---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ModernBERT-base-reference_AllLang-Cefr
  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-reference_AllLang-Cefr

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: 1.1824
- F1: 0.7843

## 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: 3.6e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 48
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 10.8537       | 1.0   | 777  | 1.1931          | 0.4316 |
| 10.762        | 2.0   | 1554 | 1.0830          | 0.5537 |
| 7.9383        | 3.0   | 2331 | 1.0143          | 0.7206 |
| 6.7542        | 4.0   | 3108 | 0.8811          | 0.7609 |
| 2.4367        | 5.0   | 3885 | 0.8766          | 0.8086 |
| 2.2561        | 6.0   | 4662 | 0.9095          | 0.8237 |
| 1.5476        | 7.0   | 5439 | 1.1254          | 0.8033 |
| 1.1745        | 8.0   | 6216 | 1.2081          | 0.7783 |
| 0.9897        | 9.0   | 6993 | 1.0684          | 0.7855 |
| 0.8243        | 10.0  | 7770 | 1.1824          | 0.7843 |


### Framework versions

- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2