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README.md
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---
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---
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## Training procedure
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### Framework versions
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- PEFT 0.5.0.dev0
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- PEFT 0.5.0.dev0
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- PEFT 0.5.0.dev0
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- PEFT 0.5.0.dev0
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- PEFT 0.5.0.dev0
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- PEFT 0.5.0.dev0
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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-c2py-testsnippet
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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-testsnippet
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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: 0.2149
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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: 7e-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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- 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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| 9.1209 | 0.05 | 5 | 8.5383 |
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| 8.6626 | 0.1 | 10 | 7.4207 |
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| 5.4255 | 0.15 | 15 | 2.9487 |
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| 1.2743 | 0.2 | 20 | 0.6467 |
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| 0.477 | 0.25 | 25 | 0.5785 |
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| 0.3976 | 0.3 | 30 | 0.4535 |
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| 0.3388 | 0.35 | 35 | 0.3448 |
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| 0.3152 | 0.4 | 40 | 0.2857 |
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| 0.2417 | 0.45 | 45 | 0.2603 |
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| 0.2319 | 0.5 | 50 | 0.2460 |
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| 0.1906 | 0.55 | 55 | 0.2362 |
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| 0.1904 | 0.6 | 60 | 0.2296 |
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| 0.1547 | 0.65 | 65 | 0.2246 |
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| 0.1795 | 0.7 | 70 | 0.2214 |
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| 0.1609 | 0.75 | 75 | 0.2193 |
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| 0.2324 | 0.8 | 80 | 0.2174 |
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| 0.19 | 0.85 | 85 | 0.2160 |
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| 0.1819 | 0.9 | 90 | 0.2153 |
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| 0.1879 | 0.95 | 95 | 0.2150 |
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| 0.1499 | 1.0 | 100 | 0.2149 |
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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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