---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ru-en-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-ru-en-finetuned

This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned](https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0485
- Bleu: 42.9524
- Gen Len: 26.1412

## 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-05
- train_batch_size: 49
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.8396        | 1.0   | 35147  | 1.0827          | 41.4836 | 26.1402 |
| 0.837         | 2.0   | 70294  | 1.0735          | 41.8146 | 26.1647 |
| 0.8266        | 3.0   | 105441 | 1.0659          | 42.0086 | 26.1026 |
| 0.8242        | 4.0   | 140588 | 1.0624          | 42.1259 | 26.1515 |
| 0.822         | 5.0   | 175735 | 1.0620          | 42.3133 | 26.0898 |
| 0.8242        | 6.0   | 210882 | 1.0573          | 42.6048 | 26.0841 |
| 0.831         | 7.0   | 246029 | 1.0567          | 42.793  | 26.0749 |
| 0.8313        | 8.0   | 281176 | 1.0518          | 42.8092 | 26.138  |
| 0.8354        | 9.0   | 316323 | 1.0502          | 42.8207 | 26.154  |
| 0.8533        | 10.0  | 351470 | 1.0485          | 42.9524 | 26.1412 |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0