---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ModernBERT-large-FT
  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-large-FT

This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5883
- Accuracy: 0.8958
- F1: 0.8910

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.8974        | 1.0   | 477  | 0.2649          | 0.9368   | 0.9359 |
| 0.1073        | 2.0   | 954  | 0.2305          | 0.9558   | 0.9557 |
| 0.0481        | 3.0   | 1431 | 0.2310          | 0.9610   | 0.9602 |
| 0.022         | 4.0   | 1908 | 0.1921          | 0.9645   | 0.9641 |
| 0.007         | 5.0   | 2385 | 0.1973          | 0.9684   | 0.9678 |
| 0.0072        | 6.0   | 2862 | 0.1938          | 0.9697   | 0.9694 |
| 0.006         | 7.0   | 3339 | 0.1998          | 0.97     | 0.9696 |
| 0.002         | 8.0   | 3816 | 0.2106          | 0.9658   | 0.9654 |
| 0.0007        | 9.0   | 4293 | 0.2084          | 0.9665   | 0.9661 |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1