End of training

README.md

@@ -1,82 +1,77 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: Helsinki-NLP/opus-mt-en-ru
-tags:
-- translation
-- generated_from_trainer
-metrics:
-- bleu
-model-index:
-- name: tatoeba-tok-ru
-  results: []
-language:
-- tok
-- ru
-datasets:
-- NetherQuartz/tatoeba-tokipona
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# tatoeba-tok-ru
-
-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.
-It achieves the following results on the evaluation set:
-- Loss: 1.2814
-- Bleu: 20.1964
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 15
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|
-| 1.8552        | 1.0   | 1191  | 1.5926          | 15.4114 |
-| 1.5457        | 2.0   | 2382  | 1.4561          | 15.1718 |
-| 1.3759        | 3.0   | 3573  | 1.3928          | 17.4022 |
-| 1.2746        | 4.0   | 4764  | 1.3579          | 17.9203 |
-| 1.1881        | 5.0   | 5955  | 1.3325          | 16.7076 |
-| 1.1198        | 6.0   | 7146  | 1.3132          | 16.4193 |
-| 1.0649        | 7.0   | 8337  | 1.3032          | 15.8687 |
-| 1.0231        | 8.0   | 9528  | 1.2974          | 18.9312 |
-| 0.9834        | 9.0   | 10719 | 1.2912          | 19.6730 |
-| 0.9546        | 10.0  | 11910 | 1.2860          | 19.2357 |
-| 0.9249        | 11.0  | 13101 | 1.2850          | 19.9692 |
-| 0.9043        | 12.0  | 14292 | 1.2844          | 20.0704 |
-| 0.8841        | 13.0  | 15483 | 1.2814          | 20.1964 |
-| 0.8728        | 14.0  | 16674 | 1.2819          | 19.9601 |
-| 0.8677        | 15.0  | 17865 | 1.2815          | 20.2073 |
-
-
-### Framework versions
-
-- Transformers 4.52.4
-- Pytorch 2.7.1+cu128
-- Datasets 3.6.0
-- Tokenizers 0.21.1
+---
+library_name: transformers
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-ru
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: tatoeba-tok-ru
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# tatoeba-tok-ru
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.4694
+- Bleu: 20.4311
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 2.0538        | 1.0   | 1167  | 1.7944          | 7.2757  |
+| 1.7461        | 2.0   | 2334  | 1.6562          | 14.4046 |
+| 1.5644        | 3.0   | 3501  | 1.5849          | 15.8651 |
+| 1.4611        | 4.0   | 4668  | 1.5486          | 16.9808 |
+| 1.3698        | 5.0   | 5835  | 1.5209          | 15.9727 |
+| 1.305         | 6.0   | 7002  | 1.5049          | 18.1714 |
+| 1.2458        | 7.0   | 8169  | 1.4947          | 18.7180 |
+| 1.2006        | 8.0   | 9336  | 1.4868          | 19.5074 |
+| 1.1555        | 9.0   | 10503 | 1.4800          | 19.5799 |
+| 1.1251        | 10.0  | 11670 | 1.4759          | 20.0295 |
+| 1.091         | 11.0  | 12837 | 1.4741          | 20.1306 |
+| 1.0701        | 12.0  | 14004 | 1.4710          | 19.7831 |
+| 1.0433        | 13.0  | 15171 | 1.4715          | 20.5833 |
+| 1.0359        | 14.0  | 16338 | 1.4694          | 20.3306 |
+| 1.0263        | 15.0  | 17505 | 1.4702          | 20.3269 |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.7.1+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.1

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