End of training
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README.md
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model-index:
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- name: english-to-darija-2
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results: []
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language:
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- ary
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- en
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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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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Bleu:
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- Gen Len:
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## Model description
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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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.
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model-index:
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- name: english-to-darija-2
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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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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8922
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- Bleu: 77.1567
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- Gen Len: 16.379
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## Model description
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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: 12
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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 | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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| 2.0991 | 1.0 | 1525 | 1.8210 | 20.4147 | 15.6004 |
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| 1.3476 | 2.0 | 3050 | 1.3142 | 38.8364 | 15.808 |
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| 0.9515 | 3.0 | 4575 | 1.0775 | 55.6305 | 16.1504 |
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| 0.6951 | 4.0 | 6100 | 0.9632 | 66.9767 | 16.2509 |
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| 0.5589 | 5.0 | 7625 | 0.9089 | 71.1846 | 16.4062 |
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| 0.4546 | 6.0 | 9150 | 0.8902 | 74.3547 | 16.2483 |
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| 0.3671 | 7.0 | 10675 | 0.8841 | 75.4645 | 16.3627 |
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| 0.3085 | 8.0 | 12200 | 0.8812 | 76.2993 | 16.3739 |
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| 0.2668 | 9.0 | 13725 | 0.8863 | 76.6186 | 16.347 |
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| 0.2257 | 10.0 | 15250 | 0.8876 | 76.6218 | 16.4226 |
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| 0.2077 | 11.0 | 16775 | 0.8907 | 76.8682 | 16.4054 |
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| 0.1969 | 12.0 | 18300 | 0.8922 | 77.1567 | 16.379 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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model.safetensors
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runs/Feb01_10-20-11_3dbee733fa81/events.out.tfevents.1706782812.3dbee733fa81.1393.0
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