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---
license: mit
base_model: kazandaev/m2m100_418M
tags:
- translation
- generated_from_trainer
datasets:
- wmt16
metrics:
- bleu
model-index:
- name: m2m100_418M
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: 32.0585
---
<!-- 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
This model is a fine-tuned version of [kazandaev/m2m100_418M](https://huggingface.co/kazandaev/m2m100_418M) on the custom en-ru dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8954
- Bleu: 32.0585
- Gen Len: 36.1643
## 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: 2
- 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: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.8087 | 1.0 | 47790 | 0.9542 | 30.786 | 36.1469 |
| 0.7266 | 2.0 | 95580 | 0.8954 | 32.0585 | 36.1643 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.2.0.dev20230920+cu121
- Datasets 2.14.4
- Tokenizers 0.13.3
|