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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-ar-en |
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tags: |
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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: darija-latin-to-english-new |
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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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# darija-latin-to-english-new |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0570 |
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- Bleu: 23.5668 |
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- Gen Len: 8.8618 |
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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: 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: 2 |
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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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| 0.0178 | 0.24 | 500 | 0.0630 | 18.503 | 9.3352 | |
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| 0.0165 | 0.48 | 1000 | 0.0615 | 19.3363 | 9.6601 | |
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| 0.0154 | 0.72 | 1500 | 0.0600 | 20.7491 | 9.3712 | |
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| 0.0154 | 0.96 | 2000 | 0.0587 | 22.3931 | 9.2534 | |
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| 0.0131 | 1.2 | 2500 | 0.0584 | 23.1796 | 9.3425 | |
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| 0.0128 | 1.44 | 3000 | 0.0579 | 22.4839 | 9.0177 | |
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| 0.0138 | 1.68 | 3500 | 0.0573 | 22.3119 | 9.1767 | |
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| 0.0138 | 1.92 | 4000 | 0.0570 | 23.5668 | 8.8618 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.2 |
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