Upload folder using huggingface_hub

training_checkpoints/checkpoint-1344/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c430c4d9702a4baeddeda050750525b96e67993b8d70503cb410e99320c4837e
+oid sha256:67e50219101fbea3214dc9145442b79a48812f4963baedfc9291fea52ef51357
 size 263153912

training_checkpoints/checkpoint-1344/optimizer.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:734af6d9db80f4a6443e449bc11d79d50c0dae777c6d736264f6472948e95e62
+oid sha256:d1d97977ce160bcbb3e666517f9e5421c05f6ae11b442586ece81bdfa3fcf925
 size 526369978

training_checkpoints/checkpoint-1344/scheduler.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dad5f7ec57203a8e28a98d2deddbfa247195c6ec01360dd1d5e15f1d4acae5f3
+oid sha256:edb0cda888f21bb982e8535b7efa97ccc6b83590128f4f956d586c2cf11bf6a9
 size 1064

training_checkpoints/checkpoint-1344/trainer_state.json

@@ -1,6 +1,6 @@
 {
-  "best_metric": 0.6190547468267676,
-  "best_model_checkpoint": "case-analysis-distilbert-base-cased/checkpoint-1344",
+  "best_metric": 0.6301119928151375,
+  "best_model_checkpoint": "case-analysis-distilbert-base-cased/checkpoint-896",
   "epoch": 6.0,
   "eval_steps": 500,
   "global_step": 1344,
@@ -10,148 +10,148 @@
   "log_history": [
     {
       "epoch": 1.0,
-      "eval_accuracy": 0.7683741648106904,
-      "eval_f1_macro": 0.5345911091709411,
-      "eval_f1_micro": 0.7683741648106904,
-      "eval_f1_weighted": 0.7419347573003691,
-      "eval_loss": 0.6746780872344971,
-      "eval_macro_fpr": 0.12600030005040652,
-      "eval_macro_sensitivity": 0.5319427525309879,
-      "eval_macro_specificity": 0.8890561890350515,
-      "eval_precision": 0.723734857424959,
-      "eval_precision_macro": 0.5435421823199279,
-      "eval_recall": 0.7683741648106904,
-      "eval_recall_macro": 0.5319427525309879,
-      "eval_runtime": 5.5739,
-      "eval_samples_per_second": 80.554,
-      "eval_steps_per_second": 10.226,
-      "eval_weighted_fpr": 0.0913081650570676,
-      "eval_weighted_sensitivity": 0.7683741648106904,
-      "eval_weighted_specificity": 0.7878505913295152,
+      "eval_accuracy": 0.7661469933184856,
+      "eval_f1_macro": 0.5270352134866867,
+      "eval_f1_micro": 0.7661469933184856,
+      "eval_f1_weighted": 0.7333313004442764,
+      "eval_loss": 0.7000867128372192,
+      "eval_macro_fpr": 0.1330263157894737,
+      "eval_macro_sensitivity": 0.5137440725676019,
+      "eval_macro_specificity": 0.8818942592408516,
+      "eval_precision": 0.7310834070149471,
+      "eval_precision_macro": 0.5790641299401408,
+      "eval_recall": 0.7661469933184856,
+      "eval_recall_macro": 0.5137440725676019,
+      "eval_runtime": 5.4998,
+      "eval_samples_per_second": 81.639,
+      "eval_steps_per_second": 10.364,
+      "eval_weighted_fpr": 0.09234828496042216,
+      "eval_weighted_sensitivity": 0.7661469933184856,
+      "eval_weighted_specificity": 0.761430043644921,
       "step": 224
     },
     {
       "epoch": 2.0,
-      "eval_accuracy": 0.8151447661469933,
-      "eval_f1_macro": 0.6006365232660228,
-      "eval_f1_micro": 0.8151447661469933,
-      "eval_f1_weighted": 0.7944989450754872,
-      "eval_loss": 0.6685805916786194,
-      "eval_macro_fpr": 0.09260504201680672,
-      "eval_macro_sensitivity": 0.6135692606280841,
-      "eval_macro_specificity": 0.9160924396038365,
-      "eval_precision": 0.775170081701242,
-      "eval_precision_macro": 0.5885022601098201,
-      "eval_recall": 0.8151447661469933,
-      "eval_recall_macro": 0.6135692606280841,
-      "eval_runtime": 22.918,
-      "eval_samples_per_second": 19.592,
-      "eval_steps_per_second": 2.487,
-      "eval_weighted_fpr": 0.07027942421676546,
-      "eval_weighted_sensitivity": 0.8151447661469933,
-      "eval_weighted_specificity": 0.8492249922683526,
+      "eval_accuracy": 0.7750556792873051,
+      "eval_f1_macro": 0.5486718521990608,
+      "eval_f1_micro": 0.775055679287305,
+      "eval_f1_weighted": 0.7492575717498114,
+      "eval_loss": 0.7387592792510986,
+      "eval_macro_fpr": 0.12078200823200373,
+      "eval_macro_sensitivity": 0.5464266787796199,
