---
library_name: transformers
base_model: tbs17/MathBERT
tags:
- generated_from_trainer
model-index:
- name: tbs17-MathBERT-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. -->

# tbs17-MathBERT-Math-Classifier

This model is a fine-tuned version of [tbs17/MathBERT](https://huggingface.co/tbs17/MathBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9498
- Micro F1: 0.8411

## 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=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Micro F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2886        | 1.0   | 1083 | 0.8944          | 0.8051   |
| 0.8314        | 2.0   | 2166 | 0.8812          | 0.8182   |
| 0.6888        | 3.0   | 3249 | 0.8701          | 0.8411   |
| 0.5976        | 4.0   | 4332 | 0.9158          | 0.8352   |
| 0.5409        | 5.0   | 5415 | 0.9440          | 0.8332   |
| 0.5081        | 6.0   | 6498 | 0.9423          | 0.8424   |
| 0.4912        | 7.0   | 7581 | 0.9543          | 0.8417   |
| 0.4855        | 8.0   | 8664 | 0.9498          | 0.8411   |


### Framework versions

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