metadata

library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
  - generated_from_trainer
model-index:
  - name: ModernBERT_qnli
    results: []
datasets:
  - nyu-mll/glue
language:
  - en
metrics:
  - accuracy
pipeline_tag: text-classification

ModernBERT_qnli

This model is a fine-tuned version of answerdotai/ModernBERT-base on GLUE/QNLI dataset. It achieves the following results on the evaluation set:

Loss: 0.2094
Accuracy Score: 0.9325

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 OptimizerNames.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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Score
0.2794	1.0	3274	0.1853	0.9268
0.1024	2.0	6548	0.2094	0.9325

Framework versions

Transformers 4.49.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0