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# 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

{"license": "mit", "tags": ["translation", "generated_from_trainer"], "datasets": ["wmt16"], "metrics": ["bleu"], "base_model": "facebook/m2m100_1.2B", "model-index": [{"name": "m2m100_1.2B", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "wmt16", "type": "wmt16", "config": "ru-en", "split": "validation", "args": "ru-en"}, "metrics": [{"type": "bleu", "value": 33.3632, "name": "Bleu"}]}]}]}
transformers pytorch safetensors m2m_100 text2text-generation translation generated_from_trainer dataset:wmt16 base_model:facebook/m2m100_1.2B license:mit model-index autotrain_compatible endpoints_compatible region:us