---
license: bigcode-openrail-m
base_model: bigcode/santacoder
tags:
- generated_from_trainer
model-index:
- name: SCoder-APPS
  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. -->

# SCoder-APPS

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: 0.8114

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.006         | 0.04  | 200  | 1.0234          |
| 0.9936        | 0.08  | 400  | 0.9176          |
| 0.9287        | 0.12  | 600  | 0.9170          |
| 0.8434        | 0.16  | 800  | 0.8872          |
| 0.8223        | 0.2   | 1000 | 0.8750          |
| 0.8129        | 0.24  | 1200 | 0.8720          |
| 0.8612        | 0.28  | 1400 | 0.8624          |
| 0.777         | 0.32  | 1600 | 0.8426          |
| 0.7444        | 0.36  | 1800 | 0.8453          |
| 0.6214        | 0.4   | 2000 | 0.8428          |
| 0.6856        | 0.44  | 2200 | 0.8365          |
| 0.6463        | 0.48  | 2400 | 0.8379          |
| 0.5872        | 0.52  | 2600 | 0.8226          |
| 0.6271        | 0.56  | 2800 | 0.8132          |
| 0.5772        | 0.6   | 3000 | 0.8237          |
| 0.568         | 0.64  | 3200 | 0.8097          |
| 0.5718        | 0.68  | 3400 | 0.8025          |
| 0.5407        | 0.72  | 3600 | 0.8222          |
| 0.4531        | 0.76  | 3800 | 0.8164          |
| 0.5571        | 0.8   | 4000 | 0.8209          |
| 0.4933        | 0.84  | 4200 | 0.8218          |
| 0.4749        | 0.88  | 4400 | 0.8176          |
| 0.4907        | 0.92  | 4600 | 0.8137          |
| 0.5014        | 0.96  | 4800 | 0.8118          |
| 0.4701        | 1.0   | 5000 | 0.8114          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2