Pushing Data-Lab/rubert-base-cased-conversational_ner-v2 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 [DeepPavlov/rubert-base-cased-conversational](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1045
-- Precision: 0.9259
-- Recall: 0.9375
-- F1: 0.9317
-- Accuracy: 0.9781
+- Loss: 0.1360
+- Precision: 0.7324
+- Recall: 0.7939
+- F1: 0.7619
+- Accuracy: 0.9289
 
 ## Model description
 
@@ -54,14 +54,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 40   | 0.3025          | 0.6627    | 0.6875 | 0.6748 | 0.9103   |
-| No log        | 2.0   | 80   | 0.1169          | 0.8276    | 0.9    | 0.8623 | 0.9694   |
-| No log        | 3.0   | 120  | 0.1045          | 0.9259    | 0.9375 | 0.9317 | 0.9781   |
+| No log        | 1.0   | 60   | 0.2248          | 0.5069    | 0.5573 | 0.5309 | 0.8591   |
+| No log        | 2.0   | 120  | 0.1435          | 0.6966    | 0.7710 | 0.7319 | 0.9289   |
+| No log        | 3.0   | 180  | 0.1360          | 0.7324    | 0.7939 | 0.7619 | 0.9289   |
 
 
 ### Framework versions
 
 - Transformers 4.33.1
-- Pytorch 2.0.1+cu117
-- Datasets 2.14.5
+- Pytorch 2.0.1
+- Datasets 2.14.4
 - Tokenizers 0.13.3

pytorch_model.bin

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 size 709137833