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: 0.0000
-- F1: 1.0
-- Accuracy: 1.0
-- Precision: 1.0
-- Recall: 1.0
+- Loss: 0.0719
+- F1: 0.9900
+- Accuracy: 0.99
+- Precision: 0.9902
+- Recall: 0.99
 
 ## Model description
 
@@ -44,8 +44,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 128
-- eval_batch_size: 128
+- train_batch_size: 256
+- eval_batch_size: 256
 - 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
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
-| No log        | 0     | 0    | 0.7035          | 0.3005 | 0.47     | 0.2209    | 0.47   |
-| 0.0018        | 6.25  | 50   | 0.0000          | 1.0    | 1.0      | 1.0       | 1.0    |
-| 0.0001        | 12.5  | 100  | 0.0000          | 1.0    | 1.0      | 1.0       | 1.0    |
+| 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   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:052b4e4e50379a4f4c8d1fe6cf41320e9faf20d895498d444c5488c0e7b6d9b0
+oid sha256:d9611af1a1d70ba8343dff7d5d24f6e62d126c7f86f61af5b378fbf5b7c5a6fc
 size 166917412