---
license: openrail
tags:
- generated_from_trainer
model-index:
- name: santacoder-finetuned-the-stack-dockerfiles
  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-dockerfiles

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: 0.8741

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 10000

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3691        | 0.05  | 500   | 1.2915          |
| 1.267         | 0.1   | 1000  | 1.1962          |
| 1.1998        | 0.15  | 1500  | 1.1459          |
| 1.0753        | 0.2   | 2000  | 1.1130          |
| 1.0762        | 0.25  | 2500  | 1.0797          |
| 1.1222        | 0.3   | 3000  | 1.0532          |
| 1.0542        | 0.35  | 3500  | 1.0282          |
| 1.0853        | 0.4   | 4000  | 1.0050          |
| 1.0619        | 0.45  | 4500  | 0.9803          |
| 1.0484        | 0.5   | 5000  | 0.9587          |
| 0.9795        | 0.55  | 5500  | 0.9501          |
| 0.9439        | 0.6   | 6000  | 0.9294          |
| 0.9642        | 0.65  | 6500  | 0.9143          |
| 0.935         | 0.7   | 7000  | 0.9028          |
| 0.836         | 0.75  | 7500  | 0.8936          |
| 0.9128        | 0.8   | 8000  | 0.8844          |
| 0.9286        | 0.85  | 8500  | 0.8795          |
| 0.9899        | 0.9   | 9000  | 0.8758          |
| 0.8307        | 0.95  | 9500  | 0.8745          |
| 0.9366        | 1.0   | 10000 | 0.8741          |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2