---
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0550

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0005        | 0.05  | 100  | 0.9347          |
| 0.9939        | 0.1   | 200  | 0.9456          |
| 0.6657        | 0.15  | 300  | 0.9741          |
| 0.876         | 0.2   | 400  | 0.9765          |
| 0.9736        | 0.25  | 500  | 0.9916          |
| 0.5713        | 0.3   | 600  | 0.9979          |
| 0.7916        | 0.35  | 700  | 1.0035          |
| 0.8799        | 0.4   | 800  | 1.0083          |
| 0.5209        | 0.45  | 900  | 1.0225          |
| 0.7409        | 0.5   | 1000 | 1.0318          |
| 0.7843        | 0.55  | 1100 | 1.0195          |
| 0.4715        | 0.6   | 1200 | 1.0547          |
| 0.7062        | 0.65  | 1300 | 1.0521          |
| 0.6678        | 0.7   | 1400 | 1.0479          |
| 0.5542        | 0.75  | 1500 | 1.0527          |
| 0.6735        | 0.8   | 1600 | 1.0521          |
| 0.591         | 0.85  | 1700 | 1.0556          |
| 0.619         | 0.9   | 1800 | 1.0586          |
| 0.5836        | 0.95  | 1900 | 1.0570          |
| 0.6231        | 1.0   | 2000 | 1.0550          |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3