---
license: bigcode-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoderbase-1b
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
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# 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: 1.0735

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.359         | 0.05  | 100  | 1.0245          |
| 0.9567        | 0.1   | 200  | 1.0392          |
| 1.0333        | 0.15  | 300  | 1.0454          |
| 1.3164        | 0.2   | 400  | 1.0303          |
| 0.9588        | 0.25  | 500  | 1.0433          |
| 0.6867        | 0.3   | 600  | 1.0427          |
| 0.6739        | 0.35  | 700  | 1.0514          |
| 0.9998        | 0.4   | 800  | 1.0590          |
| 0.9813        | 0.45  | 900  | 1.0560          |
| 1.1623        | 0.5   | 1000 | 1.0525          |
| 0.7074        | 0.55  | 1100 | 1.0573          |
| 0.5871        | 0.6   | 1200 | 1.0607          |
| 1.3441        | 0.65  | 1300 | 1.0656          |
| 0.8255        | 0.7   | 1400 | 1.0599          |
| 0.6594        | 0.75  | 1500 | 1.0555          |
| 0.737         | 0.8   | 1600 | 1.0668          |
| 0.7897        | 0.85  | 1700 | 1.0660          |
| 0.6235        | 0.9   | 1800 | 1.0675          |
| 1.3649        | 0.95  | 1900 | 1.0737          |
| 0.8795        | 1.0   | 2000 | 1.0735          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1