seara
/

rubert-tiny2-russian-sentiment

Text Classification

sentiment-analysis

multi-class-classification

sentiment analysis

Inference Endpoints

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seara commited on Aug 24, 2023

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@@ -56,7 +56,7 @@ __Download links for all Russian sentiment datasets collected by Smetanin can be
 Training were done in this [project](https://github.com/searayeah/vkr-bert) with this parameters:
 ```yaml
-max_length: 512
 batch_size: 64
 optimizer: adam
 lr: 0.00001
@@ -74,7 +74,7 @@ Train/validation/test splits are 80%/10%/10%.
 |precision|0.69   |0.83    |0.74    |0.75     |0.75        |
 |recall   |0.73   |0.82    |0.68    |0.75     |0.75        |
 |f1-score |0.71   |0.83    |0.71    |0.75     |0.75        |
-|support  |5196   |3831    |3599    |12626    |12626       |
 |auc-roc  |0.84   |0.95    |0.90    |0.90     |0.89        |

 Training were done in this [project](https://github.com/searayeah/vkr-bert) with this parameters:
 ```yaml
+tokenizer.max_length: 512
 batch_size: 64
 optimizer: adam
 lr: 0.00001
 |precision|0.69   |0.83    |0.74    |0.75     |0.75        |
 |recall   |0.73   |0.82    |0.68    |0.75     |0.75        |
 |f1-score |0.71   |0.83    |0.71    |0.75     |0.75        |
 |auc-roc  |0.84   |0.95    |0.90    |0.90     |0.89        |
+|support  |5196   |3831    |3599    |12626    |12626       |