peft tensorboard safetensors generated_from_trainer base_model:bigcode/starcoderbase-1b license:bigcode-openrail-m region:us
---
license: bigcode-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoderbase-1b
model-index:
- name: peft-lora-starcoder1B-Instruction-ny8-FIM
  results: []
---

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# peft-lora-starcoder1B-Instruction-ny8-FIM

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: 0.7334

## 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: 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4136        | 0.05  | 100  | 0.4006          |
| 0.3674        | 0.1   | 200  | 0.3744          |
| 0.3428        | 0.15  | 300  | 0.3908          |
| 0.2882        | 0.2   | 400  | 0.4563          |
| 0.2344        | 0.25  | 500  | 0.5462          |
| 0.2087        | 0.3   | 600  | 0.5874          |
| 0.1942        | 0.35  | 700  | 0.6157          |
| 0.1865        | 0.4   | 800  | 0.6388          |
| 0.1813        | 0.45  | 900  | 0.6572          |
| 0.1783        | 0.5   | 1000 | 0.6639          |
| 0.1711        | 0.55  | 1100 | 0.6755          |
| 0.166         | 0.6   | 1200 | 0.6996          |
| 0.1613        | 0.65  | 1300 | 0.7046          |
| 0.1597        | 0.7   | 1400 | 0.7062          |
| 0.1545        | 0.75  | 1500 | 0.7185          |
| 0.1532        | 0.8   | 1600 | 0.7227          |
| 0.1499        | 0.85  | 1700 | 0.7315          |
| 0.151         | 0.9   | 1800 | 0.7326          |
| 0.1494        | 0.95  | 1900 | 0.7333          |
| 0.1506        | 1.0   | 2000 | 0.7334          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0