---
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-7b
tags:
- generated_from_trainer
model-index:
- name: peft-lora-starcoderbase7b-personal-copilot-A100-40GB-colab
  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-lora-starcoderbase7b-personal-copilot-A100-40GB-colab

This model is a fine-tuned version of [bigcode/starcoderbase-7b](https://huggingface.co/bigcode/starcoderbase-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5210

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.737         | 0.1   | 100  | 0.6840          |
| 0.7086        | 0.2   | 200  | 0.6227          |
| 0.721         | 0.3   | 300  | 0.5667          |
| 0.6248        | 0.4   | 400  | 0.5434          |
| 0.5456        | 0.5   | 500  | 0.5394          |
| 0.5964        | 0.6   | 600  | 0.5293          |
| 0.5655        | 0.7   | 700  | 0.5220          |
| 0.6456        | 0.8   | 800  | 0.5213          |
| 0.5496        | 0.9   | 900  | 0.5206          |
| 0.6356        | 1.0   | 1000 | 0.5210          |


### Framework versions

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