---
license: mit
base_model: facebook/m2m100_418M
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_418M-finetuned-en-ru
  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. -->

# m2m100_418M-finetuned-en-ru

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6798
- Bleu: 51.7753
- Gen Len: 61.5271

## 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: 4
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 50
- total_train_batch_size: 200
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.8981        | 1.0   | 9218  | 0.8277          | 48.5181 | 61.4701 |
| 0.8167        | 2.0   | 18437 | 0.7696          | 49.6956 | 61.4641 |
| 0.7718        | 3.0   | 27656 | 0.7396          | 50.4045 | 61.5042 |
| 0.7373        | 4.0   | 36875 | 0.7203          | 50.8134 | 61.5313 |
| 0.713         | 5.0   | 46094 | 0.7069          | 51.136  | 61.5931 |
| 0.6937        | 6.0   | 55312 | 0.6967          | 51.4274 | 61.5911 |
| 0.6787        | 7.0   | 64531 | 0.6889          | 51.5404 | 61.5012 |
| 0.6659        | 8.0   | 73750 | 0.6844          | 51.7187 | 61.5229 |
| 0.6584        | 9.0   | 82969 | 0.6809          | 51.8218 | 61.5392 |
| 0.649         | 10.0  | 92180 | 0.6798          | 51.7753 | 61.5271 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.2.0.dev20230920+cu121
- Datasets 2.14.4
- Tokenizers 0.13.3