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--- |
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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: CommitPredictor |
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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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# CommitPredictor |
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This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8427 |
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- Accuracy: 0.6409 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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- num_epochs: 50 |
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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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| No log | 1.0 | 292 | 2.2754 | 0.5767 | |
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| 2.5787 | 2.0 | 584 | 2.2006 | 0.5877 | |
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| 2.5787 | 3.0 | 876 | 2.0851 | 0.5953 | |
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| 2.2167 | 4.0 | 1168 | 2.0148 | 0.6142 | |
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| 2.2167 | 5.0 | 1460 | 1.9583 | 0.6144 | |
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| 2.064 | 6.0 | 1752 | 1.8846 | 0.6309 | |
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| 1.9626 | 7.0 | 2044 | 1.9399 | 0.6247 | |
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| 1.9626 | 8.0 | 2336 | 1.8423 | 0.6401 | |
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| 1.8671 | 9.0 | 2628 | 1.8065 | 0.6407 | |
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| 1.8671 | 10.0 | 2920 | 1.7582 | 0.6507 | |
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| 1.7957 | 11.0 | 3212 | 1.7978 | 0.6479 | |
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| 1.7226 | 12.0 | 3504 | 1.8058 | 0.6521 | |
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| 1.7226 | 13.0 | 3796 | 1.8427 | 0.6409 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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