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update model card README.md
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README.md
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---
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license: apache-2.0
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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: mt-lt-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-lt-sv-finetuned
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-lt-sv](https://huggingface.co/Helsinki-NLP/opus-mt-lt-sv) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1276
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- Bleu: 43.0025
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 1.3499 | 1.0 | 4409 | 1.2304 | 40.3211 |
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| 1.2442 | 2.0 | 8818 | 1.1870 | 41.4633 |
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| 1.1875 | 3.0 | 13227 | 1.1652 | 41.9164 |
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| 1.1386 | 4.0 | 17636 | 1.1523 | 42.3534 |
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| 1.0949 | 5.0 | 22045 | 1.1423 | 42.6339 |
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| 1.0739 | 6.0 | 26454 | 1.1373 | 42.7617 |
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| 1.0402 | 7.0 | 30863 | 1.1324 | 42.8568 |
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| 1.0369 | 8.0 | 35272 | 1.1298 | 42.9608 |
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| 1.0138 | 9.0 | 39681 | 1.1281 | 42.9833 |
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| 1.0192 | 10.0 | 44090 | 1.1276 | 43.0025 |
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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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