---
license: mit
tags:
- generated_from_trainer
model-index:
- name: m2m100_418M-finetuned-en-to-ko-4770260
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# m2m100_418M-finetuned-en-to-ko-4770260

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8089

## 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: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9875        | 1.0   | 9376  | 0.8947          |
| 0.8892        | 2.0   | 18752 | 0.8291          |
| 0.8469        | 3.0   | 28128 | 0.8089          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2