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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: TheBloke/Mistral-7B-Instruct-v0.1-GPTQ
model-index:
- name: get_python
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. -->
# get_python
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GPTQ) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5718
## Model description
This model can convert a given pseudo-code or algorithm to Python source code.
## Intended uses & limitations
This model can be used by reasearchers, students and developers who are struggling to convert algorithms to code.
## Training and evaluation data
The model was trained using ananyarn/Algorithm_and_Python_Source_Code.
<!--## Training procedure-->
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-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: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 250
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8326 | 0.09 | 50 | 0.7046 |
| 0.6404 | 0.18 | 100 | 0.6080 |
| 0.5771 | 0.27 | 150 | 0.5701 |
| 0.5637 | 0.36 | 200 | 0.5662 |
| 0.552 | 0.44 | 250 | 0.5718 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1 |