---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on 800 examples from OpenOrca.
It achieves the following results on the evaluation set:
- Loss: 1.3820

## 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: 0.0001
- 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: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6764        | 0.25  | 50   | 1.5037          |
| 1.3936        | 0.5   | 100  | 1.4108          |
| 1.4016        | 0.75  | 150  | 1.3547          |
| 1.3152        | 1.0   | 200  | 1.3373          |
| 1.0919        | 1.25  | 250  | 1.3368          |
| 1.1336        | 1.5   | 300  | 1.3290          |
| 1.0541        | 1.75  | 350  | 1.3222          |
| 1.0844        | 2.0   | 400  | 1.3174          |
| 0.8657        | 2.25  | 450  | 1.3790          |
| 0.8606        | 2.5   | 500  | 1.3779          |
| 0.8483        | 2.75  | 550  | 1.3824          |
| 0.8258        | 3.0   | 600  | 1.3820          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2