Text Classification
Transformers
Safetensors
English
modernbert
reasoning
complexity
education
regression
fineweb-edu
text-embeddings-inference
Instructions to use mdonigian/fineweb-edu-complexity-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdonigian/fineweb-edu-complexity-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mdonigian/fineweb-edu-complexity-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mdonigian/fineweb-edu-complexity-classifier") model = AutoModelForSequenceClassification.from_pretrained("mdonigian/fineweb-edu-complexity-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| epoch,train_loss,val_loss,val_mse,val_mae,val_rounded_accuracy,val_spearman_r,val_spearman_p | |
| 1,0.6002174415985266,0.43747789969444273,0.4375132918357849,0.5190353393554688,0.569827931172469,0.753292300670069,0.0 | |
| 2,0.36308814424510094,0.4256944422721863,0.4257122874259949,0.5039699673652649,0.5843337334933973,0.7597330688468571,0.0 | |
| 3,0.20402248398441464,0.4481677495956421,0.44814532995224,0.5114268660545349,0.5819327731092437,0.7485410426616236,0.0 | |