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---
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## Training procedure
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---
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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-test_newSnippet
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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-test_newSnippet
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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: 0.1728
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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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: 80
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- training_steps: 800
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.5787 | 0.06 | 50 | 0.3535 |
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| 0.236 | 0.12 | 100 | 0.1948 |
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| 0.1862 | 1.01 | 150 | 0.1847 |
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| 0.1866 | 1.07 | 200 | 0.1808 |
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| 0.1838 | 1.13 | 250 | 0.1794 |
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| 0.1718 | 2.02 | 300 | 0.1772 |
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| 0.1796 | 2.08 | 350 | 0.1761 |
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| 0.178 | 2.14 | 400 | 0.1762 |
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| 0.1666 | 3.03 | 450 | 0.1743 |
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| 0.1772 | 3.09 | 500 | 0.1739 |
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| 0.1739 | 3.15 | 550 | 0.1746 |
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| 0.1652 | 4.04 | 600 | 0.1731 |
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| 0.1755 | 4.1 | 650 | 0.1731 |
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| 0.1706 | 4.16 | 700 | 0.1735 |
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| 0.1668 | 5.04 | 750 | 0.1728 |
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| 0.1747 | 5.11 | 800 | 0.1728 |
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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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