kazandaev
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opus-mt-ru-en-finetuned

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kazandaev commited on Feb 25, 2022

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update model card README.md

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@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned](https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1124
-- Bleu: 39.6748
-- Gen Len: 26.0628
 ## Model description
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
 - train_batch_size: 49
 - eval_batch_size: 24
 - seed: 42
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
-| 1.172         | 1.0   | 35147  | 1.2856          | 34.1563 | 26.1419 |
-| 1.1403        | 2.0   | 70294  | 1.2595          | 34.8515 | 26.198  |
-| 1.0997        | 3.0   | 105441 | 1.2305          | 35.7998 | 26.115  |
-| 1.0711        | 4.0   | 140588 | 1.2111          | 36.5266 | 26.17   |
-| 1.0392        | 5.0   | 175735 | 1.1953          | 36.9092 | 26.0507 |
-| 1.0109        | 6.0   | 210882 | 1.1662          | 37.7652 | 26.0546 |
-| 0.9878        | 7.0   | 246029 | 1.1542          | 38.4936 | 25.9766 |
-| 0.9573        | 8.0   | 281176 | 1.1298          | 39.06   | 26.1242 |
-| 0.9263        | 9.0   | 316323 | 1.1214          | 39.5778 | 26.0582 |
-| 0.9132        | 10.0  | 351470 | 1.1124          | 39.6748 | 26.0628 |
 ### Framework versions

 This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned](https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.0678
+- Bleu: 41.9575
+- Gen Len: 26.1221
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 2e-05
 - train_batch_size: 49
 - eval_batch_size: 24
 - seed: 42
 | Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
+| 0.9398        | 1.0   | 35147  | 1.1344          | 39.1234 | 26.0997 |
+| 0.9278        | 2.0   | 70294  | 1.1184          | 39.6701 | 26.2065 |
+| 0.9076        | 3.0   | 105441 | 1.1048          | 39.7062 | 26.0862 |
+| 0.8972        | 4.0   | 140588 | 1.0987          | 40.106  | 26.105  |
+| 0.8859        | 5.0   | 175735 | 1.0959          | 40.6067 | 26.1026 |
+| 0.8788        | 6.0   | 210882 | 1.0849          | 41.1633 | 26.0607 |
+| 0.8767        | 7.0   | 246029 | 1.0835          | 41.3413 | 26.0259 |
+| 0.8681        | 8.0   | 281176 | 1.0742          | 41.4849 | 26.1068 |
+| 0.8615        | 9.0   | 316323 | 1.0714          | 42.0031 | 26.1483 |
+| 0.87          | 10.0  | 351470 | 1.0678          | 41.9575 | 26.1221 |
 ### Framework versions