---
license: openrail
tags:
- generated_from_trainer
model-index:
- name: santacoder-finetuned-the-stack-bash-3
  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. -->

# santacoder-finetuned-the-stack-bash-3

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

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0           | 0.1   | 500  | nan             |
| 0.0           | 0.2   | 1000 | nan             |
| 0.0           | 0.3   | 1500 | nan             |
| 0.0           | 0.4   | 2000 | nan             |
| 0.0           | 0.5   | 2500 | nan             |
| 0.0           | 0.6   | 3000 | nan             |
| 0.0           | 0.7   | 3500 | nan             |
| 0.0           | 0.8   | 4000 | nan             |
| 0.0           | 0.9   | 4500 | nan             |
| 0.0           | 1.0   | 5000 | nan             |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2