| | --- |
| | base_model: bigcode/starcoderbase-1b |
| | library_name: peft |
| | license: bigcode-openrail-m |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: peft-starcoder-lora-a100 |
| | 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. --> |
| |
|
| | # peft-starcoder-lora-a100 |
| |
|
| | This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on chargoddard/commitpack-ft-instruct filtered only for Python examples |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8388 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | Intended for merging |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0005 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 30 |
| | - training_steps: 2000 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.8844 | 0.05 | 100 | 0.8664 | |
| | | 0.8718 | 0.1 | 200 | 0.8622 | |
| | | 0.8754 | 0.15 | 300 | 0.8603 | |
| | | 0.8898 | 0.2 | 400 | 0.8581 | |
| | | 0.8722 | 0.25 | 500 | 0.8565 | |
| | | 0.8592 | 0.3 | 600 | 0.8554 | |
| | | 0.8655 | 0.35 | 700 | 0.8537 | |
| | | 0.8546 | 0.4 | 800 | 0.8514 | |
| | | 0.8776 | 0.45 | 900 | 0.8493 | |
| | | 0.852 | 0.5 | 1000 | 0.8477 | |
| | | 0.8702 | 0.55 | 1100 | 0.8451 | |
| | | 0.8745 | 0.6 | 1200 | 0.8438 | |
| | | 0.8613 | 0.65 | 1300 | 0.8422 | |
| | | 0.8602 | 0.7 | 1400 | 0.8412 | |
| | | 0.8584 | 0.75 | 1500 | 0.8400 | |
| | | 0.8455 | 0.8 | 1600 | 0.8398 | |
| | | 0.8388 | 0.85 | 1700 | 0.8393 | |
| | | 0.8222 | 0.9 | 1800 | 0.8388 | |
| | | 0.8413 | 0.95 | 1900 | 0.8389 | |
| | | 0.8337 | 1.0 | 2000 | 0.8388 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.11.1 |
| | - Transformers 4.41.2 |
| | - Pytorch 2.3.1 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
