--- license: bigcode-openrail-m base_model: bigcode/starcoder tags: - generated_from_trainer model-index: - name: starcoder-c2py-testsnippet results: [] library_name: peft --- # starcoder-c2py-testsnippet This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2149 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 7e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 10 - training_steps: 100 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 9.1209 | 0.05 | 5 | 8.5383 | | 8.6626 | 0.1 | 10 | 7.4207 | | 5.4255 | 0.15 | 15 | 2.9487 | | 1.2743 | 0.2 | 20 | 0.6467 | | 0.477 | 0.25 | 25 | 0.5785 | | 0.3976 | 0.3 | 30 | 0.4535 | | 0.3388 | 0.35 | 35 | 0.3448 | | 0.3152 | 0.4 | 40 | 0.2857 | | 0.2417 | 0.45 | 45 | 0.2603 | | 0.2319 | 0.5 | 50 | 0.2460 | | 0.1906 | 0.55 | 55 | 0.2362 | | 0.1904 | 0.6 | 60 | 0.2296 | | 0.1547 | 0.65 | 65 | 0.2246 | | 0.1795 | 0.7 | 70 | 0.2214 | | 0.1609 | 0.75 | 75 | 0.2193 | | 0.2324 | 0.8 | 80 | 0.2174 | | 0.19 | 0.85 | 85 | 0.2160 | | 0.1819 | 0.9 | 90 | 0.2153 | | 0.1879 | 0.95 | 95 | 0.2150 | | 0.1499 | 1.0 | 100 | 0.2149 | ### Framework versions - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - Transformers 4.32.0.dev0 - Pytorch 2.0.1+cu117 - Datasets 2.12.0 - Tokenizers 0.13.3