---
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
  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: 14.5684
---

<!-- 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

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: 1.1597
- Bleu: 14.5684
- Gen Len: 58.4294

## 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: 25

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 3.3983        | 1.0   | 974   | 1.9251          | 3.7894  | 60.1579 |
| 1.9429        | 2.0   | 1948  | 1.6720          | 5.7083  | 58.6443 |
| 1.7118        | 3.0   | 2922  | 1.5389          | 7.1977  | 58.8536 |
| 1.5647        | 4.0   | 3896  | 1.4484          | 8.4631  | 57.9068 |
| 1.4611        | 5.0   | 4870  | 1.3836          | 9.5314  | 59.3106 |
| 1.3735        | 6.0   | 5844  | 1.3357          | 10.1879 | 59.5501 |
| 1.3078        | 7.0   | 6818  | 1.3014          | 10.9172 | 59.4968 |
| 1.245         | 8.0   | 7792  | 1.2737          | 11.445  | 59.585  |
| 1.2048        | 9.0   | 8766  | 1.2485          | 11.9346 | 58.3275 |
| 1.1648        | 10.0  | 9740  | 1.2298          | 12.3049 | 58.7768 |
| 1.1272        | 11.0  | 10714 | 1.2176          | 12.7287 | 58.1549 |
| 1.086         | 12.0  | 11688 | 1.2043          | 13.0962 | 59.2217 |
| 1.0595        | 13.0  | 12662 | 1.1973          | 13.3375 | 58.6736 |
| 1.0343        | 14.0  | 13636 | 1.1844          | 13.3963 | 58.2763 |
| 1.0174        | 15.0  | 14610 | 1.1797          | 13.7067 | 58.1738 |
| 0.9923        | 16.0  | 15584 | 1.1757          | 13.9467 | 59.3246 |
| 0.9703        | 17.0  | 16558 | 1.1704          | 14.1023 | 58.9813 |
| 0.9589        | 18.0  | 17532 | 1.1663          | 14.2842 | 58.401  |
| 0.9472        | 19.0  | 18506 | 1.1662          | 14.2109 | 58.4796 |
| 0.9262        | 20.0  | 19480 | 1.1635          | 14.3872 | 58.1601 |
| 0.9147        | 21.0  | 20454 | 1.1606          | 14.4983 | 58.7417 |
| 0.9162        | 22.0  | 21428 | 1.1630          | 14.5229 | 58.4345 |
| 0.9012        | 23.0  | 22402 | 1.1607          | 14.6204 | 58.0767 |
| 0.899         | 24.0  | 23376 | 1.1600          | 14.5681 | 58.4357 |
| 0.8934        | 25.0  | 24350 | 1.1597          | 14.5684 | 58.4294 |


### Framework versions

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