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README.md
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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-tune-cpp2py-snippet1
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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-tune-cpp2py-snippet1
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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: 0.3914
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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: 0.0003
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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: 50
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- training_steps: 500
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.7375 | 0.1 | 50 | 0.3869 |
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| 0.4809 | 0.2 | 100 | 0.3847 |
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| 0.4753 | 0.3 | 150 | 0.3898 |
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| 0.4472 | 0.4 | 200 | 0.3882 |
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| 0.4509 | 0.5 | 250 | 0.3938 |
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| 0.4369 | 0.6 | 300 | 0.3897 |
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| 0.432 | 0.7 | 350 | 0.3968 |
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| 0.4324 | 0.8 | 400 | 0.3917 |
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| 0.4219 | 0.9 | 450 | 0.3920 |
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| 0.4314 | 1.0 | 500 | 0.3914 |
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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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