---
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: 1.1124
- Bleu: 39.6748
- Gen Len: 26.0628

## 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: 5e-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 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 1.172         | 1.0   | 35147  | 1.2856          | 34.1563 | 26.1419 |
| 1.1403        | 2.0   | 70294  | 1.2595          | 34.8515 | 26.198  |
| 1.0997        | 3.0   | 105441 | 1.2305          | 35.7998 | 26.115  |
| 1.0711        | 4.0   | 140588 | 1.2111          | 36.5266 | 26.17   |
| 1.0392        | 5.0   | 175735 | 1.1953          | 36.9092 | 26.0507 |
| 1.0109        | 6.0   | 210882 | 1.1662          | 37.7652 | 26.0546 |
| 0.9878        | 7.0   | 246029 | 1.1542          | 38.4936 | 25.9766 |
| 0.9573        | 8.0   | 281176 | 1.1298          | 39.06   | 26.1242 |
| 0.9263        | 9.0   | 316323 | 1.1214          | 39.5778 | 26.0582 |
| 0.9132        | 10.0  | 351470 | 1.1124          | 39.6748 | 26.0628 |


### Framework versions

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