End of training
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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base_model: microsoft/codebert-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: CodeBertForDefect-Detection
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# CodeBertForDefect-Detection
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This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9039
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- Accuracy: 0.6435
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 13112.4
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.6483 | 1.0 | 1366 | 0.6494 | 0.5637 |
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| 0.6213 | 2.0 | 2732 | 0.5968 | 0.6380 |
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| 0.5927 | 3.0 | 4098 | 0.5767 | 0.6457 |
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| 0.5615 | 4.0 | 5464 | 0.5855 | 0.6669 |
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| 0.5271 | 5.0 | 6830 | 0.6677 | 0.6643 |
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| 0.4488 | 6.0 | 8196 | 0.7177 | 0.6237 |
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| 0.4576 | 7.0 | 9562 | 0.6643 | 0.6398 |
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| 0.45 | 8.0 | 10928 | 0.7414 | 0.6479 |
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| 0.4156 | 9.0 | 12294 | 0.9852 | 0.6519 |
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| 0.3362 | 10.0 | 13660 | 0.9039 | 0.6435 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 498612824
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version https://git-lfs.github.com/spec/v1
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size 498612824
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