---
base_model: microsoft/codebert-base
tags:
- generated_from_trainer
model-index:
- name: santacoder-finetuned-the-stack-bash
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# santacoder-finetuned-the-stack-bash

This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4920

## 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: 3500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3682        | 0.14  | 500  | 4.6028          |
| 3.0913        | 0.29  | 1000 | 3.3129          |
| 3.0878        | 0.43  | 1500 | 2.8594          |
| 3.3334        | 0.57  | 2000 | 2.6359          |
| 3.1875        | 0.71  | 2500 | 2.5355          |
| 2.7736        | 0.86  | 3000 | 2.5017          |
| 3.152         | 1.0   | 3500 | 2.4920          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1