---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: malhajar/Mistral-7B-Instruct-v0.2-turkish
datasets:
- generator
model-index:
- name: mistral_instruct_generation_tr
  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. -->

# mistral_instruct_generation_tr

This model is a fine-tuned version of [malhajar/Mistral-7B-Instruct-v0.2-turkish](https://huggingface.co/malhajar/Mistral-7B-Instruct-v0.2-turkish) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0124

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3331        | 0.1198 | 20   | 0.1119          |
| 0.0341        | 0.2395 | 40   | 0.0257          |
| 0.0207        | 0.3593 | 60   | 0.0180          |
| 0.0192        | 0.4790 | 80   | 0.0137          |
| 0.0139        | 0.5988 | 100  | 0.0124          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1