---
license: mit
tags:
- generated_from_trainer
model-index:
- name: fine-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. -->

# fine-finetuned

This model is a fine-tuned version of [Stxlla/ko-en-following](https://huggingface.co/Stxlla/ko-en-following) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1211
- eval_bleu: 61.2672
- eval_gen_len: 11.3556
- eval_runtime: 2042.0344
- eval_samples_per_second: 16.208
- eval_steps_per_second: 1.013
- epoch: 2.0
- step: 33098

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2