xshubhamx's picture
Upload folder using huggingface_hub
aefbb83 verified
Raw
History Blame Contribute Delete
16.5 kB
{
"best_metric": 0.7850116201409046,
"best_model_checkpoint": "roberta-base/checkpoint-7073",
"epoch": 15.0,
"eval_steps": 500,
"global_step": 9645,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.78,
"grad_norm": 16.478424072265625,
"learning_rate": 4.742871954380509e-05,
"loss": 1.4921,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.6762199845081333,
"eval_f1_macro": 0.36762215914350266,
"eval_f1_micro": 0.6762199845081333,
"eval_f1_weighted": 0.6381553142782734,
"eval_loss": 1.0307424068450928,
"eval_macro_fpr": 0.03508857639652692,
"eval_macro_sensitivity": 0.4027183655220987,
"eval_macro_specificity": 0.9746655126680946,
"eval_precision": 0.6361951106730956,
"eval_precision_macro": 0.3745780279088578,
"eval_recall": 0.6762199845081333,
"eval_recall_macro": 0.4027183655220987,
"eval_runtime": 65.0146,
"eval_samples_per_second": 19.857,
"eval_steps_per_second": 2.492,
"eval_weighted_fpr": 0.03306962025316456,
"eval_weighted_sensitivity": 0.6762199845081333,
"eval_weighted_specificity": 0.9437627055132857,
"step": 643
},
{
"epoch": 1.56,
"grad_norm": 11.052178382873535,
"learning_rate": 4.483670295489891e-05,
"loss": 0.9019,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.737412858249419,
"eval_f1_macro": 0.4767493392755858,
"eval_f1_micro": 0.737412858249419,
"eval_f1_weighted": 0.7197263095885438,
"eval_loss": 0.8135831952095032,
"eval_macro_fpr": 0.025093207469991694,
"eval_macro_sensitivity": 0.5148741493607558,
"eval_macro_specificity": 0.9804978566683986,
"eval_precision": 0.7158327481302543,
"eval_precision_macro": 0.4625056436667857,
"eval_recall": 0.737412858249419,
"eval_recall_macro": 0.5148741493607558,
"eval_runtime": 78.3833,
"eval_samples_per_second": 16.47,
"eval_steps_per_second": 2.067,
"eval_weighted_fpr": 0.024804273066510573,
"eval_weighted_sensitivity": 0.737412858249419,
"eval_weighted_specificity": 0.9700549917765612,
"step": 1286
},
{
"epoch": 2.33,
"grad_norm": 16.875791549682617,
"learning_rate": 4.224468636599274e-05,
"loss": 0.7714,
"step": 1500
},
{
"epoch": 3.0,
"eval_accuracy": 0.7621998450813323,
"eval_f1_macro": 0.5064301619528891,
"eval_f1_micro": 0.7621998450813323,
"eval_f1_weighted": 0.7440787580787277,
"eval_loss": 0.8493772149085999,
"eval_macro_fpr": 0.022439395825223803,
"eval_macro_sensitivity": 0.5353612181578932,
"eval_macro_specificity": 0.9822327546765126,
"eval_precision": 0.7385639759374297,
"eval_precision_macro": 0.505572707108006,
"eval_recall": 0.7621998450813323,
"eval_recall_macro": 0.5353612181578932,
"eval_runtime": 62.8149,
"eval_samples_per_second": 20.552,
"eval_steps_per_second": 2.579,
"eval_weighted_fpr": 0.02179933252858056,
"eval_weighted_sensitivity": 0.7621998450813323,
"eval_weighted_specificity": 0.9712914750663563,
"step": 1929
},
{
"epoch": 3.11,
"grad_norm": 59.48842239379883,
"learning_rate": 3.9652669777086575e-05,
"loss": 0.7018,
"step": 2000
},
{
"epoch": 3.89,
"grad_norm": 1.6855363845825195,
"learning_rate": 3.706583722135822e-05,
"loss": 0.5351,
"step": 2500
},
{
"epoch": 4.0,
"eval_accuracy": 0.7645236250968241,
"eval_f1_macro": 0.544445143585482,
"eval_f1_micro": 0.7645236250968241,
"eval_f1_weighted": 0.7545581478665218,
"eval_loss": 0.9904704093933105,
"eval_macro_fpr": 0.022368675533492623,
"eval_macro_sensitivity": 0.5653277909563001,
"eval_macro_specificity": 0.9821237739107975,
