pytorch tensorboard m2m_100 text2text-generation transformers generated_from_trainer license:mit model-index autotrain_compatible
---
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_418M-finetuned-ko-to-en4-finetuned-ko-to-en5
  results: []
---

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# m2m100_418M-finetuned-ko-to-en4-finetuned-ko-to-en5

This model is a fine-tuned version of [inhee/m2m100_418M-finetuned-ko-to-en4](https://huggingface.co/inhee/m2m100_418M-finetuned-ko-to-en4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2863
- Bleu: 87.4185
- Gen Len: 9.7107

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 105  | 0.3571          | 78.7464 | 9.5775  |
| No log        | 2.0   | 210  | 0.3410          | 81.9462 | 9.6505  |
| No log        | 3.0   | 315  | 0.3102          | 84.746  | 9.6732  |
| No log        | 4.0   | 420  | 0.2929          | 86.5137 | 9.6997  |
| 0.2431        | 5.0   | 525  | 0.2863          | 87.4185 | 9.7107  |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
