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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: learn-python-easy-v2
results: []
pipeline_tag: question-answering
---
<!-- 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. -->
# learn-python-easy-v2
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on a samll dataset of 205 examples containing question and answer pairs regarding the Python Programming language for purposes of fine tuning experimentation.
It achieves the following results on the evaluation set:
- Loss: 0.7009
## Model description
More information needed
## Intended uses & limitations
This is intended to be used for experimental purposes regarding fine tuning of large language models and can be optimised for better outputs with more training examples.
## Training and evaluation data
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6791 | 1.0 | 164 | 0.6197 |
| 0.3764 | 2.0 | 328 | 0.5916 |
| 0.2089 | 3.0 | 492 | 0.6093 |
| 0.1416 | 4.0 | 656 | 0.6849 |
| 0.1185 | 5.0 | 820 | 0.7009 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |