Pushing ruRoberta-large_ner model to Hugging Face Hub

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0824
-- Precision: 0.7879
-- Recall: 0.8667
-- F1: 0.8254
-- Accuracy: 0.9667
+- Loss: 0.1853
+- Precision: 0.7273
+- Recall: 0.8
+- F1: 0.7619
+- Accuracy: 0.9333
 
 ## Model description
 
@@ -54,9 +54,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 15   | 0.2732          | 0.5833    | 0.7    | 0.6364 | 0.88     |
-| No log        | 2.0   | 30   | 0.1424          | 0.7059    | 0.8    | 0.7500 | 0.94     |
-| No log        | 3.0   | 45   | 0.0824          | 0.7879    | 0.8667 | 0.8254 | 0.9667   |
+| No log        | 1.0   | 15   | 0.4171          | 0.5833    | 0.7    | 0.6364 | 0.8067   |
+| No log        | 2.0   | 30   | 0.2306          | 0.6765    | 0.7667 | 0.7188 | 0.9      |
+| No log        | 3.0   | 45   | 0.1853          | 0.7273    | 0.8    | 0.7619 | 0.9333   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 1417396454