peft tensorboard safetensors trl sft generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.1 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-v0.1
model-index:
- name: finetune-mistral-cleaner-v2
  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. -->

# finetune-mistral-cleaner-v2

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7539

## Model description

A Mistral model finetuned for cleaning web source.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-07
- 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
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9886        | 0.13  | 20   | 1.7551          |
| 1.7559        | 0.27  | 40   | 1.7549          |
| 2.0012        | 0.4   | 60   | 1.7547          |
| 1.6501        | 0.53  | 80   | 1.7545          |
| 1.8329        | 0.67  | 100  | 1.7543          |
| 1.9872        | 0.8   | 120  | 1.7541          |
| 1.7711        | 0.93  | 140  | 1.7539          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.1
- Datasets 2.16.1
- Tokenizers 0.15.0