---
license: mit
tags:
- generated_from_trainer
datasets:
- naem1023/aihub-speech
model-index:
- name: bart-v2-x
  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. -->

# bart-v2-x

This model is a fine-tuned version of [hyunwoongko/kobart](https://huggingface.co./hyunwoongko/kobart) on the naem1023/aihub-speech dataset.

## 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: 110
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 880
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6.0

### Training results



### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1