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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-c2py-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-c2py-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: 0.2014
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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: 9e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 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: 10
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- training_steps: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 8.2651 | 0.1 | 10 | 4.2201 |
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| 0.9761 | 0.2 | 20 | 0.5205 |
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| 0.3183 | 0.3 | 30 | 0.2766 |
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| 0.1887 | 1.04 | 40 | 0.2384 |
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| 0.1867 | 1.14 | 50 | 0.2171 |
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| 0.1732 | 1.24 | 60 | 0.2072 |
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| 0.156 | 1.34 | 70 | 0.2034 |
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| 0.1415 | 2.08 | 80 | 0.2022 |
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| 0.1614 | 2.17 | 90 | 0.2016 |
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| 0.1568 | 2.27 | 100 | 0.2014 |
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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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