---
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
library_name: peft
model-index:
- name: Test_Training_v3
  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. -->

# Test_Training_v3

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: 1.5622

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4169        | 0.05  | 100  | 0.9127          |
| 0.2774        | 0.1   | 200  | 0.9903          |
| 0.1967        | 0.15  | 300  | 1.1247          |
| 0.1572        | 0.2   | 400  | 1.1690          |
| 0.1649        | 0.25  | 500  | 1.2579          |
| 0.123         | 0.3   | 600  | 1.2884          |
| 0.1023        | 0.35  | 700  | 1.3079          |
| 0.0777        | 0.4   | 800  | 1.3562          |
| 0.0674        | 0.45  | 900  | 1.4247          |
| 0.0704        | 0.5   | 1000 | 1.4536          |
| 0.0715        | 0.55  | 1100 | 1.4713          |
| 0.0502        | 0.6   | 1200 | 1.4968          |
| 0.0553        | 0.65  | 1300 | 1.5002          |
| 0.0505        | 0.7   | 1400 | 1.5015          |
| 0.043         | 0.75  | 1500 | 1.5359          |
| 0.0458        | 0.8   | 1600 | 1.5474          |
| 0.0355        | 0.85  | 1700 | 1.5581          |
| 0.0438        | 0.9   | 1800 | 1.5616          |
| 0.0507        | 0.95  | 1900 | 1.5633          |
| 0.0378        | 1.0   | 2000 | 1.5622          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 3.6.0
- Tokenizers 0.19.1