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---
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: exp_acha_mluke_base_origi
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_origi
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: 0.1405
## 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: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.314 | 1.0 | 208 | 0.3363 |
| 0.2712 | 2.0 | 416 | 0.2008 |
| 0.1676 | 3.0 | 624 | 0.1689 |
| 0.118 | 4.0 | 832 | 0.1944 |
| 0.103 | 5.0 | 1040 | 0.1970 |
| 0.1465 | 6.0 | 1248 | 0.1481 |
| 0.0821 | 7.0 | 1456 | 0.1487 |
| 0.0515 | 8.0 | 1664 | 0.1439 |
| 0.0303 | 9.0 | 1872 | 0.1463 |
| 0.1295 | 10.0 | 2080 | 0.1405 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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