---
library_name: transformers
license: mit
base_model: sbintuitions/modernbert-ja-130m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: YataGarasu-TextClassification
  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. -->

# YataGarasu-TextClassification

This model is a fine-tuned version of [sbintuitions/modernbert-ja-130m](https://huggingface.co/sbintuitions/modernbert-ja-130m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1625
- Accuracy: 0.9711

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4418        | 1.0   | 546  | 0.1727          | 0.9577   |
| 0.0901        | 2.0   | 1092 | 0.1625          | 0.9711   |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2