Quentin Meeus
finetune small model on NER task (slu_weight=1.)
cfee215
raw
history blame
14.7 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 8.936550491510276,
"eval_steps": 200,
"global_step": 5000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.18,
"learning_rate": 5e-05,
"loss": 0.0467,
"step": 100
},
{
"epoch": 0.36,
"learning_rate": 4.994863481875841e-05,
"loss": 0.0433,
"step": 200
},
{
"epoch": 0.36,
"eval_f1_score": 0.6251468860164512,
"eval_label_f1": 0.8319623971797884,
"eval_loss": 0.05231842026114464,
"eval_runtime": 457.2641,
"eval_samples_per_second": 2.187,
"eval_steps_per_second": 0.547,
"eval_wer": 0.10434244136543076,
"step": 200
},
{
"epoch": 0.54,
"learning_rate": 4.979475034558115e-05,
"loss": 0.0402,
"step": 300
},
{
"epoch": 0.71,
"learning_rate": 4.9538978924776634e-05,
"loss": 0.0391,
"step": 400
},
{
"epoch": 0.71,
"eval_f1_score": 0.6206896551724138,
"eval_label_f1": 0.8346394984326019,
"eval_loss": 0.050447478890419006,
"eval_runtime": 457.7184,
"eval_samples_per_second": 2.185,
"eval_steps_per_second": 0.546,
"eval_wer": 0.10472946822509482,
"step": 400
},
{
"epoch": 0.89,
"learning_rate": 4.9182371575975736e-05,
"loss": 0.037,
"step": 500
},
{
"epoch": 1.07,
"learning_rate": 4.8726393675266716e-05,
"loss": 0.0381,
"step": 600
},
{
"epoch": 1.07,
"eval_f1_score": 0.6142467886337096,
"eval_label_f1": 0.8322304398598676,
"eval_loss": 0.049576789140701294,
"eval_runtime": 458.238,
"eval_samples_per_second": 2.182,
"eval_steps_per_second": 0.546,
"eval_wer": 0.10654849446551591,
"step": 600
},
{
"epoch": 1.25,
"learning_rate": 4.817291893365055e-05,
"loss": 0.037,
"step": 700
},
{
"epoch": 1.43,
"learning_rate": 4.752422169756048e-05,
"loss": 0.0374,
"step": 800
},
{
"epoch": 1.43,
"eval_f1_score": 0.6158081006685017,
"eval_label_f1": 0.8360204482894219,
"eval_loss": 0.04838084056973457,
"eval_runtime": 456.7741,
"eval_samples_per_second": 2.189,
"eval_steps_per_second": 0.547,
"eval_wer": 0.10705162938307919,
"step": 800
},
{
"epoch": 1.61,
"learning_rate": 4.678296760308474e-05,
"loss": 0.0375,
"step": 900
},
{
"epoch": 1.79,
"learning_rate": 4.595220262229601e-05,
"loss": 0.0374,
"step": 1000
},
{
"epoch": 1.79,
"eval_f1_score": 0.6155063291139241,
"eval_label_f1": 0.8370253164556962,
"eval_loss": 0.047435563057661057,
"eval_runtime": 463.3137,
"eval_samples_per_second": 2.158,
"eval_steps_per_second": 0.54,
"eval_wer": 0.10693552132517997,
"step": 1000
},
{
"epoch": 1.97,
"learning_rate": 4.503534054669892e-05,
"loss": 0.0379,
"step": 1100
},
{
"epoch": 2.14,
"learning_rate": 4.4036148959228365e-05,
"loss": 0.0342,
"step": 1200
},
{
"epoch": 2.14,
"eval_f1_score": 0.6118110236220473,
"eval_label_f1": 0.8362204724409448,
"eval_loss": 0.04737536609172821,
"eval_runtime": 458.8739,
"eval_samples_per_second": 2.179,
"eval_steps_per_second": 0.545,
"eval_wer": 0.1077095750445081,
"step": 1200