+      "eval_macro_specificity": 0.8914743027952345,
+      "eval_precision": 0.7315284458297402,
+      "eval_precision_macro": 0.5585311316366537,
+      "eval_recall": 0.7750556792873051,
+      "eval_recall_macro": 0.5464266787796199,
+      "eval_runtime": 23.5227,
+      "eval_samples_per_second": 19.088,
+      "eval_steps_per_second": 2.423,
+      "eval_weighted_fpr": 0.08820960698689956,
+      "eval_weighted_sensitivity": 0.7750556792873051,
+      "eval_weighted_specificity": 0.7908415318936333,
       "step": 448
     },
     {
       "epoch": 2.232142857142857,
-      "grad_norm": 15.72251033782959,
-      "learning_rate": 4.6302083333333335e-05,
-      "loss": 0.6982,
+      "grad_norm": 22.91168785095215,
+      "learning_rate": 4.629464285714286e-05,
+      "loss": 0.7066,
       "step": 500
     },
     {
       "epoch": 3.0,
-      "eval_accuracy": 0.8106904231625836,
-      "eval_f1_macro": 0.5965678894021851,
-      "eval_f1_micro": 0.8106904231625834,
-      "eval_f1_weighted": 0.789500666861841,
-      "eval_loss": 0.7899503111839294,
-      "eval_macro_fpr": 0.09825302902225978,
-      "eval_macro_sensitivity": 0.6052493478964067,
-      "eval_macro_specificity": 0.910687377505773,
-      "eval_precision": 0.7758060756348297,
-      "eval_precision_macro": 0.5947486579771227,
-      "eval_recall": 0.8106904231625836,
-      "eval_recall_macro": 0.6052493478964067,
-      "eval_runtime": 22.9183,
-      "eval_samples_per_second": 19.591,
-      "eval_steps_per_second": 2.487,
-      "eval_weighted_fpr": 0.07221750212404418,
-      "eval_weighted_sensitivity": 0.8106904231625836,
-      "eval_weighted_specificity": 0.8320590868605084,
+      "eval_accuracy": 0.8017817371937639,
+      "eval_f1_macro": 0.576677451756589,
+      "eval_f1_micro": 0.8017817371937639,
+      "eval_f1_weighted": 0.7759761601356532,
+      "eval_loss": 0.7228724956512451,
+      "eval_macro_fpr": 0.10757194512338594,
+      "eval_macro_sensitivity": 0.5707859310800487,
+      "eval_macro_specificity": 0.9026901603449184,
+      "eval_precision": 0.7604834726234316,
+      "eval_precision_macro": 0.5932281353135314,
+      "eval_recall": 0.8017817371937639,
+      "eval_recall_macro": 0.5707859310800487,
+      "eval_runtime": 17.5142,
+      "eval_samples_per_second": 25.636,
+      "eval_steps_per_second": 3.254,
+      "eval_weighted_fpr": 0.07613344739093242,
+      "eval_weighted_sensitivity": 0.8017817371937639,
+      "eval_weighted_specificity": 0.8089789041859096,
       "step": 672
     },
     {
       "epoch": 4.0,
-      "eval_accuracy": 0.8129175946547884,
-      "eval_f1_macro": 0.6024092775980217,
-      "eval_f1_micro": 0.8129175946547884,
-      "eval_f1_weighted": 0.7934058050292863,
-      "eval_loss": 0.8377446532249451,
-      "eval_macro_fpr": 0.10023342701741786,
-      "eval_macro_sensitivity": 0.5950729186023304,
-      "eval_macro_specificity": 0.9076308769469239,
-      "eval_precision": 0.7822520571931126,
-      "eval_precision_macro": 0.6157741567498898,
-      "eval_recall": 0.8129175946547884,
-      "eval_recall_macro": 0.5950729186023304,
-      "eval_runtime": 23.0602,
-      "eval_samples_per_second": 19.471,
-      "eval_steps_per_second": 2.472,
-      "eval_weighted_fpr": 0.07124681933842239,
-      "eval_weighted_sensitivity": 0.8129175946547884,
-      "eval_weighted_specificity": 0.8176059131329072,
+      "eval_accuracy": 0.8062360801781737,
+      "eval_f1_macro": 0.6301119928151375,
+      "eval_f1_micro": 0.8062360801781738,
+      "eval_f1_weighted": 0.7933630533945198,
+      "eval_loss": 0.8331468105316162,
+      "eval_macro_fpr": 0.10175133159747105,
+      "eval_macro_sensitivity": 0.6114882070764424,
+      "eval_macro_specificity": 0.9069973738423197,
+      "eval_precision": 0.7896315051078991,
+      "eval_precision_macro": 0.6674639062867935,
+      "eval_recall": 0.8062360801781737,
+      "eval_recall_macro": 0.6114882070764424,
+      "eval_runtime": 17.9901,
+      "eval_samples_per_second": 24.958,
+      "eval_steps_per_second": 3.168,
+      "eval_weighted_fpr": 0.0741687979539642,
