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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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library_name: peft |
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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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- 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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- 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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