---
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: 1.1085

- 使用ubuntu22+4090 训练步骤2000，训练时长28906秒

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0146        | 0.05  | 100  | 0.9460          |
| 0.9847        | 0.1   | 200  | 0.9616          |
| 0.608         | 0.15  | 300  | 0.9858          |
| 0.9076        | 0.2   | 400  | 0.9852          |
| 0.8904        | 0.25  | 500  | 1.0052          |
| 0.5104        | 0.3   | 600  | 1.0349          |
| 0.7794        | 0.35  | 700  | 1.0406          |
| 0.744         | 0.4   | 800  | 1.0338          |
| 0.569         | 0.45  | 900  | 1.0795          |
| 0.6755        | 0.5   | 1000 | 1.0739          |
| 0.5978        | 0.55  | 1100 | 1.0655          |
| 0.749         | 0.6   | 1200 | 1.0841          |
| 0.5411        | 0.65  | 1300 | 1.0907          |
| 0.7742        | 0.7   | 1400 | 1.0923          |
| 0.8629        | 0.75  | 1500 | 1.1010          |
| 0.469         | 0.8   | 1600 | 1.1080          |
| 0.7893        | 0.85  | 1700 | 1.1040          |
| 0.7894        | 0.9   | 1800 | 1.1055          |
| 0.4221        | 0.95  | 1900 | 1.1085          |
| 0.7565        | 1.0   | 2000 | 1.1085          |


### Framework versions

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