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Arabic2
PontifexMaximus/Arabic2
Arabic2 is a machine learning model from PontifexMaximus. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- May 27, 2022
- Updated
- Jul 9, 2022
- SHA
- 2236aacb
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
opus-mt-ar-en-finetuned-ar-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the opus_infopankki dataset. It achieves the following results on the evaluation set:
- Loss: 0.7636
- Bleu: 53.5086
- Gen Len: 13.5728
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-06
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 278 | 1.5114 | 35.2767 | 14.2084 |
| 1.6677 | 2.0 | 556 | 1.4025 | 37.5243 | 14.0245 |
| 1.6677 | 3.0 | 834 | 1.3223 | 39.4262 | 13.8101 |
| 1.4743 | 4.0 | 1112 | 1.2567 | 40.7045 | 13.8533 |
| 1.4743 | 5.0 | 1390 | 1.2001 | 41.8356 | 13.8083 |
| 1.3428 | 6.0 | 1668 | 1.1504 | 43.2448 | 13.6958 |
| 1.3428 | 7.0 | 1946 | 1.1072 | 44.177 | 13.6783 |
| 1.2595 | 8.0 | 2224 | 1.0701 | 45.17 | 13.6587 |
| 1.1829 | 9.0 | 2502 | 1.0345 | 45.9612 | 13.6706 |
| 1.1829 | 10.0 | 2780 | 1.0042 | 46.9009 | 13.6236 |
| 1.1188 | 11.0 | 3058 | 0.9760 | 47.7478 | 13.6205 |
| 1.1188 | 12.0 | 3336 | 0.9505 | 48.3082 | 13.6283 |
| 1.0735 | 13.0 | 3614 | 0.9270 | 48.9782 | 13.6203 |
| 1.0735 | 14.0 | 3892 | 0.9060 | 49.5541 | 13.6311 |
| 1.0269 | 15.0 | 4170 | 0.8869 | 49.9905 | 13.6222 |
| 1.0269 | 16.0 | 4448 | 0.8700 | 50.4806 | 13.6047 |
| 0.9983 | 17.0 | 4726 | 0.8538 | 50.9186 | 13.6159 |
| 0.9647 | 18.0 | 5004 | 0.8398 | 51.3492 | 13.6146 |
| 0.9647 | 19.0 | 5282 | 0.8271 | 51.7219 | 13.5275 |
| 0.9398 | 20.0 | 5560 | 0.8156 | 52.0177 | 13.5756 |
| 0.9398 | 21.0 | 5838 | 0.8053 | 52.3619 | 13.5807 |
| 0.9206 | 22.0 | 6116 | 0.7963 | 52.6051 | 13.5652 |
| 0.9206 | 23.0 | 6394 | 0.7885 | 52.8322 | 13.5669 |
| 0.9012 | 24.0 | 6672 | 0.7818 | 52.9402 | 13.5701 |
| 0.9012 | 25.0 | 6950 | 0.7762 | 53.1182 | 13.5695 |
| 0.8965 | 26.0 | 7228 | 0.7717 | 53.1596 | 13.5612 |
| 0.8836 | 27.0 | 7506 | 0.7681 | 53.3116 | 13.5719 |
| 0.8836 | 28.0 | 7784 | 0.7656 | 53.4399 | 13.5758 |
| 0.8777 | 29.0 | 8062 | 0.7642 | 53.4805 | 13.5737 |
| 0.8777 | 30.0 | 8340 | 0.7636 | 53.5086 | 13.5728 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- May 27, 2022
- Updated
- Jul 9, 2022