Model save

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [textattack/roberta-base-ag-news](https://huggingface.co/textattack/roberta-base-ag-news) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1938
-- Accuracy: 0.9470
-- F1: 0.9469
-- Precision: 0.9469
-- Recall: 0.9470
+- Loss: 0.2200
+- Accuracy: 0.9443
+- F1: 0.9444
+- Precision: 0.9444
+- Recall: 0.9443
 
 ## Model description
 
@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 50
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.062         | 0.0133 | 50   | 0.1938          | 0.9470   | 0.9469 | 0.9469    | 0.9470 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.108         | 1.0   | 3750 | 0.2200          | 0.9443   | 0.9444 | 0.9444    | 0.9443 |
 
 
 ### Framework versions