End of training

README.md

@@ -1,82 +1,77 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: Helsinki-NLP/opus-mt-en-fr
-tags:
-- translation
-- generated_from_trainer
-metrics:
-- bleu
-model-index:
-- name: tatoeba-tok-fr
-  results: []
-language:
-- tok
-- fr
-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-fr
-
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.1553
-- Bleu: 25.5784
-
-## 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    |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|
-| 1.6694        | 1.0   | 1191  | 1.4313          | 10.3946 |
-| 1.3912        | 2.0   | 2382  | 1.3126          | 13.6560 |
-| 1.2392        | 3.0   | 3573  | 1.2537          | 17.0019 |
-| 1.1588        | 4.0   | 4764  | 1.2192          | 18.7724 |
-| 1.0771        | 5.0   | 5955  | 1.1979          | 20.9107 |
-| 1.0286        | 6.0   | 7146  | 1.1833          | 20.6531 |
-| 0.9811        | 7.0   | 8337  | 1.1729          | 21.5879 |
-| 0.9408        | 8.0   | 9528  | 1.1683          | 23.5977 |
-| 0.9098        | 9.0   | 10719 | 1.1628          | 22.6276 |
-| 0.8779        | 10.0  | 11910 | 1.1606          | 24.4778 |
-| 0.8544        | 11.0  | 13101 | 1.1569          | 21.2881 |
-| 0.8392        | 12.0  | 14292 | 1.1574          | 24.3027 |
-| 0.822         | 13.0  | 15483 | 1.1553          | 23.2965 |
-| 0.8126        | 14.0  | 16674 | 1.1560          | 24.8968 |
-| 0.8067        | 15.0  | 17865 | 1.1556          | 25.9533 |
-
-
-### 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-fr
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: tatoeba-tok-fr
+  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-fr
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3544
+- Bleu: 23.4181
+
+## 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    |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 1.8608        | 1.0   | 1167  | 1.6433          | 13.4398 |
+| 1.593         | 2.0   | 2334  | 1.5195          | 17.7658 |
+| 1.4354        | 3.0   | 3501  | 1.4565          | 15.5366 |
+| 1.3449        | 4.0   | 4668  | 1.4217          | 19.8814 |
+| 1.2681        | 5.0   | 5835  | 1.4016          | 19.6534 |
+| 1.2046        | 6.0   | 7002  | 1.3853          | 21.0562 |
+| 1.1545        | 7.0   | 8169  | 1.3738          | 19.8606 |
+| 1.1186        | 8.0   | 9336  | 1.3694          | 20.6401 |
+| 1.0803        | 9.0   | 10503 | 1.3615          | 20.3338 |
+| 1.0504        | 10.0  | 11670 | 1.3601          | 23.0924 |
+| 1.021         | 11.0  | 12837 | 1.3570          | 22.4592 |
+| 1.0041        | 12.0  | 14004 | 1.3547          | 22.5261 |
+| 0.9865        | 13.0  | 15171 | 1.3546          | 23.0413 |
+| 0.9706        | 14.0  | 16338 | 1.3544          | 23.1603 |
+| 0.9658        | 15.0  | 17505 | 1.3548          | 23.7041 |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.7.1+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.1

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