---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- generator
model-index:
- name: mistral_instruct_v4_KQL
  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_v4_KQL

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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3304

## 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: 4
- 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: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.981         | 0.1709 | 20   | 0.8715          |
| 0.6642        | 0.3419 | 40   | 0.5926          |
| 0.5325        | 0.5128 | 60   | 0.4796          |
| 0.4483        | 0.6838 | 80   | 0.4293          |
| 0.4118        | 0.8547 | 100  | 0.3956          |
| 0.3709        | 1.0256 | 120  | 0.3746          |
| 0.3597        | 1.1966 | 140  | 0.3595          |
| 0.3584        | 1.3675 | 160  | 0.3490          |
| 0.3235        | 1.5385 | 180  | 0.3378          |
| 0.3314        | 1.7094 | 200  | 0.3304          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1