Model save

README.md

@@ -16,8 +16,8 @@ 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: 1.0280
-- Accuracy: 0.6658
+- Loss: 0.9008
+- Accuracy: 0.7575
 
 ## Model description
 
@@ -36,22 +36,20 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 0.0002
 - train_batch_size: 64
 - eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 2
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9018        | 1.0   | 548  | 0.8207          | 0.6720   |
-| 0.7497        | 2.0   | 1096 | 0.8052          | 0.6841   |
-| 0.6127        | 3.0   | 1644 | 0.8947          | 0.6682   |
-| 0.4669        | 4.0   | 2192 | 1.0280          | 0.6658   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.8474        | 1.0   | 6171  | 0.8942          | 0.7575   |
+| 0.8348        | 2.0   | 12342 | 0.9008          | 0.7575   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 711497521