},
{
"epoch": 2.32,
"learning_rate": 4.2958733752443195e-05,
"loss": 0.0345,
"step": 1300
},
{
"epoch": 2.5,
"learning_rate": 4.180752225653292e-05,
"loss": 0.0362,
"step": 1400
},
{
"epoch": 2.5,
"eval_f1_score": 0.6138147566718996,
"eval_label_f1": 0.8375196232339089,
"eval_loss": 0.04683598503470421,
"eval_runtime": 458.5195,
"eval_samples_per_second": 2.181,
"eval_steps_per_second": 0.545,
"eval_wer": 0.10790308847434012,
"step": 1400
},
{
"epoch": 2.68,
"learning_rate": 4.058724504646834e-05,
"loss": 0.0343,
"step": 1500
},
{
"epoch": 2.86,
"learning_rate": 3.9302916503054246e-05,
"loss": 0.0351,
"step": 1600
},
{
"epoch": 2.86,
"eval_f1_score": 0.6101960784313726,
"eval_label_f1": 0.836078431372549,
"eval_loss": 0.04606114700436592,
"eval_runtime": 460.3927,
"eval_samples_per_second": 2.172,
"eval_steps_per_second": 0.543,
"eval_wer": 0.10821270996207137,
"step": 1600
},
{
"epoch": 3.04,
"learning_rate": 3.7959814207763135e-05,
"loss": 0.0355,
"step": 1700
},
{
"epoch": 3.22,
"learning_rate": 3.656345725602089e-05,
"loss": 0.0339,
"step": 1800
},
{
"epoch": 3.22,
"eval_f1_score": 0.611111111111111,
"eval_label_f1": 0.838810641627543,
"eval_loss": 0.046606115996837616,
"eval_runtime": 460.841,
"eval_samples_per_second": 2.17,
"eval_steps_per_second": 0.542,
"eval_wer": 0.10794179116030653,
"step": 1800
},
{
"epoch": 3.4,
"learning_rate": 3.5119583578059846e-05,
"loss": 0.0333,
"step": 1900
},
{
"epoch": 3.57,
"learning_rate": 3.363412636053269e-05,
"loss": 0.0323,
"step": 2000
},
{
"epoch": 3.57,
"eval_f1_score": 0.6168371361132967,
"eval_label_f1": 0.8418568056648308,
"eval_loss": 0.04674151912331581,
"eval_runtime": 460.8468,
"eval_samples_per_second": 2.17,
"eval_steps_per_second": 0.542,
"eval_wer": 0.10879325025156746,
"step": 2000
},
{
"epoch": 3.75,
"learning_rate": 3.211318966577581e-05,
"loss": 0.0332,
"step": 2100
},
{
"epoch": 3.93,
"learning_rate": 3.056302334890786e-05,
"loss": 0.0338,
"step": 2200
},
{
"epoch": 3.93,
"eval_f1_score": 0.6093443266588143,
"eval_label_f1": 0.8425598743619945,
"eval_loss": 0.0457298718392849,
"eval_runtime": 456.4605,
"eval_samples_per_second": 2.191,
"eval_steps_per_second": 0.548,
"eval_wer": 0.10856103413576902,
"step": 2200
},
{
"epoch": 4.11,
"learning_rate": 2.8989997375834482e-05,
"loss": 0.0333,
"step": 2300
},
{
"epoch": 4.29,
"learning_rate": 2.7400575647692046e-05,
"loss": 0.032,
"step": 2400
},
{
"epoch": 4.29,
"eval_f1_score": 0.6090404440919905,
"eval_label_f1": 0.8398096748612214,
"eval_loss": 0.045234858989715576,
"eval_runtime": 457.189,
"eval_samples_per_second": 2.187,
"eval_steps_per_second": 0.547,
"eval_wer": 0.10852233144980261,
"step": 2400
},
{
"epoch": 4.47,
"learning_rate": 2.5801289439291388e-05,
"loss": 0.0335,
"step": 2500
},
{
"epoch": 4.65,
"learning_rate": 2.419871056070862e-05,
"loss": 0.0307,
"step": 2600
},
{
"epoch": 4.65,
