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
  results: []
---

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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: 1.0399
- Bleu: 43.5078
- Gen Len: 26.1256

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.7462        | 1.0   | 35147  | 1.0422          | 43.3884 | 26.1742 |
| 0.7501        | 2.0   | 70294  | 1.0407          | 43.5296 | 26.1671 |
| 0.7471        | 3.0   | 105441 | 1.0402          | 43.5133 | 26.1118 |
| 0.7514        | 4.0   | 140588 | 1.0401          | 43.492  | 26.1529 |
| 0.7565        | 5.0   | 175735 | 1.0399          | 43.5078 | 26.1256 |


### Framework versions

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