---
base_model: bigcode/starcoderbase-1b
library_name: peft
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: peft-starcoder-finetuned
  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-finetuned

This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2169

## 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: 5e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 5000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8313        | 0.9960 | 500  | 1.2189          |
| 0.5881        | 1.9920 | 1000 | 1.2062          |
| 0.5283        | 2.9880 | 1500 | 1.2020          |
| 0.4928        | 3.9841 | 2000 | 1.1926          |
| 0.4682        | 4.9801 | 2500 | 1.2326          |
| 0.4481        | 5.9761 | 3000 | 1.2139          |
| 0.4383        | 6.9721 | 3500 | 1.2099          |
| 0.4305        | 7.9681 | 4000 | 1.2161          |
| 0.4251        | 8.9641 | 4500 | 1.2138          |
| 0.423         | 9.9602 | 5000 | 1.2169          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.3