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---
tags:
- generated_from_trainer
model-index:
- name: kobigbird-bert-base-finetuned
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. -->
# kobigbird-bert-base-finetuned
This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8070
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5433 | 0.52 | 500 | 1.7958 |
| 1.5093 | 1.03 | 1000 | 1.1129 |
| 1.1411 | 1.55 | 1500 | 1.0226 |
| 0.9785 | 2.07 | 2000 | 0.8868 |
| 0.8037 | 2.58 | 2500 | 0.8301 |
| 0.7273 | 3.1 | 3000 | 0.8552 |
| 0.6034 | 3.62 | 3500 | 0.8070 |
### Framework versions
- Transformers 4.23.0
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.13.1
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