metadata

library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
  - generated_from_trainer
model-index:
  - name: ModernBERT-large-ft-fineweb-edu-annotations
    results: []

ModernBERT-large-ft-fineweb-edu-annotations

This model is a fine-tuned version of answerdotai/ModernBERT-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1702
F1 Score: 0.7571
Precision Score: 0.7609
Recall Score: 0.7554

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 8e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Score	Precision Score	Recall Score
0.643	1.0	15581	0.5972	0.7481	0.7521	0.7463
0.4219	2.0	31162	0.5946	0.7729	0.7846	0.7680
0.1447	3.0	46743	1.1702	0.7571	0.7609	0.7554

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0