transformers tensorboard safetensors bert fill-mask generated_from_trainer base_model:klue/bert-base license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
---
license: cc-by-sa-4.0
base_model: klue/bert-base
tags:
- generated_from_trainer
model-index:
- name: klue-bert-mlm-bible
  results: []
---

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# klue-bert-mlm-bible

This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7385

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0483        | 1.0   | 3107 | 1.9150          |
| 1.8962        | 2.0   | 6214 | 1.7948          |
| 1.7951        | 3.0   | 9321 | 1.7211          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
