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oddadmix
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masrawy-english-arabic-translator

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TensorBoard
Safetensors
Arabic
English
marian
Generated from Trainer
egyptian
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oddadmix/masrawy-english-arabic-translator

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  1. README.md +21 -22
  2. model.safetensors +1 -1
  3. runs/Nov21_11-56-31_nqwqmk66xj/events.out.tfevents.1732190194.nqwqmk66xj.82.0 +3 -0
  4. runs/Nov21_12-02-50_nkf0zmwxey/events.out.tfevents.1732190572.nkf0zmwxey.82.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2879
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  ## Model description
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@@ -41,32 +41,31 @@ The following hyperparameters were used during training:
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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: 20
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- - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 2.815 | 1.0 | 2396 | 2.6616 |
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- | 2.5618 | 2.0 | 4792 | 2.5283 |
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- | 2.4125 | 3.0 | 7188 | 2.4602 |
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- | 2.2402 | 4.0 | 9584 | 2.4090 |
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- | 2.179 | 5.0 | 11980 | 2.3817 |
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- | 2.0999 | 6.0 | 14376 | 2.3522 |
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- | 2.0049 | 7.0 | 16772 | 2.3329 |
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- | 1.9457 | 8.0 | 19168 | 2.3151 |
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- | 1.8879 | 9.0 | 21564 | 2.3125 |
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- | 1.8884 | 10.0 | 23960 | 2.3066 |
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- | 1.8044 | 11.0 | 26356 | 2.2992 |
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- | 1.8016 | 12.0 | 28752 | 2.2952 |
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- | 1.7312 | 13.0 | 31148 | 2.2959 |
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- | 1.7116 | 14.0 | 33544 | 2.2859 |
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- | 1.6499 | 15.0 | 35940 | 2.2893 |
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- | 1.6454 | 16.0 | 38336 | 2.2910 |
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- | 1.6292 | 17.0 | 40732 | 2.2849 |
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- | 1.6245 | 18.0 | 43128 | 2.2853 |
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- | 1.6161 | 19.0 | 45524 | 2.2875 |
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- | 1.593 | 20.0 | 47920 | 2.2879 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2729
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  ## Model description
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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: 20
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 3.0322 | 1.0 | 2396 | 2.7550 |
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+ | 2.6774 | 2.0 | 4792 | 2.5702 |
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+ | 2.4396 | 3.0 | 7188 | 2.4710 |
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+ | 2.3383 | 4.0 | 9584 | 2.4240 |
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+ | 2.2258 | 5.0 | 11980 | 2.3784 |
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+ | 2.1246 | 6.0 | 14376 | 2.3536 |
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+ | 2.0464 | 7.0 | 16772 | 2.3279 |
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+ | 1.955 | 8.0 | 19168 | 2.3168 |
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+ | 1.9251 | 9.0 | 21564 | 2.2985 |
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+ | 1.8907 | 10.0 | 23960 | 2.2907 |
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+ | 1.8345 | 11.0 | 26356 | 2.2874 |
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+ | 1.7875 | 12.0 | 28752 | 2.2856 |
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+ | 1.7772 | 13.0 | 31148 | 2.2791 |
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+ | 1.7081 | 14.0 | 33544 | 2.2756 |
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+ | 1.6571 | 15.0 | 35940 | 2.2768 |
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+ | 1.6939 | 16.0 | 38336 | 2.2736 |
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+ | 1.6486 | 17.0 | 40732 | 2.2724 |
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+ | 1.6019 | 18.0 | 43128 | 2.2719 |
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+ | 1.6029 | 19.0 | 45524 | 2.2728 |
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+ | 1.6114 | 20.0 | 47920 | 2.2729 |
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  ### Framework versions
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