---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: modernbert-tr-classifier
  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-tr-classifier

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: 0.8455
- F1: 0.8730
- Accuracy: 0.8735

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 1.3023        | 1.0   | 146  | 1.0178          | 0.7250 | 0.7184   |
| 0.5327        | 2.0   | 292  | 0.5449          | 0.8415 | 0.8408   |
| 0.2336        | 3.0   | 438  | 0.5080          | 0.8685 | 0.8694   |
| 0.1116        | 4.0   | 584  | 0.6585          | 0.8489 | 0.8490   |
| 0.0399        | 5.0   | 730  | 1.0568          | 0.8415 | 0.8408   |
| 0.0137        | 6.0   | 876  | 0.9445          | 0.8526 | 0.8531   |
| 0.0074        | 7.0   | 1022 | 0.8898          | 0.8656 | 0.8653   |
| 0.0022        | 8.0   | 1168 | 0.8455          | 0.8730 | 0.8735   |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.21.0