---
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: 1.0678
- Bleu: 41.9575
- Gen Len: 26.1221

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.9398        | 1.0   | 35147  | 1.1344          | 39.1234 | 26.0997 |
| 0.9278        | 2.0   | 70294  | 1.1184          | 39.6701 | 26.2065 |
| 0.9076        | 3.0   | 105441 | 1.1048          | 39.7062 | 26.0862 |
| 0.8972        | 4.0   | 140588 | 1.0987          | 40.106  | 26.105  |
| 0.8859        | 5.0   | 175735 | 1.0959          | 40.6067 | 26.1026 |
| 0.8788        | 6.0   | 210882 | 1.0849          | 41.1633 | 26.0607 |
| 0.8767        | 7.0   | 246029 | 1.0835          | 41.3413 | 26.0259 |
| 0.8681        | 8.0   | 281176 | 1.0742          | 41.4849 | 26.1068 |
| 0.8615        | 9.0   | 316323 | 1.0714          | 42.0031 | 26.1483 |
| 0.87          | 10.0  | 351470 | 1.0678          | 41.9575 | 26.1221 |


### Framework versions

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