---
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: exp_acha_mluke_base_last
  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_last

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: 0.2625

## 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-06
- train_batch_size: 20
- 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: 0.45
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6813        | 1.0   | 167  | 0.6868          |
| 0.6414        | 2.0   | 334  | 0.6080          |
| 0.5949        | 3.0   | 501  | 0.5543          |
| 0.5828        | 4.0   | 668  | 0.5174          |
| 0.5562        | 5.0   | 835  | 0.4876          |
| 0.4159        | 6.0   | 1002 | 0.4337          |
| 0.4039        | 7.0   | 1169 | 0.3666          |
| 0.3607        | 8.0   | 1336 | 0.3284          |
| 0.3763        | 9.0   | 1503 | 0.2964          |
| 0.3379        | 10.0  | 1670 | 0.2744          |
| 0.3169        | 11.0  | 1837 | 0.2677          |
| 0.2445        | 12.0  | 2004 | 0.2656          |
| 0.2472        | 13.0  | 2171 | 0.2626          |
| 0.2644        | 14.0  | 2338 | 0.2629          |
| 0.2566        | 15.0  | 2505 | 0.2625          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1