End of training
Browse files- README.md +65 -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: CodeBertForClone-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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# CodeBertForClone-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: 0.4183
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- Accuracy: 0.834
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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: 24000.0
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- num_epochs: 5
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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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| 0.3291 | 1.0 | 5000 | 0.3769 | 0.8285 |
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| 0.3053 | 2.0 | 10000 | 0.3781 | 0.8345 |
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| 0.3319 | 3.0 | 15000 | 0.3811 | 0.847 |
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| 0.3007 | 4.0 | 20000 | 0.3990 | 0.8413 |
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| 0.291 | 5.0 | 25000 | 0.4183 | 0.834 |
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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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size 498612824
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version https://git-lfs.github.com/spec/v1
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size 498612824
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