"eval_f1_score": 0.6139315230224321,
"eval_label_f1": 0.8421881149153877,
"eval_loss": 0.04505770280957222,
"eval_runtime": 456.5336,
"eval_samples_per_second": 2.19,
"eval_steps_per_second": 0.548,
"eval_wer": 0.10859973682173543,
"step": 2600
},
{
"epoch": 4.83,
"learning_rate": 2.2599424352307957e-05,
"loss": 0.0324,
"step": 2700
},
{
"epoch": 5.0,
"learning_rate": 2.1010002624165527e-05,
"loss": 0.0321,
"step": 2800
},
{
"epoch": 5.0,
"eval_f1_score": 0.6115702479338844,
"eval_label_f1": 0.8398268398268398,
"eval_loss": 0.04516015574336052,
"eval_runtime": 459.143,
"eval_samples_per_second": 2.178,
"eval_steps_per_second": 0.544,
"eval_wer": 0.10829011533400418,
"step": 2800
},
{
"epoch": 5.18,
"learning_rate": 1.9436976651092144e-05,
"loss": 0.0303,
"step": 2900
},
{
"epoch": 5.36,
"learning_rate": 1.7886810334224192e-05,
"loss": 0.0313,
"step": 3000
},
{
"epoch": 5.36,
"eval_f1_score": 0.6116352201257862,
"eval_label_f1": 0.8404088050314464,
"eval_loss": 0.044775452464818954,
"eval_runtime": 458.1981,
"eval_samples_per_second": 2.182,
"eval_steps_per_second": 0.546,
"eval_wer": 0.10921897979719793,
"step": 3000
},
{
"epoch": 5.54,
"learning_rate": 1.6365873639467315e-05,
"loss": 0.0321,
"step": 3100
},
{
"epoch": 5.72,
"learning_rate": 1.4880416421940155e-05,
"loss": 0.0309,
"step": 3200
},
{
"epoch": 5.72,
"eval_f1_score": 0.6109148017275227,
"eval_label_f1": 0.8402041617589321,
"eval_loss": 0.04491139575839043,
"eval_runtime": 457.2993,
"eval_samples_per_second": 2.187,
"eval_steps_per_second": 0.547,
"eval_wer": 0.10832881801997059,
"step": 3200
},
{
"epoch": 5.9,
"learning_rate": 1.3436542743979125e-05,
"loss": 0.0318,
"step": 3300
},
{
"epoch": 6.08,
"learning_rate": 1.2040185792236874e-05,
"loss": 0.0305,
"step": 3400
},
{
"epoch": 6.08,
"eval_f1_score": 0.6085590891244601,
"eval_label_f1": 0.8402041617589321,
"eval_loss": 0.0448303148150444,
"eval_runtime": 459.7209,
"eval_samples_per_second": 2.175,
"eval_steps_per_second": 0.544,
"eval_wer": 0.10825141264803777,
"step": 3400
},
{
"epoch": 6.26,
"learning_rate": 1.0697083496945765e-05,
"loss": 0.0302,
"step": 3500
},
{
"epoch": 6.43,
"learning_rate": 9.412754953531663e-06,
"loss": 0.0301,
"step": 3600
},
{
"epoch": 6.43,
"eval_f1_score": 0.6115702479338844,
"eval_label_f1": 0.8374655647382919,
"eval_loss": 0.044706329703330994,
"eval_runtime": 459.3177,
"eval_samples_per_second": 2.177,
"eval_steps_per_second": 0.544,
"eval_wer": 0.10813530459013855,
"step": 3600
},
{
"epoch": 6.61,
"learning_rate": 8.192477743467078e-06,
"loss": 0.0304,
"step": 3700
},
{
"epoch": 6.79,
"learning_rate": 7.041266247556813e-06,
"loss": 0.03,
"step": 3800
},
{
"epoch": 6.79,
"eval_f1_score": 0.6103434662455587,
"eval_label_f1": 0.8401105408606395,
"eval_loss": 0.04461517930030823,
"eval_runtime": 456.0173,
"eval_samples_per_second": 2.193,
"eval_steps_per_second": 0.548,
"eval_wer": 0.10867714219366824,
