metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - news_commentary
metrics:
  - bleu
model-index:
  - name: opus-mt-ar-en-finetuned-ar-to-en
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: news_commentary
          type: news_commentary
          args: ar-en
        metrics:
          - name: Bleu
            type: bleu
            value: 32.5319

opus-mt-ar-en-finetuned-ar-to-en

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the news_commentary dataset. It achieves the following results on the evaluation set:

Loss: 10.6041
Bleu: 32.5319
Gen Len: 56.234

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-09
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
No log	1.0	32	10.6106	32.5327	56.234
No log	2.0	64	10.6090	32.5319	56.234
No log	3.0	96	10.6076	32.5319	56.234
No log	4.0	128	10.6064	32.5319	56.234
No log	5.0	160	10.6053	32.5319	56.234
No log	6.0	192	10.6048	32.5319	56.234
No log	7.0	224	10.6044	32.5319	56.234
No log	8.0	256	10.6042	32.5319	56.234
No log	9.0	288	10.6041	32.5319	56.234
No log	10.0	320	10.6041	32.5319	56.234

Framework versions

Transformers 4.20.0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1