peft safetensors trl sft generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: Mistral-7B-Instruct-v0.2_06
  results: []
---

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# Mistral-7B-Instruct-v0.2_06

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4609

## 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: 8
- 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_ratio: 0.3
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8858        | 0.09  | 20   | 1.6917          |
| 1.4674        | 0.17  | 40   | 1.6269          |
| 1.5588        | 0.26  | 60   | 1.6090          |
| 1.5088        | 0.34  | 80   | 1.5809          |
| 1.2744        | 0.43  | 100  | 1.5596          |
| 1.742         | 0.51  | 120  | 1.5463          |
| 1.3846        | 0.6   | 140  | 1.5289          |
| 1.5378        | 0.68  | 160  | 1.5099          |
| 1.4594        | 0.77  | 180  | 1.4936          |
| 1.191         | 0.85  | 200  | 1.4790          |
| 1.614         | 0.94  | 220  | 1.4609          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0