| --- |
| license: bigcode-openrail-m |
| base_model: bigcode/starcoder |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: starcoder-cpp2py-newsnippet1 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # starcoder-cpp2py-newsnippet1 |
|
|
| 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: 0.1964 |
|
|
| ## 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: 9e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 256 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 15 |
| - training_steps: 150 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 4.3875 | 0.17 | 25 | 0.4694 | |
| | 0.2947 | 0.33 | 50 | 0.2126 | |
| | 0.2152 | 0.5 | 75 | 0.2016 | |
| | 0.2054 | 0.67 | 100 | 0.1974 | |
| | 0.2004 | 0.83 | 125 | 0.1966 | |
| | 0.1883 | 1.05 | 150 | 0.1964 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.32.0.dev0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
