---
base_model: bigcode/starcoderbase-1b
library_name: peft
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: out
  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. -->

# out

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: 0.7275

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.849         | 0.05  | 100  | 0.7259          |
| 0.777         | 0.1   | 200  | 0.7328          |
| 0.71          | 0.15  | 300  | 0.7398          |
| 0.7214        | 0.2   | 400  | 0.7538          |
| 0.6868        | 0.25  | 500  | 0.7621          |
| 0.8951        | 0.3   | 600  | 0.7636          |
| 0.9411        | 0.35  | 700  | 0.7690          |
| 0.9354        | 0.4   | 800  | 0.7763          |
| 0.8658        | 0.45  | 900  | 0.7617          |
| 0.7322        | 0.5   | 1000 | 0.7428          |
| 0.8219        | 0.55  | 1100 | 0.7444          |
| 0.8431        | 0.6   | 1200 | 0.7444          |
| 0.8644        | 0.65  | 1300 | 0.7459          |
| 0.8033        | 0.7   | 1400 | 0.7449          |
| 0.77          | 0.75  | 1500 | 0.7398          |
| 0.3502        | 0.8   | 1600 | 0.7405          |
| 0.5107        | 0.85  | 1700 | 0.7308          |
| 0.8587        | 0.9   | 1800 | 0.7265          |
| 0.714         | 0.95  | 1900 | 0.7277          |
| 0.7406        | 1.0   | 2000 | 0.7275          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1