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-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5729
-- Accuracy: 0.738
-- F1: 0.8085
+- Loss: 0.5410
+- Accuracy: 0.755
+- F1: 0.8236
 
 ## Model description
 
@@ -44,15 +44,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 376  | 0.5447          | 0.744    | 0.8210 |
-| 0.5956        | 2.0   | 752  | 0.5605          | 0.731    | 0.8041 |
-| 0.5284        | 3.0   | 1128 | 0.5729          | 0.738    | 0.8085 |
+| No log        | 1.0   | 376  | 0.5455          | 0.73     | 0.8146 |
+| 0.6185        | 2.0   | 752  | 0.5410          | 0.755    | 0.8236 |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Jul03_06-05-56_2590cd314c81/events.out.tfevents.1688364379.2590cd314c81.1033.2

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