"eval_precision": 0.7656722240785093,
"eval_precision_macro": 0.5495765557734748,
"eval_recall": 0.7645236250968241,
"eval_recall_macro": 0.5653277909563001,
"eval_runtime": 80.7211,
"eval_samples_per_second": 15.993,
"eval_steps_per_second": 2.007,
"eval_weighted_fpr": 0.021526695935419914,
"eval_weighted_sensitivity": 0.7645236250968241,
"eval_weighted_specificity": 0.9673329835651372,
"step": 2572
},
{
"epoch": 4.67,
"grad_norm": 41.18514633178711,
"learning_rate": 3.447382063245205e-05,
"loss": 0.4521,
"step": 3000
},
{
"epoch": 5.0,
"eval_accuracy": 0.7900852052672347,
"eval_f1_macro": 0.6116525431724917,
"eval_f1_micro": 0.7900852052672347,
"eval_f1_weighted": 0.7794301250682801,
"eval_loss": 1.0259578227996826,
"eval_macro_fpr": 0.019043445988564375,
"eval_macro_sensitivity": 0.6315170743424566,
"eval_macro_specificity": 0.984305159354804,
"eval_precision": 0.7882093327742286,
"eval_precision_macro": 0.6420940275483907,
"eval_recall": 0.7900852052672347,
"eval_recall_macro": 0.6315170743424566,
"eval_runtime": 56.9964,
"eval_samples_per_second": 22.651,
"eval_steps_per_second": 2.842,
"eval_weighted_fpr": 0.018624149542986735,
"eval_weighted_sensitivity": 0.7900852052672347,
"eval_weighted_specificity": 0.9744921850548264,
"step": 3215
},
{
"epoch": 5.44,
"grad_norm": 92.02596282958984,
"learning_rate": 3.1881804043545884e-05,
"loss": 0.3466,
"step": 3500
},
{
"epoch": 6.0,
"eval_accuracy": 0.7869868319132456,
"eval_f1_macro": 0.6118575336738351,
"eval_f1_micro": 0.7869868319132455,
"eval_f1_weighted": 0.7889880056842663,
"eval_loss": 1.0384949445724487,
"eval_macro_fpr": 0.019220806323432427,
"eval_macro_sensitivity": 0.633518783056355,
"eval_macro_specificity": 0.984312476194111,
"eval_precision": 0.8134105657387156,
"eval_precision_macro": 0.6722188161248251,
"eval_recall": 0.7869868319132456,
"eval_recall_macro": 0.633518783056355,
"eval_runtime": 58.1615,
"eval_samples_per_second": 22.197,
"eval_steps_per_second": 2.785,
"eval_weighted_fpr": 0.018966825298296436,
"eval_weighted_sensitivity": 0.7869868319132456,
"eval_weighted_specificity": 0.9777003109984174,
"step": 3858
},
{
"epoch": 6.22,
"grad_norm": 80.3629379272461,
"learning_rate": 2.9294971487817523e-05,
"loss": 0.3321,
"step": 4000
},
{
"epoch": 7.0,
"grad_norm": 0.3377046585083008,
"learning_rate": 2.6702954898911353e-05,
"loss": 0.2333,
"step": 4500
},
{
"epoch": 7.0,
"eval_accuracy": 0.8117738187451587,
"eval_f1_macro": 0.665659747836216,
"eval_f1_micro": 0.8117738187451587,
"eval_f1_weighted": 0.8057624075524522,
"eval_loss": 1.1464879512786865,
"eval_macro_fpr": 0.01693769060060091,
"eval_macro_sensitivity": 0.6784424177464591,
"eval_macro_specificity": 0.9857572234742,
"eval_precision": 0.8064435087918365,
"eval_precision_macro": 0.6794791733053616,
"eval_recall": 0.8117738187451587,
"eval_recall_macro": 0.6784424177464591,
"eval_runtime": 54.6308,
"eval_samples_per_second": 23.631,
"eval_steps_per_second": 2.965,
"eval_weighted_fpr": 0.016292323164599398,
"eval_weighted_sensitivity": 0.8117738187451587,
"eval_weighted_specificity": 0.9745845333678407,
"step": 4501
},
{
"epoch": 7.78,
"grad_norm": 0.19802448153495789,
"learning_rate": 2.4110938310005186e-05,
"loss": 0.1658,
"step": 5000
},
{
"epoch": 8.0,
"eval_accuracy": 0.814872192099148,
"eval_f1_macro": 0.7328612504365998,
"eval_f1_micro": 0.814872192099148,
"eval_f1_weighted": 0.8120704640541792,
"eval_loss": 1.241939902305603,
"eval_macro_fpr": 0.016489901852411035,
"eval_macro_sensitivity": 0.7440371076362254,
