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

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6324

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9438        | 0.03  | 25   | 1.2268          |
| 1.1449        | 0.06  | 50   | 1.1088          |
| 1.1742        | 0.09  | 75   | 1.0455          |
| 1.0987        | 0.12  | 100  | 0.9922          |
| 1.0298        | 0.15  | 125  | 0.9476          |
| 0.9422        | 0.18  | 150  | 0.9082          |
| 0.934         | 0.21  | 175  | 0.8789          |
| 0.8254        | 0.24  | 200  | 0.8560          |
| 1.045         | 0.27  | 225  | 0.8217          |
| 0.9614        | 0.3   | 250  | 0.7783          |
| 0.8001        | 0.33  | 275  | 0.7525          |
| 0.8299        | 0.36  | 300  | 0.7238          |
| 0.7427        | 0.39  | 325  | 0.7087          |
| 0.7323        | 0.42  | 350  | 0.6973          |
| 0.7501        | 0.45  | 375  | 0.6794          |
| 0.819         | 0.48  | 400  | 0.6692          |
| 0.7871        | 0.51  | 425  | 0.6544          |
| 0.7604        | 0.54  | 450  | 0.6431          |
| 0.6955        | 0.57  | 475  | 0.6356          |
| 0.6919        | 0.6   | 500  | 0.6324          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0