Training complete

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2633
-- Precision: 0.7560
-- Recall: 0.8032
-- F1: 0.7789
-- Accuracy: 0.9251
+- Loss: 0.1538
+- Precision: 0.8891
+- Recall: 0.9071
+- F1: 0.8980
+- Accuracy: 0.9591
 
 ## Model description
 
@@ -42,7 +42,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0001
 - train_batch_size: 16
 - eval_batch_size: 64
 - seed: 42
@@ -55,11 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.4805        | 0.4   | 500  | 0.4017          | 0.6644    | 0.7072 | 0.6852 | 0.8788   |
-| 0.3281        | 0.8   | 1000 | 0.2818          | 0.7416    | 0.7886 | 0.7644 | 0.9203   |
-| 0.165         | 1.2   | 1500 | 0.2653          | 0.7573    | 0.8023 | 0.7792 | 0.9244   |
-| 0.2539        | 1.6   | 2000 | 0.2633          | 0.7571    | 0.8040 | 0.7799 | 0.9252   |
-| 0.252         | 2.0   | 2500 | 0.2633          | 0.7560    | 0.8032 | 0.7789 | 0.9251   |
+| 0.088         | 0.5   | 625  | 0.2382          | 0.8027    | 0.8614 | 0.8310 | 0.9320   |
+| 0.1155        | 1.0   | 1250 | 0.1831          | 0.8518    | 0.8830 | 0.8671 | 0.9474   |
+| 0.1477        | 1.5   | 1875 | 0.1770          | 0.8814    | 0.9012 | 0.8912 | 0.9561   |
+| 0.0629        | 2.0   | 2500 | 0.1538          | 0.8891    | 0.9071 | 0.8980 | 0.9591   |
 
 
 ### Framework versions