"eval_macro_specificity": 0.9861286253461167,
"eval_precision": 0.8148683401292235,
"eval_precision_macro": 0.7318970148814324,
"eval_recall": 0.814872192099148,
"eval_recall_macro": 0.7440371076362254,
"eval_runtime": 57.719,
"eval_samples_per_second": 22.367,
"eval_steps_per_second": 2.807,
"eval_weighted_fpr": 0.015968463954032203,
"eval_weighted_sensitivity": 0.814872192099148,
"eval_weighted_specificity": 0.9770571880926026,
"step": 5144
},
{
"epoch": 8.55,
"grad_norm": 0.0870741754770279,
"learning_rate": 2.151892172109902e-05,
"loss": 0.1597,
"step": 5500
},
{
"epoch": 9.0,
"eval_accuracy": 0.8179705654531371,
"eval_f1_macro": 0.7804377723463752,
"eval_f1_micro": 0.817970565453137,
"eval_f1_weighted": 0.819003836369197,
"eval_loss": 1.3440543413162231,
"eval_macro_fpr": 0.015977205363795557,
"eval_macro_sensitivity": 0.770217713596195,
"eval_macro_specificity": 0.9863181364411756,
"eval_precision": 0.8259393911103454,
"eval_precision_macro": 0.8314287989687705,
"eval_recall": 0.8179705654531371,
"eval_recall_macro": 0.770217713596195,
"eval_runtime": 90.353,
"eval_samples_per_second": 14.288,
"eval_steps_per_second": 1.793,
"eval_weighted_fpr": 0.01564684732671949,
"eval_weighted_sensitivity": 0.8179705654531371,
"eval_weighted_specificity": 0.9768014811644973,
"step": 5787
},
{
"epoch": 9.33,
"grad_norm": 0.013821585103869438,
"learning_rate": 1.8926905132192844e-05,
"loss": 0.11,
"step": 6000
},
{
"epoch": 10.0,
"eval_accuracy": 0.8024786986831913,
"eval_f1_macro": 0.7500128517100584,
"eval_f1_micro": 0.8024786986831914,
"eval_f1_weighted": 0.8064576225913597,
"eval_loss": 1.3504691123962402,
"eval_macro_fpr": 0.01779575845463305,
"eval_macro_sensitivity": 0.765413440395755,
"eval_macro_specificity": 0.9852391037313044,
"eval_precision": 0.8152310151046661,
"eval_precision_macro": 0.7519799672719661,
"eval_recall": 0.8024786986831913,
"eval_recall_macro": 0.765413440395755,
"eval_runtime": 55.2658,
"eval_samples_per_second": 23.36,
"eval_steps_per_second": 2.931,
"eval_weighted_fpr": 0.017277593332881633,
"eval_weighted_sensitivity": 0.8024786986831913,
"eval_weighted_specificity": 0.9761078572863756,
"step": 6430
},
{
"epoch": 10.11,
"grad_norm": 0.009372069500386715,
"learning_rate": 1.6334888543286677e-05,
"loss": 0.0741,
"step": 6500
},
{
"epoch": 10.89,
"grad_norm": 0.017231620848178864,
"learning_rate": 1.374805598755832e-05,
"loss": 0.0747,
"step": 7000
},
{
"epoch": 11.0,
"eval_accuracy": 0.8280402788536019,
"eval_f1_macro": 0.7850116201409046,
"eval_f1_micro": 0.8280402788536019,
"eval_f1_weighted": 0.8252613057748646,
"eval_loss": 1.3682292699813843,
"eval_macro_fpr": 0.015248972295162136,
"eval_macro_sensitivity": 0.7819796586438489,
"eval_macro_specificity": 0.9869417363825405,
"eval_precision": 0.8277410447478016,
"eval_precision_macro": 0.8096252898700513,
"eval_recall": 0.8280402788536019,
"eval_recall_macro": 0.7819796586438489,
"eval_runtime": 58.5549,
"eval_samples_per_second": 22.048,
"eval_steps_per_second": 2.767,
"eval_weighted_fpr": 0.014616802739004477,
"eval_weighted_sensitivity": 0.8280402788536019,
"eval_weighted_specificity": 0.976085766884506,
"step": 7073
},
{
"epoch": 11.66,
"grad_norm": 0.039045702666044235,
"learning_rate": 1.1156039398652151e-05,
"loss": 0.0519,
"step": 7500
},
{
"epoch": 12.0,
"eval_accuracy": 0.8164213787761425,
"eval_f1_macro": 0.7698779986816631,
"eval_f1_micro": 0.8164213787761425,
"eval_f1_weighted": 0.8170206182613167,
