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tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ar2enCkptfromgendata_01
results: []
---
<!-- 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. -->
# ar2enCkptfromgendata_01
This model is a fine-tuned version of [Botnoi/ckpt_marian_mt_ar_en_health](https://huggingface.co/Botnoi/ckpt_marian_mt_ar_en_health) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6115
- Bleu: 59.8404
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8149 | 1.0 | 151 | 0.6818 | 55.1419 |
| 0.5402 | 2.0 | 302 | 0.6288 | 57.8755 |
| 0.4761 | 3.0 | 453 | 0.6098 | 58.7418 |
| 0.3477 | 4.0 | 604 | 0.6056 | 59.0117 |
| 0.3204 | 5.0 | 755 | 0.6039 | 59.7086 |
| 0.262 | 6.0 | 906 | 0.6030 | 59.5996 |
| 0.2531 | 7.0 | 1057 | 0.6072 | 59.4558 |
| 0.223 | 8.0 | 1208 | 0.6091 | 59.8874 |
| 0.2101 | 9.0 | 1359 | 0.6108 | 59.7567 |
| 0.2044 | 10.0 | 1510 | 0.6115 | 59.8404 |
### Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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