kazandaev
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opus-mt-en-ru-finetuned

Text2Text Generation

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kazandaev commited on Feb 25, 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: 0.8507
-- Bleu: 37.437
-- Gen Len: 29.7346
 ## Model description
@@ -37,7 +37,7 @@ 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
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
-| 1.0227        | 1.0   | 35147  | 1.0416          | 31.7423 | 29.8013 |
-| 1.0436        | 2.0   | 70294  | 1.0003          | 33.2249 | 29.7658 |
-| 1.0809        | 3.0   | 105441 | 0.9807          | 33.0416 | 29.8545 |
-| 1.0372        | 4.0   | 140588 | 0.9553          | 34.4976 | 29.5749 |
-| 1.005         | 5.0   | 175735 | 0.9314          | 34.9103 | 29.8389 |
-| 0.9791        | 6.0   | 210882 | 0.9099          | 35.6278 | 29.9223 |
-| 0.9516        | 7.0   | 246029 | 0.8845          | 36.3031 | 29.6568 |
-| 0.9179        | 8.0   | 281176 | 0.8612          | 36.9006 | 29.7967 |
-| 0.8932        | 9.0   | 316323 | 0.8576          | 37.074  | 29.7828 |
-| 0.8784        | 10.0  | 351470 | 0.8507          | 37.437  | 29.7346 |
 ### 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: 0.8061
+- Bleu: 39.3089
+- Gen Len: 29.6895
 ## 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 |
 |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
+| 0.8593        | 1.0   | 35147  | 0.8723          | 37.1365 | 29.6618 |
+| 0.8611        | 2.0   | 70294  | 0.8582          | 37.6328 | 29.7661 |
+| 0.8825        | 3.0   | 105441 | 0.8529          | 37.2852 | 29.9074 |
+| 0.8644        | 4.0   | 140588 | 0.8432          | 38.088  | 29.632  |
+| 0.8555        | 5.0   | 175735 | 0.8341          | 37.9338 | 29.8584 |
+| 0.8492        | 6.0   | 210882 | 0.8281          | 38.4253 | 29.7771 |
+| 0.845         | 7.0   | 246029 | 0.8190          | 38.8127 | 29.818  |
+| 0.8338        | 8.0   | 281176 | 0.8080          | 39.2423 | 29.7133 |
+| 0.8327        | 9.0   | 316323 | 0.8080          | 39.082  | 29.7484 |
+| 0.8396        | 10.0  | 351470 | 0.8061          | 39.3089 | 29.6895 |
 ### Framework versions