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

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: 5.9439

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.8019        | 0.05  | 100  | 8.1006          |
| 5.9737        | 0.1   | 200  | 7.2985          |
| 5.1109        | 0.15  | 300  | 6.3542          |
| 5.0956        | 0.2   | 400  | 6.2918          |
| 5.2913        | 0.25  | 500  | 6.1454          |
| 4.6567        | 0.3   | 600  | 6.0157          |
| 5.1439        | 0.35  | 700  | 6.0052          |
| 5.2159        | 0.4   | 800  | 6.0141          |
| 4.7227        | 0.45  | 900  | 5.9708          |
| 5.2372        | 0.5   | 1000 | 5.9662          |
| 5.5667        | 0.55  | 1100 | 6.1102          |
| 4.6813        | 0.6   | 1200 | 5.9753          |
| 5.1002        | 0.65  | 1300 | 5.9829          |
| 5.327         | 0.7   | 1400 | 5.9327          |
| 4.6781        | 0.75  | 1500 | 5.9415          |
| 5.2732        | 0.8   | 1600 | 5.9264          |
| 5.2995        | 0.85  | 1700 | 5.9178          |
| 4.5842        | 0.9   | 1800 | 5.9290          |
| 5.2401        | 0.95  | 1900 | 5.9506          |
| 5.1396        | 1.0   | 2000 | 5.9439          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0