---
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: peft-lora-starcoderbase1b-personal-copilot-A100-40GB-colab-cosine
  results: []
library_name: peft
---

<!-- 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-lora-starcoderbase1b-personal-copilot-A100-40GB-colab-cosine

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: 0.4154

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8697        | 0.05  | 100  | 0.7531          |
| 0.7477        | 0.1   | 200  | 0.6309          |
| 0.7431        | 0.15  | 300  | 0.6068          |
| 0.8674        | 0.2   | 400  | 0.5779          |
| 0.7061        | 0.25  | 500  | 0.5563          |
| 0.6532        | 0.3   | 600  | 0.5014          |
| 0.7218        | 0.35  | 700  | 0.4968          |
| 0.9061        | 0.4   | 800  | 0.4863          |
| 0.5569        | 0.45  | 900  | 0.4807          |
| 0.5734        | 0.5   | 1000 | 0.4418          |
| 0.5504        | 0.55  | 1100 | 0.4403          |
| 0.6654        | 0.6   | 1200 | 0.4333          |
| 0.4556        | 0.65  | 1300 | 0.4311          |
| 0.5476        | 0.7   | 1400 | 0.4205          |
| 0.4514        | 0.75  | 1500 | 0.4161          |
| 0.3709        | 0.8   | 1600 | 0.4151          |
| 0.4068        | 0.85  | 1700 | 0.4149          |
| 0.3977        | 0.9   | 1800 | 0.4163          |
| 0.4122        | 0.95  | 1900 | 0.4155          |
| 0.3718        | 1.0   | 2000 | 0.4154          |


### Framework versions

- PEFT 0.5.0.dev0
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3