---
license: bigcode-openrail-m
tags:
- generated_from_trainer
datasets:
- crumb/Clean-Instruct-440k
model-index:
- name: starchat-clean
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# starchat-clean

This model is a fine-tuned version of [bigcode/starcoderbase](https://huggingface.co/bigcode/starcoderbase) on the crumb/Clean-Instruct-440k dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2266

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4135        | 0.99  | 55   | 1.3103          |
| 1.3429        | 2.0   | 111  | 1.2430          |
| 1.2432        | 2.98  | 166  | 1.2283          |
| 1.2808        | 3.96  | 220  | 1.2266          |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.13.1
- Tokenizers 0.13.3