Model save

README.md

@@ -20,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6683
-- Accuracy: 0.6808
-- Precision: 0.1013
-- Recall: 0.7748
-- F1 Score: 0.1792
-- F2 Score: 0.3326
-- Gmean: 0.7239
+- Loss: 0.6498
+- Accuracy: 0.7011
+- Precision: 0.1086
+- Recall: 0.7838
+- F1 Score: 0.1908
+- F2 Score: 0.3494
+- Gmean: 0.7392
 
 ## Model description
 
@@ -51,14 +51,13 @@ 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: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score | F2 Score | Gmean  |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:--------:|:------:|
-| 0.7092        | 1.0   | 197  | 0.7116          | 0.6391   | 0.0860    | 0.7297 | 0.1538   | 0.2922   | 0.6806 |
-| 0.6241        | 2.0   | 394  | 0.6683          | 0.6808   | 0.1013    | 0.7748 | 0.1792   | 0.3326   | 0.7239 |
+| 0.5509        | 1.0   | 197  | 0.6498          | 0.7011   | 0.1086    | 0.7838 | 0.1908   | 0.3494   | 0.7392 |
 
 
 ### Framework versions