---
tags:
- generated_from_trainer
datasets:
- opus_books
metrics:
- bleu
model-index:
- name: my_awesome_opus_books_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: opus_books
      type: opus_books
      config: de-en
      split: train
      args: de-en
    metrics:
    - name: Bleu
      type: bleu
      value: 4.9544
---

<!-- 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. -->

# my_awesome_opus_books_model

This model was trained from scratch on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6349
- Bleu: 4.9544
- Gen Len: 16.4563

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 3.0491        | 1.0   | 2574  | 2.7656          | 4.2008 | 16.5119 |
| 2.9604        | 2.0   | 5148  | 2.6959          | 4.589  | 16.4523 |
| 2.9114        | 3.0   | 7722  | 2.6601          | 4.8097 | 16.461  |
| 2.8991        | 4.0   | 10296 | 2.6408          | 4.9246 | 16.4609 |
| 2.8777        | 5.0   | 12870 | 2.6349          | 4.9544 | 16.4563 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3