---
license: apache-2.0
base_model: kalese/opus-mt-en-bkm
tags:
- generated_from_trainer
datasets:
- arrow
metrics:
- bleu
model-index:
- name: opus-mt-en-bkm-10e32
  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: 32.9859
---

<!-- 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-10e32

This model is a fine-tuned version of [kalese/opus-mt-en-bkm](https://huggingface.co/kalese/opus-mt-en-bkm) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5341
- Bleu: 32.9859
- Gen Len: 59.4587

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.6836        | 1.0   | 557  | 0.5107          | 34.8746 | 59.0061 |
| 0.6574        | 2.0   | 1114 | 0.5185          | 34.148  | 59.4474 |
| 0.635         | 3.0   | 1671 | 0.5243          | 33.7365 | 59.0982 |
| 0.6196        | 4.0   | 2228 | 0.5271          | 33.4739 | 59.0476 |
| 0.6032        | 5.0   | 2785 | 0.5302          | 33.1361 | 59.1885 |
| 0.5942        | 6.0   | 3342 | 0.5329          | 33.2175 | 59.511  |
| 0.5794        | 7.0   | 3899 | 0.5345          | 32.8581 | 59.3146 |
| 0.5671        | 8.0   | 4456 | 0.5344          | 33.0341 | 59.4416 |
| 0.5532        | 9.0   | 5013 | 0.5340          | 32.8106 | 59.42   |
| 0.5494        | 10.0  | 5570 | 0.5341          | 32.9859 | 59.4587 |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2