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---
base_model: bigcode/starcoderbase-1b
library_name: peft
license: bigcode-openrail-m
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: 1.0589
## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9658 | 0.05 | 100 | 0.9191 |
| 0.9898 | 0.1 | 200 | 0.9442 |
| 0.6517 | 0.15 | 300 | 0.9692 |
| 0.897 | 0.2 | 400 | 0.9819 |
| 0.95 | 0.25 | 500 | 0.9716 |
| 0.5738 | 0.3 | 600 | 1.0076 |
| 0.7986 | 0.35 | 700 | 1.0174 |
| 0.8266 | 0.4 | 800 | 1.0125 |
| 0.5204 | 0.45 | 900 | 1.0194 |
| 0.7506 | 0.5 | 1000 | 1.0321 |
| 0.7718 | 0.55 | 1100 | 1.0358 |
| 0.4749 | 0.6 | 1200 | 1.0487 |
| 0.6962 | 0.65 | 1300 | 1.0383 |
| 0.6844 | 0.7 | 1400 | 1.0467 |
| 0.5396 | 0.75 | 1500 | 1.0512 |
| 0.6569 | 0.8 | 1600 | 1.0541 |
| 0.6003 | 0.85 | 1700 | 1.0600 |
| 0.6015 | 0.9 | 1800 | 1.0633 |
| 0.5552 | 0.95 | 1900 | 1.0614 |
| 0.5883 | 1.0 | 2000 | 1.0589 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1 |