"step": 3800
},
{
"epoch": 6.97,
"learning_rate": 5.9638510407716394e-06,
"loss": 0.0314,
"step": 3900
},
{
"epoch": 7.15,
"learning_rate": 4.9646594533010875e-06,
"loss": 0.0302,
"step": 4000
},
{
"epoch": 7.15,
"eval_f1_score": 0.6120047077285209,
"eval_label_f1": 0.8387602981561396,
"eval_loss": 0.04448845237493515,
"eval_runtime": 457.6573,
"eval_samples_per_second": 2.185,
"eval_steps_per_second": 0.546,
"eval_wer": 0.108367520705937,
"step": 4000
},
{
"epoch": 7.33,
"learning_rate": 4.047797377703985e-06,
"loss": 0.0309,
"step": 4100
},
{
"epoch": 7.51,
"learning_rate": 3.217032396915265e-06,
"loss": 0.0294,
"step": 4200
},
{
"epoch": 7.51,
"eval_f1_score": 0.6132075471698112,
"eval_label_f1": 0.8396226415094339,
"eval_loss": 0.044213637709617615,
"eval_runtime": 455.3785,
"eval_samples_per_second": 2.196,
"eval_steps_per_second": 0.549,
"eval_wer": 0.10863843950770183,
"step": 4200
},
{
"epoch": 7.69,
"learning_rate": 2.475778302439524e-06,
"loss": 0.0296,
"step": 4300
},
{
"epoch": 7.86,
"learning_rate": 1.827081066349459e-06,
"loss": 0.03,
"step": 4400
},
{
"epoch": 7.86,
"eval_f1_score": 0.6111547525530244,
"eval_label_f1": 0.8381775333857032,
"eval_loss": 0.04440901055932045,
"eval_runtime": 458.0063,
"eval_samples_per_second": 2.183,
"eval_steps_per_second": 0.546,
"eval_wer": 0.10879325025156746,
"step": 4400
},
{
"epoch": 8.04,
"learning_rate": 1.273606324733284e-06,
"loss": 0.0301,
"step": 4500
},
{
"epoch": 8.22,
"learning_rate": 8.176284240242638e-07,
"loss": 0.03,
"step": 4600
},
{
"epoch": 8.22,
"eval_f1_score": 0.6109148017275227,
"eval_label_f1": 0.8370632116215156,
"eval_loss": 0.04447592794895172,
"eval_runtime": 458.4151,
"eval_samples_per_second": 2.181,
"eval_steps_per_second": 0.545,
"eval_wer": 0.10871584487963465,
"step": 4600
},
{
"epoch": 8.4,
"learning_rate": 4.6102107522336403e-07,
"loss": 0.0307,
"step": 4700
},
{
"epoch": 8.58,
"learning_rate": 2.052496544188487e-07,
"loss": 0.0296,
"step": 4800
},
{
"epoch": 8.58,
"eval_f1_score": 0.6117000392618768,
"eval_label_f1": 0.8378484491558698,
"eval_loss": 0.04443991929292679,
"eval_runtime": 455.2323,
"eval_samples_per_second": 2.197,
"eval_steps_per_second": 0.549,
"eval_wer": 0.1084062233919034,
"step": 4800
},
{
"epoch": 8.76,
"learning_rate": 5.136518124159162e-08,
"loss": 0.0288,
"step": 4900
},
{
"epoch": 8.94,
"learning_rate": 0.0,
"loss": 0.0297,
"step": 5000
},
{
"epoch": 8.94,
"eval_f1_score": 0.6098231827111984,
"eval_label_f1": 0.8369351669941061,
"eval_loss": 0.04443608224391937,
"eval_runtime": 456.0761,
"eval_samples_per_second": 2.193,
"eval_steps_per_second": 0.548,
"eval_wer": 0.10856103413576902,
"step": 5000
}
],
"logging_steps": 100,
"max_steps": 5000,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"save_steps": 200,
"total_flos": 1.9542812433710973e+20,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}