pytorch tensorboard rust marian text2text-generation transformers generated_from_trainer model-index autotrain_compatible
---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ru-en-finetuned-v2
  results: []
---

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# opus-mt-ru-en-finetuned-v2

This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned-v2](https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0488
- Bleu: 43.6041
- Gen Len: 26.3527

## 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: 1e-06
- train_batch_size: 12
- eval_batch_size: 48
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.6311        | 1.0   | 1493 | 1.0488          | 43.6041 | 26.3527 |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.6
