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---
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
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