---
library_name: transformers
license: mit
base_model: sophiebui/ru-en_mtmodel
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ru-en_mtmodel_v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ru-en_mtmodel_v1

This model is a fine-tuned version of [sophiebui/ru-en_mtmodel](https://huggingface.co/sophiebui/ru-en_mtmodel) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1134
- Bleu: 43.1972
- Gen Len: 30.6216

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 226  | 1.2067          | 39.6459 | 30.2432 |
| No log        | 2.0   | 452  | 1.1232          | 40.3147 | 30.8649 |
| 1.2106        | 3.0   | 678  | 1.1134          | 43.1972 | 30.6216 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1