---
license: mit
base_model: facebook/m2m100_1.2B
tags:
- translation
- generated_from_trainer
datasets:
- wmt16
metrics:
- bleu
model-index:
- name: m2m100_1.2B
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: wmt16
      type: wmt16
      config: ru-en
      split: validation
      args: ru-en
    metrics:
    - name: Bleu
      type: bleu
      value: 33.3632
---

<!-- 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_1.2B

This model is a fine-tuned version of [facebook/m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) on the wmt16 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8189
- Bleu: 33.3632
- Gen Len: 36.176

## 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: 1
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.7163        | 1.0   | 47790 | 0.8189          | 33.3632 | 36.176  |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.14.1