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--- |
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library_name: transformers |
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base_model: microsoft/CodeGPT-small-java |
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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: microsoft_CodeGPT-small-java_1_ft_clm |
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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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# microsoft_CodeGPT-small-java_1_ft_clm |
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This model is a fine-tuned version of [microsoft/CodeGPT-small-java](https://huggingface.co/microsoft/CodeGPT-small-java) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2841 |
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- Accuracy: 0.7565 |
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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: 8e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 24 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.02 |
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- num_epochs: 5 |
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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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| 0.6967 | 0.5028 | 500 | 1.3162 | 0.7521 | |
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| 0.6481 | 1.0050 | 1000 | 1.3002 | 0.7551 | |
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| 0.6091 | 1.5078 | 1500 | 1.2965 | 0.7550 | |
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| 0.6091 | 2.0101 | 2000 | 1.2894 | 0.7556 | |
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| 0.5805 | 2.5128 | 2500 | 1.2918 | 0.7556 | |
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| 0.557 | 3.0151 | 3000 | 1.2862 | 0.7559 | |
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| 0.5513 | 3.5178 | 3500 | 1.2841 | 0.7565 | |
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| 0.5468 | 4.0201 | 4000 | 1.2849 | 0.7562 | |
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| 0.5513 | 4.5229 | 4500 | 1.2895 | 0.7559 | |
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### Framework versions |
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- Transformers 4.53.0 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.2 |
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