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---
license: bigcode-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoderbase-3b
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-3b](https://huggingface.co/bigcode/starcoderbase-3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8938
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2519 | 0.05 | 100 | 1.2670 |
| 1.1574 | 0.1 | 200 | 1.2857 |
| 1.0988 | 0.15 | 300 | 1.3103 |
| 0.9577 | 0.2 | 400 | 1.3922 |
| 0.9345 | 0.25 | 500 | 1.4669 |
| 0.8145 | 0.3 | 600 | 1.5009 |
| 0.7423 | 0.35 | 700 | 1.5764 |
| 0.7225 | 0.4 | 800 | 1.6063 |
| 0.6379 | 0.45 | 900 | 1.6696 |
| 0.6335 | 0.5 | 1000 | 1.7408 |
| 0.5733 | 0.55 | 1100 | 1.7548 |
| 0.5503 | 0.6 | 1200 | 1.7962 |
| 0.5309 | 0.65 | 1300 | 1.7991 |
| 0.4949 | 0.7 | 1400 | 1.8356 |
| 0.4961 | 0.75 | 1500 | 1.8625 |
| 0.4769 | 0.8 | 1600 | 1.8737 |
| 0.4658 | 0.85 | 1700 | 1.8858 |
| 0.4655 | 0.9 | 1800 | 1.8888 |
| 0.4604 | 0.95 | 1900 | 1.8943 |
| 0.4568 | 1.0 | 2000 | 1.8938 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |