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---
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## Training procedure
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license: bigcode-openrail-m
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base_model: bigcode/starcoder
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tags:
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- generated_from_trainer
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model-index:
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- name: starcoder-finetuned-cpp2py-2
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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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# starcoder-finetuned-cpp2py-2
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This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2748
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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-06
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 16
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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: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.3296 | 0.1 | 100 | 0.2904 |
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| 0.312 | 0.2 | 200 | 0.2813 |
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| 0.3061 | 0.3 | 300 | 0.2789 |
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| 0.3012 | 0.4 | 400 | 0.2772 |
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| 0.301 | 0.5 | 500 | 0.2762 |
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| 0.3014 | 0.6 | 600 | 0.2756 |
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| 0.2975 | 0.7 | 700 | 0.2751 |
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| 0.2975 | 0.8 | 800 | 0.2748 |
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| 0.2989 | 0.9 | 900 | 0.2748 |
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| 0.2984 | 1.0 | 1000 | 0.2748 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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