metadata

library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
  - generated_from_trainer
model-index:
  - name: ModernBERT-base-ft-fineweb-edu-annotations-8k
    results: []

ModernBERT-base-ft-fineweb-edu-annotations-8k

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

Loss: 1.1265
F1 Score: 0.7508
Precision Score: 0.7556
Recall Score: 0.7485

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: 32
eval_batch_size: 32
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
0.6615	1.0	6374	0.5893	0.7574	0.7746	0.7510
0.4344	2.0	12748	0.6108	0.7600	0.7644	0.7572
0.149	3.0	19122	1.1265	0.7508	0.7556	0.7485

Framework versions

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