Model save

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0719
-- F1: 0.9900
-- Accuracy: 0.99
-- Precision: 0.9902
-- Recall: 0.99
+- Loss: 0.0041
+- F1: 1.0
+- Accuracy: 1.0
+- Precision: 1.0
+- Recall: 1.0
 
 ## Model description
 
@@ -44,8 +44,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 256
-- eval_batch_size: 256
+- train_batch_size: 320
+- eval_batch_size: 320
 - seed: 2024
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
@@ -57,8 +57,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
 | No log        | 0     | 0    | 0.6985          | 0.3223 | 0.49     | 0.2401    | 0.49   |
-| 0.0           | 12.5  | 50   | 0.0716          | 0.9900 | 0.99     | 0.9902    | 0.99   |
-| 0.0           | 25.0  | 100  | 0.0719          | 0.9900 | 0.99     | 0.9902    | 0.99   |
+| 0.0001        | 12.5  | 50   | 0.0044          | 1.0    | 1.0      | 1.0       | 1.0    |
+| 0.0001        | 25.0  | 100  | 0.0041          | 1.0    | 1.0      | 1.0       | 1.0    |
 
 
 ### Framework versions