---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: afr-modernbert-focal-lr-3e-5
  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. -->

# afr-modernbert-focal-lr-3e-5

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: 12.1927
- F1-micro: 0.4147
- F1-macro: 0.2326

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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
- lr_scheduler_warmup_steps: 24
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 31.575        | 1.0   | 62   | 10.4705         | 0.3622   | 0.2248   |
| 28.2222       | 2.0   | 124  | 10.9311         | 0.3798   | 0.2232   |
| 24.2743       | 3.0   | 186  | 11.5433         | 0.4336   | 0.2411   |
| 21.2132       | 4.0   | 248  | 12.1927         | 0.4147   | 0.2326   |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0