---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.1
datasets:
- generator
model-index:
- name: mistral_instruct_generation
  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

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3233

## 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: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.05  | 20   | 0.5742          |
| No log        | 0.09  | 40   | 0.5366          |
| No log        | 0.14  | 60   | 0.5206          |
| No log        | 0.18  | 80   | 0.5128          |
| 0.553         | 0.23  | 100  | 0.5081          |
| 0.553         | 0.27  | 120  | 0.5027          |
| 0.553         | 0.32  | 140  | 0.4991          |
| 0.553         | 0.36  | 160  | 0.4961          |
| 0.553         | 0.41  | 180  | 0.4938          |
| 0.498         | 0.45  | 200  | 0.4892          |
| 0.498         | 0.5   | 220  | 0.4848          |
| 0.498         | 0.54  | 240  | 0.4804          |
| 0.498         | 0.59  | 260  | 0.4764          |
| 0.498         | 0.63  | 280  | 0.4698          |
| 0.4806        | 0.68  | 300  | 0.4630          |
| 0.4806        | 0.72  | 320  | 0.4543          |
| 0.4806        | 0.77  | 340  | 0.4457          |
| 0.4806        | 0.81  | 360  | 0.4324          |
| 0.4806        | 0.86  | 380  | 0.4200          |
| 0.4393        | 0.9   | 400  | 0.4105          |
| 0.4393        | 0.95  | 420  | 0.3930          |
| 0.4393        | 1.0   | 440  | 0.3763          |
| 0.4393        | 1.04  | 460  | 0.3614          |
| 0.4393        | 1.09  | 480  | 0.3438          |
| 0.3692        | 1.13  | 500  | 0.3233          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2