---
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: exp_number1
  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_number1

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: 0.1505

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4113        | 1.0   | 221  | 0.4158          |
| 0.3323        | 2.0   | 443  | 0.2946          |
| 0.2299        | 3.0   | 664  | 0.2595          |
| 0.2158        | 4.0   | 886  | 0.2567          |
| 0.1404        | 5.0   | 1107 | 0.2323          |
| 0.1266        | 6.0   | 1329 | 0.1984          |
| 0.1011        | 7.0   | 1550 | 0.2254          |
| 0.0927        | 8.0   | 1772 | 0.1606          |
| 0.0735        | 9.0   | 1993 | 0.1404          |
| 0.0639        | 9.98  | 2210 | 0.1505          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2