---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral7binstruct_summarize
  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. -->

# mistral7binstruct_summarize

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: 1.7060

## 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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7472        | 0.22  | 25   | 1.5467          |
| 1.5628        | 0.43  | 50   | 1.4716          |
| 1.5515        | 0.65  | 75   | 1.4513          |
| 1.4966        | 0.87  | 100  | 1.4446          |
| 1.4953        | 1.09  | 125  | 1.4509          |
| 1.4828        | 1.3   | 150  | 1.4492          |
| 1.4245        | 1.52  | 175  | 1.4513          |
| 1.4047        | 1.74  | 200  | 1.4539          |
| 1.4715        | 1.96  | 225  | 1.4541          |
| 1.3183        | 2.17  | 250  | 1.4828          |
| 1.2847        | 2.39  | 275  | 1.4780          |
| 1.3934        | 2.61  | 300  | 1.4872          |
| 1.3141        | 2.83  | 325  | 1.4947          |
| 1.2404        | 3.04  | 350  | 1.5483          |
| 1.1593        | 3.26  | 375  | 1.5560          |
| 1.151         | 3.48  | 400  | 1.5593          |
| 1.1381        | 3.7   | 425  | 1.5506          |
| 1.2021        | 3.91  | 450  | 1.5614          |
| 0.9731        | 4.13  | 475  | 1.6335          |
| 0.9721        | 4.35  | 500  | 1.7060          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2