---
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
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ModernBERT_qnli

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/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