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

# category-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: 1.6971
- F1: 0.7660
- Accuracy: 0.7704
- F1 Ai: 0.6670
- F1 Programming: 0.6985
- F1 Science & engineering: 0.7482
- F1 Tech: 0.4973
- F1 Rejected: 0.8520

## 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: 10
- eval_batch_size: 5
- 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
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     | Accuracy | F1 Ai  | F1 Programming | F1 Science & engineering | F1 Tech | F1 Rejected |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:------:|:--------------:|:------------------------:|:-------:|:-----------:|
| 0.5809        | 1.0   | 3361  | 0.5636          | 0.7738 | 0.7779   | 0.6961 | 0.7271         | 0.7535                   | 0.5003  | 0.8534      |
| 0.3134        | 2.0   | 6722  | 0.6732          | 0.7776 | 0.7798   | 0.6933 | 0.7175         | 0.7577                   | 0.5315  | 0.8555      |
| 0.3467        | 3.0   | 10083 | 1.6971          | 0.7660 | 0.7704   | 0.6670 | 0.6985         | 0.7482                   | 0.4973  | 0.8520      |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.2.2
- Datasets 3.1.0
- Tokenizers 0.21.0