---
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
  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

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: 4.0259
- Accuracy: 0.8135
- F1: 0.8036
- High To Low Error: 64.5497

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | High To Low Error |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-----------------:|
| 0.5968        | 1.0   | 346  | 0.5067          | 0.8050   | 0.8055 | 54.7344           |
| 0.4356        | 2.0   | 692  | 0.5328          | 0.7973   | 0.8042 | 47.6905           |
| 0.2555        | 3.0   | 1038 | 0.6893          | 0.7971   | 0.8032 | 48.9607           |
| 0.1651        | 4.0   | 1384 | 0.8980          | 0.8127   | 0.8071 | 60.1617           |
| 0.132         | 5.0   | 1730 | 0.9915          | 0.8085   | 0.8051 | 58.6605           |
| 0.0706        | 6.0   | 2076 | 1.4578          | 0.8146   | 0.8078 | 60.9700           |
| 0.0535        | 7.0   | 2422 | 2.1353          | 0.8139   | 0.8083 | 59.8152           |
| 0.0371        | 8.0   | 2768 | 2.3199          | 0.8239   | 0.8048 | 70.5543           |
| 0.042         | 9.0   | 3114 | 2.6879          | 0.8111   | 0.8048 | 61.3164           |
| 0.0105        | 10.0  | 3460 | 4.0259          | 0.8135   | 0.8036 | 64.5497           |


### Framework versions

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