End of training

README.md

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+---
+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: 1.2814
+- 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

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      62517
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 62517,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 62517,
+  "renormalize_logits": true,
+  "transformers_version": "4.52.4"
+}

model.safetensors

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+oid sha256:f2f493886734a0399627a28952737e76e7b182d7aed75b94cd233cc421ce07a7
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