End of training

README.md

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+---
+license: bsd-3-clause
+base_model: Salesforce/codet5p-220m
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: Salesforce-codet5p-220m-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-220m-finetuned-defect-detection
+
+This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5107
+- Accuracy: 0.7108
+- F1: 0.7079
+- Precision: 0.6987
+- Recall: 0.7174
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 4711
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6934        | 1.0   | 997  | 0.5894          | 0.6632   | 0.5788 | 0.7435    | 0.4738 |
+| 0.572         | 2.0   | 1994 | 0.5250          | 0.7063   | 0.7057 | 0.6911    | 0.7210 |
+| 0.4947        | 3.0   | 2991 | 0.5107          | 0.7108   | 0.7079 | 0.6987    | 0.7174 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0