+      "eval_weighted_sensitivity": 0.8062360801781737,
+      "eval_weighted_specificity": 0.8217534151911048,
       "step": 896
     },
     {
       "epoch": 4.464285714285714,
-      "grad_norm": 3.802079200744629,
-      "learning_rate": 4.259672619047619e-05,
-      "loss": 0.3797,
+      "grad_norm": 0.23617026209831238,
+      "learning_rate": 4.258184523809524e-05,
+      "loss": 0.3654,
       "step": 1000
     },
     {
       "epoch": 5.0,
-      "eval_accuracy": 0.8195991091314031,
-      "eval_f1_macro": 0.6096395609968126,
-      "eval_f1_micro": 0.8195991091314031,
-      "eval_f1_weighted": 0.8009201487061303,
-      "eval_loss": 0.9637371897697449,
-      "eval_macro_fpr": 0.09298523725810875,
-      "eval_macro_sensitivity": 0.6097056758821464,
-      "eval_macro_specificity": 0.9156101048565789,
-      "eval_precision": 0.7852664668210015,
-      "eval_precision_macro": 0.6117719622096018,
-      "eval_recall": 0.8195991091314031,
-      "eval_recall_macro": 0.6097056758821464,
-      "eval_runtime": 24.1336,
-      "eval_samples_per_second": 18.605,
-      "eval_steps_per_second": 2.362,
-      "eval_weighted_fpr": 0.06835443037974684,
-      "eval_weighted_sensitivity": 0.8195991091314031,
-      "eval_weighted_specificity": 0.8428413102949123,
+      "eval_accuracy": 0.7683741648106904,
+      "eval_f1_macro": 0.5896043825978781,
+      "eval_f1_micro": 0.7683741648106904,
+      "eval_f1_weighted": 0.7610828501277613,
+      "eval_loss": 1.2299734354019165,
+      "eval_macro_fpr": 0.10662840460883276,
+      "eval_macro_sensitivity": 0.6130556645262528,
+      "eval_macro_specificity": 0.9056447032260023,
+      "eval_precision": 0.7698582566254396,
+      "eval_precision_macro": 0.6085394130060126,
+      "eval_recall": 0.7683741648106904,
+      "eval_recall_macro": 0.6130556645262528,
+      "eval_runtime": 19.5517,
+      "eval_samples_per_second": 22.965,
+      "eval_steps_per_second": 2.915,
+      "eval_weighted_fpr": 0.0913081650570676,
+      "eval_weighted_sensitivity": 0.7683741648106904,
+      "eval_weighted_specificity": 0.8542046480933186,
       "step": 1120
     },
     {
       "epoch": 6.0,
-      "eval_accuracy": 0.799554565701559,
-      "eval_f1_macro": 0.6190547468267676,
-      "eval_f1_micro": 0.799554565701559,
-      "eval_f1_weighted": 0.8002581826434487,
-      "eval_loss": 1.0848541259765625,
-      "eval_macro_fpr": 0.09461858568722545,
-      "eval_macro_sensitivity": 0.6154274977804389,
-      "eval_macro_specificity": 0.9173876054987379,
-      "eval_precision": 0.8024626803020691,
-      "eval_precision_macro": 0.6242875164499879,
-      "eval_recall": 0.799554565701559,
-      "eval_recall_macro": 0.6154274977804389,
-      "eval_runtime": 26.5504,
-      "eval_samples_per_second": 16.911,
-      "eval_steps_per_second": 2.147,
-      "eval_weighted_fpr": 0.07712082262210797,
-      "eval_weighted_sensitivity": 0.799554565701559,
-      "eval_weighted_specificity": 0.8699958562933927,
+      "eval_accuracy": 0.8129175946547884,
+      "eval_f1_macro": 0.6299577384875399,
+      "eval_f1_micro": 0.8129175946547884,
+      "eval_f1_weighted": 0.7972266629935387,
+      "eval_loss": 1.0698440074920654,
+      "eval_macro_fpr": 0.09572659519735909,
+      "eval_macro_sensitivity": 0.6152769461592991,
+      "eval_macro_specificity": 0.9133810019905357,
+      "eval_precision": 0.7940368363876591,
+      "eval_precision_macro": 0.6863588955891834,
+      "eval_recall": 0.8129175946547884,
+      "eval_recall_macro": 0.6152769461592991,
+      "eval_runtime": 21.7346,
+      "eval_samples_per_second": 20.658,
+      "eval_steps_per_second": 2.623,
+      "eval_weighted_fpr": 0.07124681933842239,
+      "eval_weighted_sensitivity": 0.8129175946547884,
+      "eval_weighted_specificity": 0.8406064133073544,
       "step": 1344
     }
   ],

training_checkpoints/checkpoint-1344/training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e69a367f465c21d14de763eeb210a4f6dfdc2d5d36a7fd05f0a714a904e7ac23
+oid sha256:3168244efe16c0aeafe631cea29ca8c9c2bbb665a169c0d40c2e4d22eaca40d9
 size 5048