"eval_loss": 1.4436842203140259,
"eval_macro_fpr": 0.016423979995821146,
"eval_macro_sensitivity": 0.7750707038634387,
"eval_macro_specificity": 0.9861294812620465,
"eval_precision": 0.8188455079677682,
"eval_precision_macro": 0.7730875104850559,
"eval_recall": 0.8164213787761425,
"eval_recall_macro": 0.7750707038634387,
"eval_runtime": 56.1974,
"eval_samples_per_second": 22.973,
"eval_steps_per_second": 2.883,
"eval_weighted_fpr": 0.01580737677582872,
"eval_weighted_sensitivity": 0.8164213787761425,
"eval_weighted_specificity": 0.9755208401545548,
"step": 7716
},
{
"epoch": 12.44,
"grad_norm": 220.98574829101562,
"learning_rate": 8.564022809745984e-06,
"loss": 0.0324,
"step": 8000
},
{
"epoch": 13.0,
"eval_accuracy": 0.8086754453911696,
"eval_f1_macro": 0.7637730945937946,
"eval_f1_micro": 0.8086754453911695,
"eval_f1_weighted": 0.8096616104204358,
"eval_loss": 1.4511244297027588,
"eval_macro_fpr": 0.017099071788154886,
"eval_macro_sensitivity": 0.7801835333077355,
"eval_macro_specificity": 0.9857069816183608,
"eval_precision": 0.8126700320980054,
"eval_precision_macro": 0.755164725157429,
"eval_recall": 0.8086754453911696,
"eval_recall_macro": 0.7801835333077355,
"eval_runtime": 62.3649,
"eval_samples_per_second": 20.701,
"eval_steps_per_second": 2.598,
"eval_weighted_fpr": 0.016618448496265894,
"eval_weighted_sensitivity": 0.8086754453911696,
"eval_weighted_specificity": 0.9769292788842445,
"step": 8359
},
{
"epoch": 13.22,
"grad_norm": 0.02690161019563675,
"learning_rate": 5.9720062208398135e-06,
"loss": 0.0349,
"step": 8500
},
{
"epoch": 14.0,
"grad_norm": 0.014679946005344391,
"learning_rate": 3.379989631933644e-06,
"loss": 0.0184,
"step": 9000
},
{
"epoch": 14.0,
"eval_accuracy": 0.8140975987606507,
"eval_f1_macro": 0.7681382733031227,
"eval_f1_micro": 0.8140975987606507,
"eval_f1_weighted": 0.8158709627059858,
"eval_loss": 1.5005292892456055,
"eval_macro_fpr": 0.016486730283890944,
"eval_macro_sensitivity": 0.7847943200142441,
"eval_macro_specificity": 0.9861151984488189,
"eval_precision": 0.8196264811835474,
"eval_precision_macro": 0.7613127212329543,
"eval_recall": 0.8140975987606507,
"eval_recall_macro": 0.7847943200142441,
"eval_runtime": 55.9241,
"eval_samples_per_second": 23.085,
"eval_steps_per_second": 2.897,
"eval_weighted_fpr": 0.016049217600641968,
"eval_weighted_sensitivity": 0.8140975987606507,
"eval_weighted_specificity": 0.9776303779716344,
"step": 9002
},
{
"epoch": 14.77,
"grad_norm": 0.007979592308402061,
"learning_rate": 7.931570762052877e-07,
"loss": 0.0137,
"step": 9500
},
{
"epoch": 15.0,
"eval_accuracy": 0.8164213787761425,
"eval_f1_macro": 0.7664691580433438,
"eval_f1_micro": 0.8164213787761425,
"eval_f1_weighted": 0.8173112279420088,
"eval_loss": 1.4994738101959229,
"eval_macro_fpr": 0.01630779929417336,
"eval_macro_sensitivity": 0.777963226880043,
"eval_macro_specificity": 0.9862332623102597,
"eval_precision": 0.8193184364806528,
"eval_precision_macro": 0.7619970590670772,
"eval_recall": 0.8164213787761425,
"eval_recall_macro": 0.777963226880043,
"eval_runtime": 61.5289,
"eval_samples_per_second": 20.982,
"eval_steps_per_second": 2.633,
"eval_weighted_fpr": 0.01580737677582872,
"eval_weighted_sensitivity": 0.8164213787761425,
"eval_weighted_specificity": 0.9770775558777535,
"step": 9645
}
],
"logging_steps": 500,
"max_steps": 9645,
"num_input_tokens_seen": 0,
"num_train_epochs": 15,
"save_steps": 500,
"total_flos": 2.028033591671808e+16,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}