---
base_model: bigcode/starcoderbase-1b
library_name: peft
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: peft-starcoder-finetuned
  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-finetuned

This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2297

## 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: 5e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.234         | 0.0996 | 50   | 1.2381          |
| 1.0882        | 0.1992 | 100  | 1.2581          |
| 0.9431        | 0.2988 | 150  | 1.2722          |
| 0.8286        | 0.3984 | 200  | 1.2415          |
| 0.7855        | 0.4980 | 250  | 1.2368          |
| 0.7417        | 0.5976 | 300  | 1.2313          |
| 0.7189        | 0.6972 | 350  | 1.2391          |
| 0.6781        | 0.7968 | 400  | 1.2231          |
| 0.6902        | 0.8964 | 450  | 1.2234          |
| 0.653         | 0.9960 | 500  | 1.2330          |
| 0.6556        | 1.0956 | 550  | 1.2255          |
| 0.6343        | 1.1952 | 600  | 1.2197          |
| 0.606         | 1.2948 | 650  | 1.2366          |
| 0.6223        | 1.3944 | 700  | 1.2300          |
| 0.6313        | 1.4940 | 750  | 1.2340          |
| 0.6068        | 1.5936 | 800  | 1.2327          |
| 0.6012        | 1.6932 | 850  | 1.2280          |
| 0.6299        | 1.7928 | 900  | 1.2296          |
| 0.5962        | 1.8924 | 950  | 1.2293          |
| 0.6041        | 1.9920 | 1000 | 1.2297          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.3