End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8703
-- F1: 0.6075
+- Loss: 0.8879
+- F1: 0.6233
 
 ## Model description
 
@@ -44,14 +44,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0446        | 1.0   | 563  | 0.9216          | 0.5840 |
-| 0.8689        | 2.0   | 1126 | 0.8703          | 0.6075 |
+| 1.0635        | 1.0   | 563  | 0.9928          | 0.5588 |
+| 0.8676        | 2.0   | 1126 | 0.9153          | 0.6085 |
+| 0.7652        | 3.0   | 1689 | 0.8879          | 0.6233 |
 
 
 ### Framework versions