---
license: apache-2.0
base_model: kalese/opus-mt-en-bkm-10e64
tags:
- generated_from_trainer
datasets:
- arrow
metrics:
- bleu
model-index:
- name: opus-mt-en-bkm-10e10encdec
  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: 12.0707
---

<!-- 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-10e10encdec

This model is a fine-tuned version of [kalese/opus-mt-en-bkm-10e64](https://huggingface.co/kalese/opus-mt-en-bkm-10e64) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2361
- Bleu: 12.0707
- Gen Len: 59.4315

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 487  | 1.3987          | 8.8903  | 60.2246 |
| 1.5613        | 2.0   | 974  | 1.3545          | 9.5185  | 60.2484 |
| 1.4784        | 3.0   | 1461 | 1.3220          | 10.1143 | 59.757  |
| 1.4123        | 4.0   | 1948 | 1.2958          | 10.6244 | 59.5823 |
| 1.3625        | 5.0   | 2435 | 1.2744          | 11.0208 | 59.4767 |
| 1.3202        | 6.0   | 2922 | 1.2603          | 11.3956 | 59.1844 |
| 1.2875        | 7.0   | 3409 | 1.2498          | 11.6882 | 60.2625 |
| 1.2628        | 8.0   | 3896 | 1.2414          | 11.8521 | 59.6434 |
| 1.2431        | 9.0   | 4383 | 1.2381          | 11.9893 | 59.6424 |
| 1.2245        | 10.0  | 4870 | 1.2361          | 12.0707 | 59.4315 |


### Framework versions

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