---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: starclass_modernbert
  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. -->

# starclass_modernbert

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2026
- Accuracy: 0.9524
- Precision: 0.9545
- Recall: 0.9524
- F1: 0.9529

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 1.0385        | 1.0   | 16   | 0.2928          | 0.9048   | 0.9188    | 0.9048 | 0.9057 |
| 0.1931        | 2.0   | 32   | 0.1816          | 0.9206   | 0.9284    | 0.9206 | 0.9222 |
| 0.0984        | 3.0   | 48   | 0.2056          | 0.9365   | 0.9384    | 0.9365 | 0.9370 |
| 0.0027        | 4.0   | 64   | 0.1988          | 0.9524   | 0.9545    | 0.9524 | 0.9529 |
| 0.0003        | 5.0   | 80   | 0.2026          | 0.9524   | 0.9545    | 0.9524 | 0.9529 |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0