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-en-ru-finetuned-v3
  results: []
---

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# opus-mt-en-ru-finetuned-v3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8300
- Bleu: 36.9731
- Gen Len: 29.5504

## 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: 85
- eval_batch_size: 85
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 1.073         | 1.0   | 71642  | 0.8276          | 37.1982 | 29.5248 |
| 1.0769        | 2.0   | 143284 | 0.8289          | 37.1495 | 29.5305 |
| 1.0772        | 3.0   | 214926 | 0.8294          | 37.1719 | 29.5099 |
| 1.0767        | 4.0   | 286568 | 0.8297          | 37.0152 | 29.5522 |
| 1.0668        | 5.0   | 358210 | 0.8300          | 36.9731 | 29.5504 |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.2+cu113
- Datasets 1.18.3
- Tokenizers 0.11.0
