---
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: exp_acha_mluke_base_again
  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. -->

# exp_acha_mluke_base_again

This model is a fine-tuned version of [studio-ousia/mluke-base](https://huggingface.co/studio-ousia/mluke-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1684

## 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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4203        | 1.0   | 208  | 0.4335          |
| 0.4144        | 2.0   | 416  | 0.2626          |
| 0.2435        | 3.0   | 624  | 0.2097          |
| 0.1661        | 4.0   | 832  | 0.2061          |
| 0.1921        | 5.0   | 1040 | 0.2021          |
| 0.115         | 6.0   | 1248 | 0.1835          |
| 0.1205        | 7.0   | 1456 | 0.1695          |
| 0.0198        | 8.0   | 1664 | 0.1703          |
| 0.0267        | 9.0   | 1872 | 0.1640          |
| 0.145         | 10.0  | 2080 | 0.1684          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1