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---
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: 1.0245
## 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
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0225 | 0.05 | 100 | 0.9304 |
| 0.9014 | 0.1 | 200 | 0.9658 |
| 0.9073 | 0.15 | 300 | 0.9545 |
| 0.9972 | 0.2 | 400 | 0.9646 |
| 0.7643 | 0.25 | 500 | 0.9684 |
| 0.6368 | 0.3 | 600 | 0.9883 |
| 0.9734 | 0.35 | 700 | 0.9911 |
| 0.7982 | 0.4 | 800 | 0.9931 |
| 0.8817 | 0.45 | 900 | 0.9882 |
| 0.9066 | 0.5 | 1000 | 0.9844 |
| 0.68 | 0.55 | 1100 | 0.9939 |
| 0.567 | 0.6 | 1200 | 1.0073 |
| 0.9689 | 0.65 | 1300 | 1.0144 |
| 0.7144 | 0.7 | 1400 | 1.0118 |
| 0.9057 | 0.75 | 1500 | 1.0160 |
| 0.8037 | 0.8 | 1600 | 1.0134 |
| 0.6627 | 0.85 | 1700 | 1.0128 |
| 0.5017 | 0.9 | 1800 | 1.0169 |
| 1.0044 | 0.95 | 1900 | 1.0256 |
| 0.7229 | 1.0 | 2000 | 1.0245 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |