---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.1
model-index:
- name: mistral_instruct_generation_1
  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_1

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: 0.1697

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1269        | 1.05  | 20   | 0.9776          |
| 0.7172        | 2.11  | 40   | 0.6484          |
| 0.3904        | 3.16  | 60   | 0.4038          |
| 0.2259        | 4.21  | 80   | 0.2688          |
| 0.1255        | 5.26  | 100  | 0.2077          |
| 0.0844        | 6.32  | 120  | 0.1844          |
| 0.0702        | 7.37  | 140  | 0.1669          |
| 0.0596        | 8.42  | 160  | 0.1673          |
| 0.0471        | 9.47  | 180  | 0.1629          |
| 0.0378        | 10.53 | 200  | 0.1697          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1