---
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: peft-starcoder-lora-a100-adalflow
  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-adalflow

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: 2.1664

## 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: Use OptimizerNames.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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6214        | 0.05  | 100  | 1.2932          |
| 0.2305        | 0.1   | 200  | 1.5985          |
| 0.1187        | 0.15  | 300  | 1.7457          |
| 0.0805        | 0.2   | 400  | 1.8529          |
| 0.0674        | 0.25  | 500  | 1.9213          |
| 0.0568        | 0.3   | 600  | 1.9515          |
| 0.0513        | 0.35  | 700  | 1.9906          |
| 0.0482        | 0.4   | 800  | 2.0139          |
| 0.0442        | 0.45  | 900  | 2.0442          |
| 0.0429        | 0.5   | 1000 | 2.0661          |
| 0.039         | 0.55  | 1100 | 2.1006          |
| 0.0372        | 0.6   | 1200 | 2.1061          |
| 0.0362        | 0.65  | 1300 | 2.1219          |
| 0.0354        | 0.7   | 1400 | 2.1374          |
| 0.0331        | 0.75  | 1500 | 2.1450          |
| 0.0313        | 0.8   | 1600 | 2.1494          |
| 0.0321        | 0.85  | 1700 | 2.1612          |
| 0.0321        | 0.9   | 1800 | 2.1665          |
| 0.0327        | 0.95  | 1900 | 2.1652          |
| 0.0325        | 1.0   | 2000 | 2.1664          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0