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masrawy-english-arabic-translator-v2

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oddadmix/masrawy-english-arabic-translator-clauda-opus-v1

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Files changed (14) hide show
  1. .ipynb_checkpoints/metrics-checkpoint.json +13 -0
  2. README.md +9 -13
  3. model.safetensors +1 -1
  4. runs/Dec06_19-05-35_nj36vgx8u5/events.out.tfevents.1733511937.nj36vgx8u5.5690.0 +3 -0
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  14. training_args.bin +1 -1
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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: 1.9238
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  ## Model description
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@@ -35,24 +35,20 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 32
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- - eval_batch_size: 32
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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: 7
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 2.113 | 1.0 | 3652 | 1.9290 |
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- | 2.0021 | 2.0 | 7304 | 1.9249 |
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- | 1.924 | 3.0 | 10956 | 1.9295 |
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- | 1.8261 | 4.0 | 14608 | 1.9231 |
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- | 1.7687 | 5.0 | 18260 | 1.9242 |
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- | 1.7121 | 6.0 | 21912 | 1.9200 |
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- | 1.6489 | 7.0 | 25564 | 1.9238 |
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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: 2.4342
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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: 3
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.8729 | 1.0 | 1871 | 2.6276 |
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+ | 2.5524 | 2.0 | 3742 | 2.4715 |
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+ | 2.4361 | 3.0 | 5613 | 2.4342 |
 
 
 
 
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