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--- |
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license: apache-2.0 |
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language: |
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- hr |
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- sv |
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tags: |
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- generated_from_trainer |
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- translation |
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model-index: |
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- name: mt-hr-sv-finetuned |
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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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# mt-hr-sv-finetuned |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-hr-sv](https://huggingface.co/Helsinki-NLP/opus-mt-hr-sv) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.9565 |
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- eval_bleu: 49.8248 |
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- eval_runtime: 873.8605 |
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- eval_samples_per_second: 16.982 |
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- eval_steps_per_second: 4.246 |
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- epoch: 5.0 |
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- step: 27825 |
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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: 5e-06 |
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- train_batch_size: 24 |
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- eval_batch_size: 4 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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