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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: Helsinki-NLP/opus-mt-mul-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: my_yoruba_translator_new1
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+ results: []
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+ ---
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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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+
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+ # my_yoruba_translator_new1
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mul-en](https://huggingface.co/Helsinki-NLP/opus-mt-mul-en) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.4760
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+ - Bleu: 19.1364
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+ - Gen Len: 24.5459
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 6
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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+ | No log | 1.0 | 252 | 2.6553 | 17.4458 | 25.2511 |
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+ | 2.9795 | 2.0 | 504 | 2.5441 | 18.4384 | 26.4764 |
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+ | 2.9795 | 3.0 | 756 | 2.5060 | 18.9805 | 24.5285 |
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+ | 2.3359 | 4.0 | 1008 | 2.4875 | 19.0552 | 25.3161 |
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+ | 2.3359 | 5.0 | 1260 | 2.4766 | 19.2483 | 25.4734 |
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+ | 2.1524 | 6.0 | 1512 | 2.4760 | 19.1364 | 24.5459 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.4.0
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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+ "renormalize_logits": true,
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+ "transformers_version": "4.46.3"
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