---
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: exp_acha_mluke_base_1e_4_warmpup_02
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# exp_acha_mluke_base_1e_4_warmpup_02

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: 0.2797

## 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: 0.0001
- 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: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3661        | 1.0   | 208  | 0.4168          |
| 0.4296        | 2.0   | 416  | 0.7619          |
| 0.4223        | 3.0   | 624  | 0.3506          |
| 0.3795        | 4.0   | 832  | 0.3102          |
| 0.4992        | 5.0   | 1040 | 0.5101          |
| 0.4629        | 6.0   | 1248 | 0.4456          |
| 0.406         | 7.0   | 1456 | 0.4701          |
| 0.3229        | 8.0   | 1664 | 0.3865          |
| 0.262         | 9.0   | 1872 | 0.3046          |
| 0.3361        | 10.0  | 2080 | 0.2797          |


### Framework versions

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