oddadmix/masrawy-english-arabic-translator-clauda-opus-v1
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- model.safetensors +1 -1
- runs/Dec06_12-52-19_ny9ms9c3tk/events.out.tfevents.1733489543.ny9ms9c3tk.463.0 +3 -0
- runs/Dec06_13-46-02_nj36vgx8u5/events.out.tfevents.1733492767.nj36vgx8u5.106.0 +3 -0
- runs/Dec06_13-47-04_nj36vgx8u5/events.out.tfevents.1733492825.nj36vgx8u5.106.1 +3 -0
- runs/Dec06_13-47-27_nj36vgx8u5/events.out.tfevents.1733492847.nj36vgx8u5.106.2 +3 -0
- runs/Dec06_17-01-35_nj36vgx8u5/events.out.tfevents.1733504495.nj36vgx8u5.106.3 +3 -0
- runs/Dec06_17-01-41_nj36vgx8u5/events.out.tfevents.1733504502.nj36vgx8u5.106.4 +3 -0
- runs/Dec06_17-01-41_nj36vgx8u5/events.out.tfevents.1733504502.nj36vgx8u5.106.5 +3 -0
- runs/Dec06_17-03-18_nj36vgx8u5/events.out.tfevents.1733504599.nj36vgx8u5.106.6 +3 -0
- training_args.bin +1 -1
README.md
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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.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 2.1304 | 8.0 | 28232 | 2.2530 |
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| 2.0802 | 9.0 | 31761 | 2.2417 |
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| 2.048 | 10.0 | 35290 | 2.2341 |
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| 2.0323 | 11.0 | 38819 | 2.2255 |
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| 2.0012 | 12.0 | 42348 | 2.2233 |
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| 1.9905 | 13.0 | 45877 | 2.2193 |
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| 1.9648 | 14.0 | 49406 | 2.2162 |
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| 1.9716 | 15.0 | 52935 | 1.8534 |
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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: 1.9238
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## Model description
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### Training hyperparameters
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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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