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---
license: mit
tags:
- generated_from_trainer
base_model: alphahg/mbart-large-50-finetuned-en-to-ko-8603428
model-index:
- name: mbart-large-50-finetuned-en-to-ko-8603428-finetuned-en-to-ko-9914408
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. -->
# mbart-large-50-finetuned-en-to-ko-8603428-finetuned-en-to-ko-9914408
This model is a fine-tuned version of [alphahg/mbart-large-50-finetuned-en-to-ko-8603428](https://huggingface.co/alphahg/mbart-large-50-finetuned-en-to-ko-8603428) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8130
## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.795 | 1.0 | 18752 | 0.8130 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
|