---
library_name: transformers
license: apache-2.0
base_model: ayakiri/sentence-correction
tags:
- generated_from_trainer
model-index:
- name: sentence-correction
  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. -->

# sentence-correction

This model is a fine-tuned version of [ayakiri/sentence-correction](https://huggingface.co/ayakiri/sentence-correction) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6802

## 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: 8
- eval_batch_size: 8
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 374  | 0.6624          |
| 0.4455        | 2.0   | 748  | 0.6696          |
| 0.4284        | 3.0   | 1122 | 0.6677          |
| 0.4284        | 4.0   | 1496 | 0.6674          |
| 0.4049        | 5.0   | 1870 | 0.6714          |
| 0.3958        | 6.0   | 2244 | 0.6759          |
| 0.3905        | 7.0   | 2618 | 0.6770          |
| 0.3905        | 8.0   | 2992 | 0.6784          |
| 0.3825        | 9.0   | 3366 | 0.6785          |
| 0.3808        | 10.0  | 3740 | 0.6802          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0