---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: complexity-router-weighted-upsampled
  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. -->

# complexity-router-weighted-upsampled

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: 0.4383
- Accuracy: 0.6830
- F1: 0.6925
- High To Low Error: 35.9974

## 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: 0.0002
- train_batch_size: 128
- eval_batch_size: 128
- 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_ratio: 0.01
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | High To Low Error |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-----------------:|
| 0.2266        | 1.0   | 485  | 0.2955          | 0.6159   | 0.6291 | 22.0608           |
| 0.1953        | 2.0   | 970  | 0.3130          | 0.6271   | 0.6408 | 24.0423           |
| 0.1609        | 3.0   | 1455 | 0.4383          | 0.6830   | 0.6925 | 35.9974           |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0