update model card README.md

README.md

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+---
+base_model: neuralsentry/starencoder-git-commits-mlm
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: starencoder-vulnfix-classification-balanced
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# starencoder-vulnfix-classification-balanced
+
+This model is a fine-tuned version of [neuralsentry/starencoder-git-commits-mlm](https://huggingface.co/neuralsentry/starencoder-git-commits-mlm) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2253
+- Accuracy: 0.9259
+- Precision: 0.9487
+- Recall: 0.9391
+- F1: 0.9438
+- Roc Auc: 0.9195
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 420
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Roc Auc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
+| 0.3612        | 1.0   | 42   | 0.2358          | 0.9057   | 0.9691    | 0.8860 | 0.9257 | 0.9152  |
+| 0.1616        | 2.0   | 84   | 0.1950          | 0.9296   | 0.9490    | 0.9447 | 0.9468 | 0.9223  |
+| 0.074         | 3.0   | 126  | 0.2253          | 0.9259   | 0.9487    | 0.9391 | 0.9438 | 0.9195  |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.0
+- Tokenizers 0.13.3