---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Helsinki-NLPopus-mt-tc-big-en-moroccain_dialect
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Helsinki-NLPopus-mt-tc-big-en-moroccain_dialect

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6930
- Bleu: 50.0607
- Gen Len: 14.7048

## 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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4000
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.617         | 1.0   | 1931 | 0.6930          | 50.0607 | 14.7048 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3