---
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-10e
  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: 6.3359
---

<!-- 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-10e

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: 1.6318
- Bleu: 6.3359
- Gen Len: 58.0829

## 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: 128
- eval_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 140  | 3.1399          | 0.0997 | 69.5849 |
| No log        | 2.0   | 280  | 2.2017          | 1.6584 | 62.2953 |
| No log        | 3.0   | 420  | 1.9380          | 3.61   | 59.1948 |
| 3.0959        | 4.0   | 560  | 1.8188          | 4.5827 | 57.0106 |
| 3.0959        | 5.0   | 700  | 1.7496          | 5.1558 | 56.731  |
| 3.0959        | 6.0   | 840  | 1.7012          | 5.6941 | 58.2515 |
| 3.0959        | 7.0   | 980  | 1.6683          | 5.964  | 57.0337 |
| 1.851         | 8.0   | 1120 | 1.6473          | 6.1539 | 57.0685 |
| 1.851         | 9.0   | 1260 | 1.6357          | 6.3233 | 57.5607 |
| 1.851         | 10.0  | 1400 | 1.6318          | 6.3359 | 58.0829 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2