This model is a course artifact for
ECBS5200: Practical Deep Learning Engineering at Central European University, Vienna.
A fine-tuned
ModernBERT-base for 113-class consumer complaint classification (CFPB dataset). It was trained with a specific configuration as part of a diagnostic lab exercise.
Students receive four models (alpha, bravo, charlie, delta) and must determine what training configuration produced each one by examining metrics, training curves, and per-class performance. The configurations are intentionally not disclosed here.
1from transformers import AutoModelForSequenceClassification, AutoTokenizer
2
3model = AutoModelForSequenceClassification.from_pretrained("earino/ecbs5200-week2-alpha")
4tokenizer = AutoTokenizer.from_pretrained("earino/ecbs5200-week2-alpha")
This model was trained for educational purposes. It is one of four models in a diagnostic exercise and may not represent optimal performance on this task.
