---
license: bigcode-openrail-m
base_model: bigcode/santacoder
tags:
- generated_from_trainer
model-index:
- name: santacoder-finetuned-the-stack-bash
  results: []
---

# santacoder-finetuned-the-stack-bash

This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on the dbrief dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9406

## 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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1768        | 0.1   | 500  | 1.6939          |
| 2.8451        | 0.2   | 1000 | 2.0221          |
| 3.0141        | 0.3   | 1500 | 2.1031          |
| 2.7306        | 0.4   | 2000 | 2.1053          |
| 2.3385        | 0.5   | 2500 | 2.0770          |
| 1.981         | 0.6   | 3000 | 0.9364          |
| 1.6687        | 0.7   | 3500 | 0.9637          |
| 1.2663        | 0.8   | 4000 | 0.9459          |
| 1.7485        | 0.9   | 4500 | 0.9428          |
| 1.9006        | 1.0   | 5000 | 0.9406          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3