---
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
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: 0.4433

## 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: 2
- eval_batch_size: 2
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.45          | 0.05  | 100  | 0.4334          |
| 0.413         | 0.1   | 200  | 0.4235          |
| 0.396         | 0.15  | 300  | 0.4189          |
| 0.3702        | 0.2   | 400  | 0.4082          |
| 0.356         | 0.25  | 500  | 0.4072          |
| 0.3429        | 0.3   | 600  | 0.4129          |
| 0.3375        | 0.35  | 700  | 0.4136          |
| 0.3181        | 0.4   | 800  | 0.4080          |
| 0.3057        | 0.45  | 900  | 0.4187          |
| 0.2956        | 0.5   | 1000 | 0.4214          |
| 0.2761        | 0.55  | 1100 | 0.4261          |
| 0.2805        | 0.6   | 1200 | 0.4275          |
| 0.2697        | 0.65  | 1300 | 0.4294          |
| 0.2556        | 0.7   | 1400 | 0.4338          |
| 0.2578        | 0.75  | 1500 | 0.4339          |
| 0.2427        | 0.8   | 1600 | 0.4401          |
| 0.245         | 0.85  | 1700 | 0.4423          |
| 0.248         | 0.9   | 1800 | 0.4435          |
| 0.2377        | 0.95  | 1900 | 0.4436          |
| 0.2466        | 1.0   | 2000 | 0.4433          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1