---
library_name: peft
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: 1.1557

## 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
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- 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: 30
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9702        | 0.05  | 100  | 0.9343          |
| 0.8928        | 0.1   | 200  | 0.9666          |
| 0.5992        | 0.15  | 300  | 0.9979          |
| 0.8611        | 0.2   | 400  | 1.0115          |
| 0.7631        | 0.25  | 500  | 1.0335          |
| 0.7289        | 0.3   | 600  | 1.0624          |
| 0.7408        | 0.35  | 700  | 1.0725          |
| 0.5599        | 0.4   | 800  | 1.0900          |
| 0.7736        | 0.45  | 900  | 1.0943          |
| 0.7176        | 0.5   | 1000 | 1.1147          |
| 0.4677        | 0.55  | 1100 | 1.1284          |
| 0.6916        | 0.6   | 1200 | 1.1149          |
| 0.5944        | 0.65  | 1300 | 1.1357          |
| 0.66          | 0.7   | 1400 | 1.1425          |
| 0.6722        | 0.75  | 1500 | 1.1408          |
| 0.4843        | 0.8   | 1600 | 1.1575          |
| 0.742         | 0.85  | 1700 | 1.1553          |
| 0.6307        | 0.9   | 1800 | 1.1540          |
| 0.5652        | 0.95  | 1900 | 1.1576          |
| 0.6771        | 1.0   | 2000 | 1.1557          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1