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MarianMix_en-10

Text2Text Generation

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eldor-97 commited on Jan 29, 2022

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update model card README.md

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@@ -14,11 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
 # MarianMix_en-10
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0668
-- Bleu: 17.4306
-- Gen Len: 46.8231
 ## Model description
@@ -51,17 +51,17 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 1.9405        | 0.44  | 500  | 2.2660          | 0.0253  | 22.8633 |
-| 1.1843        | 0.89  | 1000 | 2.0616          | 0.0018  | 21.1749 |
-| 0.9938        | 1.33  | 1500 | 1.6499          | 2.3884  | 42.8784 |
-| 0.8307        | 1.78  | 2000 | 1.4181          | 6.5182  | 43.9226 |
-| 0.7281        | 2.22  | 2500 | 1.2915          | 9.27    | 44.205  |
-| 0.6684        | 2.67  | 3000 | 1.2056          | 12.5594 | 45.7598 |
-| 0.6297        | 3.11  | 3500 | 1.1529          | 14.6009 | 48.5106 |
-| 0.5787        | 3.56  | 4000 | 1.1187          | 16.3988 | 47.403  |
-| 0.5657        | 4.0   | 4500 | 1.0890          | 16.0136 | 45.2925 |
-| 0.5305        | 4.45  | 5000 | 1.0750          | 17.1562 | 47.5196 |
-| 0.5234        | 4.89  | 5500 | 1.0668          | 17.4306 | 46.8231 |
 ### Framework versions

 # MarianMix_en-10
+This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-en-ja](https://huggingface.co/Helsinki-NLP/opus-tatoeba-en-ja) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.1639
+- Bleu: 15.2673
+- Gen Len: 50.7578
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 2.2528        | 0.44  | 500  | 2.3059          | 0.2046  | 68.5206 |
+| 1.2562        | 0.89  | 1000 | 1.9629          | 1.2393  | 61.1236 |
+| 1.0764        | 1.33  | 1500 | 1.6859          | 4.1958  | 57.1075 |
+| 0.95          | 1.78  | 2000 | 1.5075          | 6.683   | 55.8533 |
+| 0.8486        | 2.22  | 2500 | 1.3848          | 9.3923  | 53.5568 |
+| 0.7887        | 2.67  | 3000 | 1.3047          | 11.7962 | 53.6583 |
+| 0.7488        | 3.11  | 3500 | 1.2574          | 12.8451 | 54.3196 |
+| 0.692         | 3.56  | 4000 | 1.2154          | 13.6083 | 51.0131 |
+| 0.6795        | 4.0   | 4500 | 1.1881          | 14.7516 | 51.6563 |
+| 0.6375        | 4.45  | 5000 | 1.1714          | 15.1401 | 51.5437 |
+| 0.6332        | 4.89  | 5500 | 1.1639          | 15.2673 | 50.7578 |
 ### Framework versions