---
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: Mlukebasewithpaperparameter_v2
  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. -->

# Mlukebasewithpaperparameter_v2

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: 0.1553

## 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: 12
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 60
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.005
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5072        | 0.9928 | 55   | 0.4228          |
| 0.3222        | 1.9856 | 110  | 0.2984          |
| 0.286         | 2.9964 | 166  | 0.2462          |
| 0.2           | 3.9892 | 221  | 0.2388          |
| 0.1843        | 5.0    | 277  | 0.2082          |
| 0.1663        | 5.9928 | 332  | 0.1859          |
| 0.192         | 6.9856 | 387  | 0.1746          |
| 0.1492        | 7.9964 | 443  | 0.1650          |
| 0.1338        | 8.9892 | 498  | 0.1594          |
| 0.1237        | 9.9278 | 550  | 0.1553          |


### Framework versions

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