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README.md
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---
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tags:
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- translation
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: ar2enCkptfromgendata_02
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ar2enCkptfromgendata_02
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This model is a fine-tuned version of [Shularp/ar2enCkptfromgendata_01](https://huggingface.co/Shularp/ar2enCkptfromgendata_01) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3127
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- Bleu: 75.0762
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.4027 | 1.0 | 151 | 0.2742 | 78.6168 |
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| 0.2541 | 2.0 | 302 | 0.2781 | 78.3237 |
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| 0.2319 | 3.0 | 453 | 0.2858 | 77.7606 |
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| 0.1957 | 4.0 | 604 | 0.2937 | 76.5858 |
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| 0.1372 | 5.0 | 755 | 0.2992 | 76.1158 |
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| 0.1413 | 6.0 | 906 | 0.3047 | 75.7260 |
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| 0.12 | 7.0 | 1057 | 0.3099 | 75.6321 |
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| 0.1314 | 8.0 | 1208 | 0.3110 | 75.1247 |
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| 0.0864 | 9.0 | 1359 | 0.3118 | 75.3267 |
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| 0.0873 | 10.0 | 1510 | 0.3127 | 75.0762 |
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### Framework versions
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- Transformers 4.30.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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