---
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-10e64
  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: 7.795
---

<!-- 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-10e64

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: 1.4935
- Bleu: 7.795
- Gen Len: 60.8227

## 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: 64
- eval_batch_size: 64
- 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   | 279  | 2.2834          | 1.3309 | 68.9546 |
| 3.1609        | 2.0   | 558  | 1.8907          | 4.0661 | 60.289  |
| 3.1609        | 3.0   | 837  | 1.7445          | 5.2814 | 59.5739 |
| 1.9255        | 4.0   | 1116 | 1.6564          | 6.0017 | 61.6317 |
| 1.9255        | 5.0   | 1395 | 1.5978          | 6.5742 | 60.6533 |
| 1.7347        | 6.0   | 1674 | 1.5572          | 7.0291 | 61.3661 |
| 1.7347        | 7.0   | 1953 | 1.5287          | 7.4536 | 60.8991 |
| 1.642         | 8.0   | 2232 | 1.5092          | 7.6945 | 60.6611 |
| 1.5888        | 9.0   | 2511 | 1.4971          | 7.7436 | 60.8317 |
| 1.5888        | 10.0  | 2790 | 1.4935          | 7.795  | 60.8227 |


### Framework versions

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