---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: ModernBERT-base-ft-fineweb-edu-annotations
  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-base-ft-fineweb-edu-annotations

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: 1.1047
- F1 Score: 0.7565
- Precision Score: 0.7603
- Recall Score: 0.7545

## 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1 Score | Precision Score | Recall Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------------:|:------------:|
| 0.6283        | 1.0   | 11686 | 0.5695          | 0.7615   | 0.7666          | 0.7587       |
| 0.4154        | 2.0   | 23372 | 0.5917          | 0.7749   | 0.7840          | 0.7705       |
| 0.1468        | 3.0   | 35058 | 1.1047          | 0.7565   | 0.7603          | 0.7545       |


### Framework versions

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