kazandaev
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opus-mt-ru-en-finetuned

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kazandaev commited on Feb 26, 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: 1.0678
-- Bleu: 41.9575
-- Gen Len: 26.1221
 ## Model description
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 2e-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 |
 |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
-| 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

 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: 1.0485
+- Bleu: 42.9524
+- Gen Len: 26.1412
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 1e-05
 - train_batch_size: 49
 - eval_batch_size: 24
 - seed: 42
 | Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
+| 0.8396        | 1.0   | 35147  | 1.0827          | 41.4836 | 26.1402 |
+| 0.837         | 2.0   | 70294  | 1.0735          | 41.8146 | 26.1647 |
+| 0.8266        | 3.0   | 105441 | 1.0659          | 42.0086 | 26.1026 |
+| 0.8242        | 4.0   | 140588 | 1.0624          | 42.1259 | 26.1515 |
+| 0.822         | 5.0   | 175735 | 1.0620          | 42.3133 | 26.0898 |
+| 0.8242        | 6.0   | 210882 | 1.0573          | 42.6048 | 26.0841 |
+| 0.831         | 7.0   | 246029 | 1.0567          | 42.793  | 26.0749 |
+| 0.8313        | 8.0   | 281176 | 1.0518          | 42.8092 | 26.138  |
+| 0.8354        | 9.0   | 316323 | 1.0502          | 42.8207 | 26.154  |
+| 0.8533        | 10.0  | 351470 | 1.0485          | 42.9524 | 26.1412 |
 ### Framework versions