.863,
"eval_steps_per_second": 9.883,
"step": 854
},
{
"epoch": 8.0,
"grad_norm": 3.3123555183410645,
"learning_rate": 3e-05,
"loss": 0.3471,
"step": 976
},
{
"epoch": 8.0,
"eval_accuracy": 0.8370927318295739,
"eval_f1": 0.796615353247018,
"eval_loss": 0.368134468793869,
"eval_precision": 0.8088983050847458,
"eval_recall": 0.7872340425531914,
"eval_runtime": 5.0543,
"eval_samples_per_second": 78.942,
"eval_steps_per_second": 9.892,
"step": 976
},
{
"epoch": 9.0,
"grad_norm": 4.656528949737549,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.3498,
"step": 1098
},
{
"epoch": 9.0,
"eval_accuracy": 0.8320802005012531,
"eval_f1": 0.790357364116157,
"eval_loss": 0.3676688075065613,
"eval_precision": 0.8023956975228161,
"eval_recall": 0.7811874886342971,
"eval_runtime": 5.0959,
"eval_samples_per_second": 78.299,
"eval_steps_per_second": 9.812,
"step": 1098
},
{
"epoch": 10.0,
"grad_norm": 6.076303482055664,
"learning_rate": 2.5e-05,
"loss": 0.3282,
"step": 1220
},
{
"epoch": 10.0,
"eval_accuracy": 0.8345864661654135,
"eval_f1": 0.7917273014868713,
"eval_loss": 0.363395094871521,
"eval_precision": 0.8074456774536514,
"eval_recall": 0.780460083651573,
"eval_runtime": 5.0935,
"eval_samples_per_second": 78.335,
"eval_steps_per_second": 9.816,
"step": 1220
},
{
"epoch": 11.0,
"grad_norm": 4.567991256713867,
"learning_rate": 2.25e-05,
"loss": 0.3149,
"step": 1342
},
{
"epoch": 11.0,
"eval_accuracy": 0.8446115288220551,
"eval_f1": 0.8065409159159159,
"eval_loss": 0.3537313938140869,
"eval_precision": 0.8180272108843537,
"eval_recall": 0.7975541007455902,
"eval_runtime": 5.0734,
"eval_samples_per_second": 78.645,
"eval_steps_per_second": 9.855,
"step": 1342
},
{
"epoch": 12.0,
"grad_norm": 11.14825439453125,
"learning_rate": 2e-05,
"loss": 0.3092,
"step": 1464
},
{
"epoch": 12.0,
"eval_accuracy": 0.849624060150376,
"eval_f1": 0.8167483159828537,
"eval_loss": 0.3528764247894287,
"eval_precision": 0.8201621387462095,
"eval_recall": 0.8136024731769412,
"eval_runtime": 5.0609,
"eval_samples_per_second": 78.84,
"eval_steps_per_second": 9.88,
"step": 1464
},
{
"epoch": 13.0,
"grad_norm": 4.867825031280518,
"learning_rate": 1.75e-05,
"loss": 0.3135,
"step": 1586
},
{
"epoch": 13.0,
"eval_accuracy": 0.8521303258145363,
"eval_f1": 0.8121903546212454,
"eval_loss": 0.3471047580242157,
"eval_precision": 0.8331751305173232,
"eval_recall": 0.7978723404255319,
"eval_runtime": 5.0541,
"eval_samples_per_second": 78.945,
"eval_steps_per_second": 9.893,
"step": 1586
},
{
"epoch": 14.0,
"grad_norm": 12.051921844482422,
"learning_rate": 1.5e-05,
"loss": 0.3103,
"step": 1708
},
{
"epoch": 14.0,
"eval_accuracy": 0.8621553884711779,
"eval_f1": 0.8269335415335841,
"eval_loss": 0.3426941931247711,
"eval_precision": 0.8430382253911666,
"eval_recall": 0.8149663575195489,
"eval_runtime": 5.0514,
"eval_samples_per_second": 78.988,
"eval_steps_per_second": 9.898,
