---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ro
tags:
- generated_from_trainer
datasets:
- arrow
metrics:
- bleu
model-index:
- name: opus-mt-en-bkm-Final-60
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: arrow
      type: arrow
      config: default
      split: train
      args: default
    metrics:
    - name: Bleu
      type: bleu
      value: 9.354
---

<!-- 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. -->

# opus-mt-en-bkm-Final-60

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5584
- Bleu: 9.354
- Gen Len: 40.6029

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 3.4876        | 1.0   | 601  | 2.2031          | 2.3601 | 50.4173 |
| 2.2475        | 2.0   | 1202 | 1.9329          | 4.8587 | 40.8697 |
| 2.0162        | 3.0   | 1803 | 1.7959          | 5.9413 | 39.0495 |
| 1.8926        | 4.0   | 2404 | 1.7144          | 6.9033 | 40.8797 |
| 1.71          | 5.0   | 3005 | 1.6537          | 7.7651 | 40.4224 |
| 1.6501        | 6.0   | 3606 | 1.6161          | 8.441  | 41.3464 |
| 1.6053        | 7.0   | 4207 | 1.5869          | 8.812  | 40.534  |
| 1.554         | 8.0   | 4808 | 1.5725          | 9.2092 | 40.4813 |
| 1.5409        | 9.0   | 5409 | 1.5608          | 9.3966 | 40.9083 |
| 1.5049        | 10.0  | 6010 | 1.5584          | 9.354  | 40.6029 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2