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tatoeba-tok-en

Translation
Transformers
Safetensors
Toki Pona
English
marian
text2text-generation
Generated from Trainer
Model card Files
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Community
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End of training

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  1. README.md +77 -82
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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- ---
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- library_name: transformers
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- license: cc-by-4.0
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- base_model: Helsinki-NLP/opus-mt-ru-en
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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-en
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- results: []
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- language:
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- - tok
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- - en
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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-en
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-
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- This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-en](https://huggingface.co/Helsinki-NLP/opus-mt-ru-en) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.2592
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- - Bleu: 29.1279
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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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- | 1.8219 | 1.0 | 1191 | 1.5580 | 19.0829 |
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- | 1.5109 | 2.0 | 2382 | 1.4230 | 21.9843 |
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- | 1.3393 | 3.0 | 3573 | 1.3615 | 24.0361 |
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- | 1.2413 | 4.0 | 4764 | 1.3271 | 25.3217 |
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- | 1.153 | 5.0 | 5955 | 1.3020 | 25.6161 |
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- | 1.0914 | 6.0 | 7146 | 1.2895 | 26.3484 |
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- | 1.0391 | 7.0 | 8337 | 1.2793 | 27.4374 |
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- | 0.9976 | 8.0 | 9528 | 1.2725 | 26.6194 |
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- | 0.9602 | 9.0 | 10719 | 1.2668 | 27.9413 |
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- | 0.9298 | 10.0 | 11910 | 1.2638 | 27.9782 |
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- | 0.9061 | 11.0 | 13101 | 1.2625 | 29.1200 |
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- | 0.8829 | 12.0 | 14292 | 1.2605 | 28.6655 |
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- | 0.866 | 13.0 | 15483 | 1.2595 | 28.9858 |
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- | 0.8501 | 14.0 | 16674 | 1.2593 | 29.1486 |
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- | 0.8468 | 15.0 | 17865 | 1.2592 | 29.0868 |
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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: cc-by-4.0
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+ base_model: Helsinki-NLP/opus-mt-ru-en
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+ tags:
6
+ - translation
7
+ - generated_from_trainer
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+ metrics:
9
+ - bleu
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+ model-index:
11
+ - name: tatoeba-tok-en
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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-en
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-en](https://huggingface.co/Helsinki-NLP/opus-mt-ru-en) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4103
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+ - Bleu: 24.8720
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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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+ | 1.9475 | 1.0 | 1167 | 1.7238 | 18.0675 |
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+ | 1.6448 | 2.0 | 2334 | 1.5780 | 20.8358 |
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+ | 1.4672 | 3.0 | 3501 | 1.5123 | 22.5640 |
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+ | 1.3647 | 4.0 | 4668 | 1.4765 | 23.4342 |
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+ | 1.2831 | 5.0 | 5835 | 1.4523 | 24.3822 |
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+ | 1.2213 | 6.0 | 7002 | 1.4393 | 24.6540 |
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+ | 1.1609 | 7.0 | 8169 | 1.4295 | 25.0382 |
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+ | 1.1231 | 8.0 | 9336 | 1.4235 | 24.8617 |
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+ | 1.076 | 9.0 | 10503 | 1.4165 | 23.6289 |
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+ | 1.0489 | 10.0 | 11670 | 1.4162 | 25.8471 |
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+ | 1.0174 | 11.0 | 12837 | 1.4112 | 25.1640 |
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+ | 0.9961 | 12.0 | 14004 | 1.4114 | 22.6132 |
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+ | 0.9735 | 13.0 | 15171 | 1.4110 | 25.1948 |
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+ | 0.9597 | 14.0 | 16338 | 1.4103 | 23.6949 |
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+ | 0.9519 | 15.0 | 17505 | 1.4107 | 24.2304 |
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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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