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---
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
|