| | --- |
| | license: bigcode-openrail-m |
| | base_model: bigcode/starcoder |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: starcoder-finetuned-cpp2py |
| | 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-finetuned-cpp2py |
| |
|
| | 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: 0.3484 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 100 |
| | - training_steps: 1000 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.892 | 0.1 | 100 | 0.4126 | |
| | | 0.4991 | 0.2 | 200 | 0.3559 | |
| | | 0.4578 | 0.3 | 300 | 0.3554 | |
| | | 0.4463 | 0.4 | 400 | 0.3514 | |
| | | 0.4381 | 0.5 | 500 | 0.3522 | |
| | | 0.4365 | 0.6 | 600 | 0.3496 | |
| | | 0.4322 | 0.7 | 700 | 0.3498 | |
| | | 0.4332 | 0.8 | 800 | 0.3485 | |
| | | 0.4297 | 0.9 | 900 | 0.3492 | |
| | | 0.432 | 1.0 | 1000 | 0.3484 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.32.0.dev0 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| |
|
