End of training

README.md

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+---
+license: bsd-3-clause
+base_model: Salesforce/codet5p-770m
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: Salesforce-codet5p-770m-finetuned-defect-detection
+  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. -->
+
+# Salesforce-codet5p-770m-finetuned-defect-detection
+
+This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/codet5p-770m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4831
+- Accuracy: 0.7337
+- F1: 0.7377
+- Precision: 0.7108
+- Recall: 0.7667
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 4711
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6813        | 1.0   | 996  | 0.5630          | 0.6898   | 0.6580 | 0.7128    | 0.6110 |
+| 0.5483        | 2.0   | 1992 | 0.5040          | 0.7103   | 0.7071 | 0.6986    | 0.7158 |
+| 0.4502        | 3.0   | 2988 | 0.4831          | 0.7337   | 0.7377 | 0.7108    | 0.7667 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0