---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: translation_model
  results: []
---

<!-- 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. -->

# translation_model

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8172
- Bleu: 1.4433
- Gen Len: 18.005

## 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: 2
- mixed_precision_training: Native AMP

### Training results

| Epoch | Step  | Training Loss | Validation Loss | Bleu   | Gen Len |
|:-----:|:-----:|:-------------:|:---------------:|:------:|:-------:|
| 1.0   | 4674  | 2.5538        | 2.2471          | 0.7389 | 18.1428 |
| 2.0   | 9348  | 2.4606        | 2.1615          | 0.8787 | 18.1105 |
| 3.0   | 14022 | 2.3877        | 2.0981          | 0.9630 | 18.0917 |
| 4.0   | 18696 | 2.3433        | 2.0538          | 1.0353 | 18.0855 |
| 5.0   | 23370 | 2.2914        | 2.0186          | 1.0902 | 18.0692 |
| 6.0   | 28044 | 2.2565        | 1.9939          | 1.1566 | 18.0789 |
| 7.0   | 32718 | 2.2539        | 1.9756          | 1.1935 | 18.0686 |
| 8.0   | 37392 | 2.2262        | 1.9628          | 1.1998 | 18.0759 |
| 9.0   | 42066 | 2.2097        | 1.9556          | 1.2209 | 18.0706 |
| 10.0  | 46740 | 2.2021        | 1.9529          | 1.2244 | 18.0659 |
| 11.0  | 51414 | 2.1283        | 1.8698          | 1.3343 | 18.024  |
| 12.0  | 56088 | 2.1211        | 1.8516          | 1.3656 | 18.0194 |
| 13.0  | 60762 | 2.1063        | 1.8461          | 1.3828 | 18.0112 |
| 14.0  | 65436 | 2.0545        | 1.8267          | 1.4183 | 18.0116 |
| 15.0  | 70110 | 2.0645        | 1.8172          | 1.4433 | 18.005  |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1