---
library_name: transformers
license: mit
base_model: sophiebui/en-ru_mtmodel
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: en-ru_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. -->

# en-ru_mtmodel_v1

This model is a fine-tuned version of [sophiebui/en-ru_mtmodel](https://huggingface.co/sophiebui/en-ru_mtmodel) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8443
- Bleu: 44.9157
- Gen Len: 32.0811

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 226  | 0.9394          | 37.9005 | 31.5405 |
| No log        | 2.0   | 452  | 0.8537          | 43.6072 | 32.3514 |
| 0.935         | 3.0   | 678  | 0.8400          | 46.3652 | 31.8108 |
| 0.935         | 4.0   | 904  | 0.8482          | 44.6002 | 31.973  |
| 0.4432        | 5.0   | 1130 | 0.8443          | 44.9157 | 32.0811 |


### Framework versions

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