---
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mistral-Automotive_Engine_parameter_FineTune
  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-Automotive_Engine_parameter_FineTune

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3795

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0051 | 10   | 2.6289          |
| No log        | 0.0102 | 20   | 1.9624          |
| No log        | 0.0154 | 30   | 1.7700          |
| No log        | 0.0205 | 40   | 1.5865          |
| 2.1702        | 0.0256 | 50   | 1.4648          |
| 2.1702        | 0.0307 | 60   | 1.4255          |
| 2.1702        | 0.0358 | 70   | 1.4026          |
| 2.1702        | 0.0410 | 80   | 1.3900          |
| 2.1702        | 0.0461 | 90   | 1.3794          |
| 1.409         | 0.0512 | 100  | 1.3795          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1