---
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
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: 6.6613

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- 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: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.6431        | 0.05  | 100  | 6.9272          |
| 5.7486        | 0.1   | 200  | 7.0303          |
| 5.452         | 0.15  | 300  | 6.8401          |
| 5.5812        | 0.2   | 400  | 6.9055          |
| 5.9           | 0.25  | 500  | 6.9231          |
| 5.3105        | 0.3   | 600  | 6.8938          |
| 5.792         | 0.35  | 700  | 6.6707          |
| 6.0344        | 0.4   | 800  | 6.7873          |
| 5.4302        | 0.45  | 900  | 6.9783          |
| 5.9707        | 0.5   | 1000 | 6.8064          |
| 5.9979        | 0.55  | 1100 | 6.6769          |
| 5.4383        | 0.6   | 1200 | 6.7186          |
| 5.8372        | 0.65  | 1300 | 6.8070          |
| 6.0431        | 0.7   | 1400 | 6.6933          |
| 5.2884        | 0.75  | 1500 | 6.7594          |
| 5.8948        | 0.8   | 1600 | 6.7177          |
| 5.9268        | 0.85  | 1700 | 6.6410          |
| 5.1566        | 0.9   | 1800 | 6.6744          |
| 5.803         | 0.95  | 1900 | 6.6598          |
| 5.6748        | 1.0   | 2000 | 6.6613          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.14.1