---
license: apache-2.0
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: 0.8488

## 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1973        | 0.0305 | 20   | 1.1052          |
| 1.0347        | 0.0610 | 40   | 0.9958          |
| 0.9213        | 0.0915 | 60   | 0.9600          |
| 0.8886        | 0.1220 | 80   | 0.9406          |
| 0.9314        | 0.1524 | 100  | 0.9281          |
| 0.9668        | 0.1829 | 120  | 0.9197          |
| 0.887         | 0.2134 | 140  | 0.9128          |
| 0.8727        | 0.2439 | 160  | 0.9066          |
| 0.8571        | 0.2744 | 180  | 0.9005          |
| 0.8833        | 0.3049 | 200  | 0.8963          |
| 0.8466        | 0.3354 | 220  | 0.8912          |
| 0.9015        | 0.3659 | 240  | 0.8865          |
| 0.8602        | 0.3963 | 260  | 0.8822          |
| 0.8989        | 0.4268 | 280  | 0.8788          |
| 0.8452        | 0.4573 | 300  | 0.8758          |
| 0.8764        | 0.4878 | 320  | 0.8730          |
| 0.8702        | 0.5183 | 340  | 0.8708          |
| 0.8758        | 0.5488 | 360  | 0.8676          |
| 0.8071        | 0.5793 | 380  | 0.8638          |
| 0.8473        | 0.6098 | 400  | 0.8618          |
| 0.8822        | 0.6402 | 420  | 0.8586          |
| 0.8742        | 0.6707 | 440  | 0.8560          |
| 0.8526        | 0.7012 | 460  | 0.8533          |
| 0.8116        | 0.7317 | 480  | 0.8511          |
| 0.8593        | 0.7622 | 500  | 0.8488          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1