---
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: peft-lora-starcoder15B-v2-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-starcoder15B-v2-personal-copilot-A100-40GB-colab

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: 7.5615

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: tpu
- gradient_accumulation_steps: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.2182        | 0.05  | 100  | 8.4091          |
| 4.5691        | 0.1   | 200  | 9.6057          |
| 6.4441        | 0.15  | 300  | 7.8901          |
| 3.1214        | 0.2   | 400  | 9.3116          |
| 6.8473        | 0.25  | 500  | 7.8618          |
| 6.7939        | 0.3   | 600  | 7.5668          |
| 5.145         | 0.35  | 700  | 7.8765          |
| 4.678         | 0.4   | 800  | 7.4816          |
| 3.0478        | 0.45  | 900  | 8.1724          |
| 5.1993        | 0.5   | 1000 | 7.5839          |
| 6.2314        | 0.55  | 1100 | 7.6065          |
| 4.3643        | 0.6   | 1200 | 9.1999          |
| 2.8909        | 0.65  | 1300 | 7.7913          |
| 6.477         | 0.7   | 1400 | 7.4454          |
| 6.2981        | 0.75  | 1500 | 8.6974          |
| 5.7769        | 0.8   | 1600 | 8.3724          |
| 5.6318        | 0.85  | 1700 | 7.5465          |
| 4.9988        | 0.9   | 1800 | 7.5232          |
| 4.7996        | 0.95  | 1900 | 7.5701          |
| 3.7886        | 1.0   | 2000 | 7.5615          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.14.1