End of training

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6682
-- Accuracy: 0.742
-- F1: 0.8114
+- Loss: 0.6575
+- Accuracy: 0.751
+- F1: 0.8184
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6445        | 1.0   | 1502 | 0.5063          | 0.778    | 0.8377 |
-| 0.5944        | 2.0   | 3004 | 0.5070          | 0.761    | 0.8193 |
-| 0.5275        | 3.0   | 4506 | 0.6682          | 0.742    | 0.8114 |
+| 0.6351        | 1.0   | 1502 | 0.4975          | 0.783    | 0.8360 |
+| 0.6114        | 2.0   | 3004 | 0.5374          | 0.744    | 0.7949 |
+| 0.5377        | 3.0   | 4506 | 0.6575          | 0.751    | 0.8184 |
 
 
 ### Framework versions

pytorch_model.bin

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