---
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: santacoder-finetuned-mbpp
  results: []
---

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# santacoder-finetuned-mbpp

This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on the mbpp dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3571

## 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: 1e-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: 10
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.317         | 0.27  | 25   | 0.3747          |
| 0.1146        | 0.53  | 50   | 0.3775          |
| 0.576         | 0.8   | 75   | 0.3562          |
| 0.344         | 1.07  | 100  | 0.3571          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3