---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ModernBERT-domain-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ModernBERT-domain-classifier

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2957
- F1: 0.8796

## 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: 16
- 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 29   | 0.6364          | 0.8198 |
| No log        | 2.0   | 58   | 0.4407          | 0.8255 |
| No log        | 3.0   | 87   | 0.3492          | 0.8516 |
| 0.851         | 4.0   | 116  | 0.2348          | 0.9161 |
| 0.851         | 5.0   | 145  | 0.2957          | 0.8796 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0