kazandaev
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opus-mt-en-ru-finetuned

Text2Text Generation

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kazandaev commited on Feb 27, 2022

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update model card README.md

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@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [kazandaev/opus-mt-en-ru-finetuned](https://huggingface.co/kazandaev/opus-mt-en-ru-finetuned) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7867
-- Bleu: 40.0684
-- Gen Len: 29.6714
 ## Model description
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
 - train_batch_size: 49
 - eval_batch_size: 24
 - seed: 42
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
-| 0.7728        | 1.0   | 35147  | 0.8184          | 38.866  | 30.0397 |
-| 0.779         | 2.0   | 70294  | 0.8131          | 39.1716 | 29.8013 |
-| 0.8029        | 3.0   | 105441 | 0.8097          | 39.0735 | 29.8549 |
-| 0.7938        | 4.0   | 140588 | 0.8050          | 39.4177 | 29.709  |
-| 0.7944        | 5.0   | 175735 | 0.8002          | 39.5476 | 29.7991 |
-| 0.7966        | 6.0   | 210882 | 0.7981          | 39.5658 | 29.808  |
-| 0.8016        | 7.0   | 246029 | 0.7932          | 39.8693 | 29.7747 |
-| 0.7997        | 8.0   | 281176 | 0.7874          | 40.0442 | 29.6934 |
-| 0.8083        | 9.0   | 316323 | 0.7875          | 40.0731 | 29.6948 |
-| 0.8248        | 10.0  | 351470 | 0.7867          | 40.0684 | 29.6714 |
 ### Framework versions

 This model is a fine-tuned version of [kazandaev/opus-mt-en-ru-finetuned](https://huggingface.co/kazandaev/opus-mt-en-ru-finetuned) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.7772
+- Bleu: 40.4878
+- Gen Len: 29.7466
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 5e-06
 - train_batch_size: 49
 - eval_batch_size: 24
 - seed: 42
 | Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
+| 0.7247        | 1.0   | 35147  | 0.7926          | 40.1369 | 29.7264 |
+| 0.7336        | 2.0   | 70294  | 0.7913          | 40.242  | 29.737  |
+| 0.7593        | 3.0   | 105441 | 0.7899          | 40.1589 | 29.7651 |
+| 0.7547        | 4.0   | 140588 | 0.7871          | 40.3547 | 29.6178 |
+| 0.7601        | 5.0   | 175735 | 0.7842          | 40.3533 | 29.7711 |
+| 0.7671        | 6.0   | 210882 | 0.7831          | 40.4168 | 29.7175 |
+| 0.7777        | 7.0   | 246029 | 0.7806          | 40.506  | 29.7661 |
+| 0.7816        | 8.0   | 281176 | 0.7777          | 40.7829 | 29.6526 |
+| 0.7961        | 9.0   | 316323 | 0.7775          | 40.4808 | 29.7885 |
+| 0.8187        | 10.0  | 351470 | 0.7772          | 40.4878 | 29.7466 |
 ### Framework versions