Training set class counts after balancing:
_Borderline       10398
_Anxiety          10393
_Depression       10400
_Bipolar          10359
_OCD              10413
_ADHD             10412
_Schizophrenia    10447
_Asperger         10470
_PTSD             10489
dtype: object
Validation set class counts after balancing:
_Borderline       1180
_Anxiety          1185
_Depression       1178
_Bipolar          1219
_OCD              1165
_ADHD             1166
_Schizophrenia    1131
_Asperger         1108
_PTSD             1089
dtype: object
Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert/distilbert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight', 'pre_classifier.bias', 'pre_classifier.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Epoch 1, Train Loss: 0.2660, Val Loss: 0.2032
Epoch 2, Train Loss: 0.1891, Val Loss: 0.1873
F1 Score on Validation Set: 0.6356
AUC Score on Validation Set: 0.7643


Classification Report, AUC Score, F1 Score, and Losses

Train Losses: [0.2660091122228647, 0.18910447711386752]
Validation Losses: [0.20317846728614503, 0.18728890073445678]
F1 Score: [0.6355810277640191]
AUC Score: [0.7642971226283637]
Classification Report:
_Borderline:
 Precision: 0.7606837606837606
 Recall: 0.45254237288135596
 F1-score: 0.5674814027630181
_Anxiety:
 Precision: 0.7063318777292577
 Recall: 0.5459915611814345
 F1-score: 0.6158971918134221
_Depression:
 Precision: 0.7286096256684492
 Recall: 0.4626485568760611
 F1-score: 0.5659397715472482
_Bipolar:
 Precision: 0.7997076023391813
 Recall: 0.44872846595570137
 F1-score: 0.5748817656332107
_OCD:
 Precision: 0.8222748815165877
 Recall: 0.5957081545064378
 F1-score: 0.6908909905425585
_ADHD:
 Precision: 0.8856382978723404
 Recall: 0.5711835334476844
 F1-score: 0.6944734098018769
_Schizophrenia:
 Precision: 0.7540628385698809
 Recall: 0.6153846153846154
 F1-score: 0.6777020447906524
_Asperger:
 Precision: 0.6743515850144092
 Recall: 0.6335740072202166
 F1-score: 0.6533271288971615
_PTSD:
 Precision: 0.7724687144482366
 Recall: 0.6235078053259872
 F1-score: 0.6900406504065041