---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: modernBERT-Math-Classifier
  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-Math-Classifier

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: 0.8325
- Micro F1: 0.8502

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Micro F1 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3184        | 1.0   | 1083  | 0.9248          | 0.7986   |
| 0.858         | 2.0   | 2166  | 0.8338          | 0.8424   |
| 0.6955        | 3.0   | 3249  | 0.8040          | 0.8561   |
| 0.5752        | 4.0   | 4332  | 0.8284          | 0.8463   |
| 0.5152        | 5.0   | 5415  | 0.8289          | 0.8502   |
| 0.4921        | 6.0   | 6498  | 0.8361          | 0.8424   |
| 0.4807        | 7.0   | 7581  | 0.8297          | 0.8502   |
| 0.4752        | 8.0   | 8664  | 0.8271          | 0.8561   |
| 0.4717        | 9.0   | 9747  | 0.8349          | 0.8476   |
| 0.4696        | 10.0  | 10830 | 0.8325          | 0.8502   |


### Framework versions

- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0