---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- pearsonr
- spearmanr
model-index:
- name: ModernBERT-ft-stsb
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ModernBERT-ft-stsb

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4316
- Pearsonr: 0.8992
- Spearmanr: 0.8980

## 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: 128
- eval_batch_size: 128
- 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearsonr | Spearmanr |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|
| 1.1095        | 1.0   | 45   | 0.5094          | 0.8845   | 0.8844    |
| 0.35          | 2.0   | 90   | 0.4679          | 0.8957   | 0.8935    |
| 0.1817        | 3.0   | 135  | 0.4329          | 0.8997   | 0.8984    |
| 0.0921        | 4.0   | 180  | 0.4316          | 0.8992   | 0.8980    |


### Framework versions

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