---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral-magyar-portas-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral-magyar-portas-lora

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0117

## 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: 0.0002
- 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
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0323        | 0.3918 | 500  | 0.0634          |
| 0.0123        | 0.7837 | 1000 | 0.0131          |
| 0.0094        | 1.1755 | 1500 | 0.0121          |
| 0.0093        | 1.5674 | 2000 | 0.0120          |
| 0.0088        | 1.9592 | 2500 | 0.0111          |
| 0.0065        | 2.3511 | 3000 | 0.0119          |
| 0.0064        | 2.7429 | 3500 | 0.0117          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1