---
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: starcoder-1b-hf-stack-v1-lora
  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. -->

# starcoder-1b-hf-stack-v1-lora

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: 1.4037

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0738        | 0.1   | 10   | 1.4130          |
| 1.0391        | 0.2   | 20   | 1.4104          |
| 0.9788        | 0.3   | 30   | 1.4124          |
| 1.033         | 0.4   | 40   | 1.4151          |
| 0.9991        | 0.5   | 50   | 1.4070          |
| 1.0163        | 0.6   | 60   | 1.4138          |
| 0.9945        | 0.7   | 70   | 1.4015          |
| 0.9967        | 0.8   | 80   | 1.4051          |
| 1.0755        | 0.9   | 90   | 1.4043          |
| 0.9449        | 1.0   | 100  | 1.4037          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0