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NetherQuartz
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tatoeba-tok-ru

Translation
Transformers
Safetensors
Toki Pona
Russian
marian
text2text-generation
Generated from Trainer
Model card Files
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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-ru
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- tags:
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- - translation
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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: tatoeba-tok-ru
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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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- # tatoeba-tok-ru
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-
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- This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.4694
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- - Bleu: 20.4311
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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 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: 15
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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 |
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- |:-------------:|:-----:|:-----:|:---------------:|:-------:|
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- | 2.0538 | 1.0 | 1167 | 1.7944 | 7.2757 |
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- | 1.7461 | 2.0 | 2334 | 1.6562 | 14.4046 |
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- | 1.5644 | 3.0 | 3501 | 1.5849 | 15.8651 |
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- | 1.4611 | 4.0 | 4668 | 1.5486 | 16.9808 |
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- | 1.3698 | 5.0 | 5835 | 1.5209 | 15.9727 |
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- | 1.305 | 6.0 | 7002 | 1.5049 | 18.1714 |
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- | 1.2458 | 7.0 | 8169 | 1.4947 | 18.7180 |
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- | 1.2006 | 8.0 | 9336 | 1.4868 | 19.5074 |
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- | 1.1555 | 9.0 | 10503 | 1.4800 | 19.5799 |
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- | 1.1251 | 10.0 | 11670 | 1.4759 | 20.0295 |
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- | 1.091 | 11.0 | 12837 | 1.4741 | 20.1306 |
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- | 1.0701 | 12.0 | 14004 | 1.4710 | 19.7831 |
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- | 1.0433 | 13.0 | 15171 | 1.4715 | 20.5833 |
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- | 1.0359 | 14.0 | 16338 | 1.4694 | 20.3306 |
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- | 1.0263 | 15.0 | 17505 | 1.4702 | 20.3269 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.52.4
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- - Pytorch 2.7.1+cu128
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- - Datasets 3.6.0
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- - Tokenizers 0.21.1
 
 
 
 
 
 
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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-ru
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+ tags:
6
+ - translation
7
+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: tatoeba-tok-ru
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+ results: []
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+ language:
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+ - tok
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+ - ru
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+ datasets:
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+ - NetherQuartz/tatoeba-tokipona
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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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+ # tatoeba-tok-ru
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4694
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+ - Bleu: 20.4311
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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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+
36
+ More information needed
37
+
38
+ ## Training and evaluation data
39
+
40
+ 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
49
+ - eval_batch_size: 64
50
+ - seed: 42
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+ - optimizer: Use OptimizerNames.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: 15
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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 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|
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+ | 2.0538 | 1.0 | 1167 | 1.7944 | 7.2757 |
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+ | 1.7461 | 2.0 | 2334 | 1.6562 | 14.4046 |
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+ | 1.5644 | 3.0 | 3501 | 1.5849 | 15.8651 |
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+ | 1.4611 | 4.0 | 4668 | 1.5486 | 16.9808 |
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+ | 1.3698 | 5.0 | 5835 | 1.5209 | 15.9727 |
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+ | 1.305 | 6.0 | 7002 | 1.5049 | 18.1714 |
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+ | 1.2458 | 7.0 | 8169 | 1.4947 | 18.7180 |
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+ | 1.2006 | 8.0 | 9336 | 1.4868 | 19.5074 |
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+ | 1.1555 | 9.0 | 10503 | 1.4800 | 19.5799 |
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+ | 1.1251 | 10.0 | 11670 | 1.4759 | 20.0295 |
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+ | 1.091 | 11.0 | 12837 | 1.4741 | 20.1306 |
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+ | 1.0701 | 12.0 | 14004 | 1.4710 | 19.7831 |
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+ | 1.0433 | 13.0 | 15171 | 1.4715 | 20.5833 |
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+ | 1.0359 | 14.0 | 16338 | 1.4694 | 20.3306 |
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+ | 1.0263 | 15.0 | 17505 | 1.4702 | 20.3269 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.52.4
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+ - Pytorch 2.7.1+cu128
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1