transformers pytorch tensorboard marian text2text-generation translation3 generated_from_trainer dataset:ccmatrix model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- ccmatrix
metrics:
- bleu
tags:
- translation3
- generated_from_trainer
model-index:
- name: opus-mt-tc-big-ar-en
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: ccmatrix
      type: ccmatrix
      config: ar-en
      split: train[894700:1000000]
      args: ar-en
    metrics:
    - type: bleu
      value: 57.411941954107235
      name: Bleu
---

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# opus-mt-tc-big-ar-en

This model was trained from scratch on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6565
- Bleu: 57.4119

## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
