End of training

README.md

@@ -1,82 +1,77 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: Helsinki-NLP/opus-mt-fr-en
-tags:
-- translation
-- generated_from_trainer
-metrics:
-- bleu
-model-index:
-- name: tatoeba-fr-tok
-  results: []
-language:
-- fr
-- tok
-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-fr-tok
-
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5510
-- Bleu: 52.3650
-
-## 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    |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|
-| 1.0519        | 1.0   | 1191  | 0.8223          | 40.6014 |
-| 0.8066        | 2.0   | 2382  | 0.6942          | 42.0198 |
-| 0.6842        | 3.0   | 3573  | 0.6396          | 47.7721 |
-| 0.6268        | 4.0   | 4764  | 0.6117          | 48.8618 |
-| 0.5828        | 5.0   | 5955  | 0.5909          | 49.8247 |
-| 0.5477        | 6.0   | 7146  | 0.5773          | 50.5459 |
-| 0.5233        | 7.0   | 8337  | 0.5708          | 51.2196 |
-| 0.5005        | 8.0   | 9528  | 0.5618          | 51.4118 |
-| 0.4813        | 9.0   | 10719 | 0.5590          | 51.7320 |
-| 0.4689        | 10.0  | 11910 | 0.5551          | 51.8354 |
-| 0.4562        | 11.0  | 13101 | 0.5534          | 52.1018 |
-| 0.4456        | 12.0  | 14292 | 0.5523          | 52.0824 |
-| 0.438         | 13.0  | 15483 | 0.5519          | 52.1624 |
-| 0.4298        | 14.0  | 16674 | 0.5516          | 52.3580 |
-| 0.4269        | 15.0  | 17865 | 0.5510          | 52.4114 |
-
-
-### 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-fr-en
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: tatoeba-fr-tok
+  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-fr-tok
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6225
+- Bleu: 47.8803
+
+## 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    |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 1.1114        | 1.0   | 1167  | 0.8982          | 37.0049 |
+| 0.8626        | 2.0   | 2334  | 0.7635          | 42.3598 |
+| 0.7411        | 3.0   | 3501  | 0.7142          | 43.3202 |
+| 0.6872        | 4.0   | 4668  | 0.6826          | 45.2163 |
+| 0.6436        | 5.0   | 5835  | 0.6596          | 46.2536 |
+| 0.6095        | 6.0   | 7002  | 0.6495          | 47.2469 |
+| 0.5828        | 7.0   | 8169  | 0.6398          | 44.2553 |
+| 0.5626        | 8.0   | 9336  | 0.6323          | 46.5712 |
+| 0.542         | 9.0   | 10503 | 0.6306          | 47.7902 |
+| 0.528         | 10.0  | 11670 | 0.6264          | 46.9619 |
+| 0.512         | 11.0  | 12837 | 0.6247          | 47.1636 |
+| 0.5036        | 12.0  | 14004 | 0.6226          | 47.9356 |
+| 0.4924        | 13.0  | 15171 | 0.6232          | 47.5674 |
+| 0.4848        | 14.0  | 16338 | 0.6226          | 47.6125 |
+| 0.4824        | 15.0  | 17505 | 0.6225          | 47.5300 |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.7.1+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.1

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