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End of training

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  1. .gitattributes +2 -0
  2. README.md +64 -0
  3. source.spm +3 -0
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  5. target.spm +3 -0
  6. tokenizer_config.json +39 -0
  7. vocab.json +0 -0
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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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-en-mt
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - sacrebleu
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+ model-index:
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+ - name: OpusMT_Bahnaric
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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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+ # OpusMT_Bahnaric
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mt](https://huggingface.co/Helsinki-NLP/opus-mt-en-mt) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2367
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+ - Sacrebleu: 1.9800
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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: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 3
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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 | Sacrebleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|
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+ | 0.9548 | 1.0 | 812 | 1.3068 | 0.8858 |
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+ | 0.8813 | 2.0 | 1624 | 1.2535 | 1.6528 |
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+ | 0.8545 | 3.0 | 2436 | 1.2367 | 1.9800 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.3
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+ - Pytorch 2.9.0+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.1
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vocab.json ADDED
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