---
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: 5.6557

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.5246        | 0.05  | 100  | 7.4569          |
| 5.6178        | 0.1   | 200  | 7.2622          |
| 5.1291        | 0.15  | 300  | 6.4100          |
| 5.0522        | 0.2   | 400  | 6.3068          |
| 5.2029        | 0.25  | 500  | 6.1171          |
| 4.6541        | 0.3   | 600  | 6.0183          |
| 5.1002        | 0.35  | 700  | 6.0004          |
| 5.0498        | 0.4   | 800  | 5.8895          |
| 4.5412        | 0.45  | 900  | 5.8138          |
| 5.0007        | 0.5   | 1000 | 5.8342          |
| 5.0265        | 0.55  | 1100 | 5.7819          |
| 4.4118        | 0.6   | 1200 | 5.7206          |
| 4.7825        | 0.65  | 1300 | 5.7364          |
| 4.9802        | 0.7   | 1400 | 5.7123          |
| 4.3687        | 0.75  | 1500 | 5.6896          |
| 4.8847        | 0.8   | 1600 | 5.6759          |
| 4.9144        | 0.85  | 1700 | 5.6624          |
| 4.2487        | 0.9   | 1800 | 5.6601          |
| 4.7984        | 0.95  | 1900 | 5.6640          |
| 4.7042        | 1.0   | 2000 | 5.6557          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0