---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: german-spanglish
  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. -->

# german-spanglish

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1288
- Bleu: 3.4941
- Gen Len: 13.975

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 2.7115        | 1.0   | 10   | 2.3293          | 0.9472 | 14.325  |
| 2.6497        | 2.0   | 20   | 2.2775          | 2.3123 | 14.15   |
| 2.6046        | 3.0   | 30   | 2.2373          | 2.3261 | 14.075  |
| 2.5411        | 4.0   | 40   | 2.2051          | 2.3386 | 14.05   |
| 2.5299        | 5.0   | 50   | 2.1819          | 2.3366 | 14.125  |
| 2.5496        | 6.0   | 60   | 2.1625          | 2.3345 | 14.175  |
| 2.5261        | 7.0   | 70   | 2.1473          | 3.0654 | 14.075  |
| 2.4913        | 8.0   | 80   | 2.1372          | 3.4941 | 13.975  |
| 2.4596        | 9.0   | 90   | 2.1310          | 3.4941 | 13.975  |
| 2.4372        | 10.0  | 100  | 2.1288          | 3.4941 | 13.975  |


### Framework versions

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