safetensors generated_from_trainer base_model:bigcode/starcoderbase-3b license:bigcode-openrail-m region:us
---
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-3b
tags:
- generated_from_trainer
model-index:
- name: outputs
  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. -->

# outputs

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: 0.5539

## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2
- training_steps: 1500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6249        | 0.07  | 50   | 0.7391          |
| 0.367         | 0.14  | 100  | 0.6978          |
| 0.1705        | 0.21  | 150  | 0.6762          |
| 0.0863        | 0.29  | 200  | 0.6702          |
| 0.4031        | 0.36  | 250  | 0.6393          |
| 0.5025        | 0.43  | 300  | 0.6202          |
| 0.4156        | 0.5   | 350  | 0.6114          |
| 0.3885        | 0.57  | 400  | 0.6040          |
| 0.0186        | 0.64  | 450  | 0.6420          |
| 0.4009        | 0.71  | 500  | 0.6055          |
| 0.3831        | 0.79  | 550  | 0.5867          |
| 0.4876        | 0.86  | 600  | 0.5828          |
| 0.3987        | 0.93  | 650  | 0.5813          |
| 0.2669        | 1.0   | 700  | 0.5810          |
| 0.5006        | 0.75  | 750  | 0.5776          |
| 0.4844        | 1.02  | 800  | 0.5748          |
| 0.3621        | 1.07  | 850  | 0.5747          |
| 0.2021        | 1.12  | 900  | 0.5709          |
| 0.1454        | 1.17  | 950  | 0.5720          |
| 0.5536        | 1.22  | 1000 | 0.5725          |
| 0.1201        | 0.7   | 1050 | 0.5649          |
| 0.3127        | 0.73  | 1100 | 0.5599          |
| 0.3316        | 0.77  | 1150 | 0.5582          |
| 0.2635        | 0.8   | 1200 | 0.5580          |
| 0.5157        | 0.83  | 1250 | 0.5573          |
| 0.395         | 0.87  | 1300 | 0.5554          |
| 0.2694        | 0.9   | 1350 | 0.5543          |
| 0.4236        | 0.93  | 1400 | 0.5543          |
| 0.4869        | 0.97  | 1450 | 0.5541          |
| 0.3642        | 1.0   | 1500 | 0.5539          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
