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--- |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: microsoft/codebert-base-mlm |
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datasets: |
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- apps |
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model-index: |
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- name: SFTCodeBertbase-mlm-APPS5k |
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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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# SFTCodeBertbase-mlm-APPS5k |
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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 apps dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9251 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 5000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.2308 | 1.61 | 500 | 2.3196 | |
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| 2.1364 | 3.22 | 1000 | 2.1168 | |
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| 1.9211 | 4.83 | 1500 | 2.0125 | |
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| 1.776 | 6.44 | 2000 | 1.9736 | |
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| 1.6872 | 8.05 | 2500 | 1.9470 | |
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| 1.6137 | 9.65 | 3000 | 1.9344 | |
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| 1.5724 | 11.26 | 3500 | 1.9288 | |
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| 1.533 | 12.87 | 4000 | 1.9267 | |
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| 1.5211 | 14.48 | 4500 | 1.9246 | |
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| 1.5115 | 16.09 | 5000 | 1.9251 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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