---
base_model: deepseek-ai/deepseek-coder-1.3b-base
datasets:
- Sohaib9920/code_tests
library_name: peft
license: other
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: sft_00
  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. -->

# sft_00

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on the Sohaib9920/code_tests dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2291

## 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: 0.0005
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4228        | 0.4996 | 623  | 0.3337          |
| 0.3632        | 0.9993 | 1246 | 0.2687          |
| 0.264         | 1.4989 | 1869 | 0.2418          |
| 0.2535        | 1.9986 | 2492 | 0.2291          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1