metadata
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: []
Salesforce-codet5p-220m-finetuned-defect-detection
This model is a fine-tuned version of 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