"step": 1708
},
{
"epoch": 15.0,
"grad_norm": 1.2898627519607544,
"learning_rate": 1.25e-05,
"loss": 0.2974,
"step": 1830
},
{
"epoch": 15.0,
"eval_accuracy": 0.8621553884711779,
"eval_f1": 0.8297847585805701,
"eval_loss": 0.33716997504234314,
"eval_precision": 0.8385357006491028,
"eval_recall": 0.8224677214038916,
"eval_runtime": 5.0651,
"eval_samples_per_second": 78.774,
"eval_steps_per_second": 9.871,
"step": 1830
},
{
"epoch": 16.0,
"grad_norm": 6.9146409034729,
"learning_rate": 1e-05,
"loss": 0.2905,
"step": 1952
},
{
"epoch": 16.0,
"eval_accuracy": 0.8696741854636592,
"eval_f1": 0.8386324041811847,
"eval_loss": 0.3345378339290619,
"eval_precision": 0.8487869670976828,
"eval_recall": 0.830287324968176,
"eval_runtime": 5.0595,
"eval_samples_per_second": 78.862,
"eval_steps_per_second": 9.882,
"step": 1952
},
{
"epoch": 17.0,
"grad_norm": 4.737354278564453,
"learning_rate": 7.5e-06,
"loss": 0.2895,
"step": 2074
},
{
"epoch": 17.0,
"eval_accuracy": 0.8621553884711779,
"eval_f1": 0.8269335415335841,
"eval_loss": 0.3339170217514038,
"eval_precision": 0.8430382253911666,
"eval_recall": 0.8149663575195489,
"eval_runtime": 5.0983,
"eval_samples_per_second": 78.261,
"eval_steps_per_second": 9.807,
"step": 2074
},
{
"epoch": 18.0,
"grad_norm": 3.6233842372894287,
"learning_rate": 5e-06,
"loss": 0.2922,
"step": 2196
},
{
"epoch": 18.0,
"eval_accuracy": 0.8696741854636592,
"eval_f1": 0.8386324041811847,
"eval_loss": 0.3318663537502289,
"eval_precision": 0.8487869670976828,
"eval_recall": 0.830287324968176,
"eval_runtime": 5.0967,
"eval_samples_per_second": 78.285,
"eval_steps_per_second": 9.81,
"step": 2196
},
{
"epoch": 19.0,
"grad_norm": 4.824616432189941,
"learning_rate": 2.5e-06,
"loss": 0.2843,
"step": 2318
},
{
"epoch": 19.0,
"eval_accuracy": 0.8621553884711779,
"eval_f1": 0.8269335415335841,
"eval_loss": 0.3319249749183655,
"eval_precision": 0.8430382253911666,
"eval_recall": 0.8149663575195489,
"eval_runtime": 5.0765,
"eval_samples_per_second": 78.598,
"eval_steps_per_second": 9.849,
"step": 2318
},
{
"epoch": 20.0,
"grad_norm": 7.412130832672119,
"learning_rate": 0.0,
"loss": 0.287,
"step": 2440
},
{
"epoch": 20.0,
"eval_accuracy": 0.8621553884711779,
"eval_f1": 0.8279052989013229,
"eval_loss": 0.33124828338623047,
"eval_precision": 0.8414113428943938,
"eval_recall": 0.8174668121476631,
"eval_runtime": 5.0634,
"eval_samples_per_second": 78.8,
"eval_steps_per_second": 9.875,
"step": 2440
},
{
"epoch": 20.0,
"step": 2440,
"total_flos": 7597037114448000.0,
"train_loss": 0.35801424432973394,
"train_runtime": 1955.1531,
"train_samples_per_second": 37.214,
"train_steps_per_second": 1.248
}
],
"logging_steps": 500,
"max_steps": 2440,
"num_input_tokens_seen": 0,
"num_train_epochs": 20,
"save_steps": 500,
"total_flos": 7597037114448000.0,
"train_batch_size": 30,
"trial_name": null,
"trial_params": null
}