---
library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: EMS_all_100_code-starcoder-lora-batch_5_steps_2000
  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. -->

# EMS_all_100_code-starcoder-lora-batch_5_steps_2000

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: 0.0754

## 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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Use OptimizerNames.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: 30
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4337        | 0.05  | 100  | 0.4904          |
| 0.373         | 0.1   | 200  | 0.4160          |
| 0.3501        | 0.15  | 300  | 0.3527          |
| 0.3281        | 0.2   | 400  | 0.3125          |
| 0.3763        | 0.25  | 500  | 0.2503          |
| 0.3108        | 0.3   | 600  | 0.2096          |
| 0.1534        | 0.35  | 700  | 0.1892          |
| 0.1325        | 0.4   | 800  | 0.1768          |
| 0.1551        | 0.45  | 900  | 0.1536          |
| 0.1844        | 0.5   | 1000 | 0.1318          |
| 0.1422        | 0.55  | 1100 | 0.1180          |
| 0.1249        | 0.6   | 1200 | 0.1058          |
| 0.1034        | 0.65  | 1300 | 0.0981          |
| 0.0926        | 0.7   | 1400 | 0.0924          |
| 0.1352        | 0.75  | 1500 | 0.0868          |
| 0.1232        | 0.8   | 1600 | 0.0819          |
| 0.1071        | 0.85  | 1700 | 0.0783          |
| 0.0879        | 0.9   | 1800 | 0.0763          |
| 0.1067        | 0.95  | 1900 | 0.0755          |
| 0.1266        | 1.0   | 2000 | 0.0754          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.3