End of training

README.md

@@ -18,9 +18,9 @@ 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: 0.6207
-- Accuracy: 0.709
-- F1: 0.7820
+- Loss: 0.6359
+- Accuracy: 0.713
+- F1: 0.7817
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6273        | 1.0   | 751  | 0.5776          | 0.731    | 0.7860 |
-| 0.5542        | 2.0   | 1502 | 0.5749          | 0.741    | 0.8091 |
-| 0.4873        | 3.0   | 2253 | 0.6207          | 0.709    | 0.7820 |
+| 0.6348        | 1.0   | 751  | 0.5414          | 0.769    | 0.8241 |
+| 0.5428        | 2.0   | 1502 | 0.5873          | 0.733    | 0.8027 |
+| 0.4829        | 3.0   | 2253 | 0.6359          | 0.713    | 0.7817 |
 
 
 ### Framework versions

pytorch_model.bin

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