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# peft-lora-starcoder1B-Instruction-ny8-MIX

This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1670

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- 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: 30
- training_steps: 150
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1662        | 0.67  | 100  | 0.1670          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
{"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "bigcode/starcoderbase-1b", "model-index": [{"name": "peft-lora-starcoder1B-Instruction-ny8-MIX", "results": []}]}
peft tensorboard safetensors generated_from_trainer base_model:bigcode/starcoderbase-1b license:bigcode-openrail-m region:us